From 1b01f3201fdabac53fd94c54fab9faaf61b17d51 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 18 Sep 2023 23:02:32 +0000 Subject: [PATCH] deploy: c0e6d20c72538c159e0084960b09dec6d925527e --- 404.html | 4 ++-- .../{0e4b1b59.724e5677.js => 0e4b1b59.7dd3dcb6.js} | 2 +- .../{12cf9d53.528c0657.js => 12cf9d53.72eaf3f1.js} | 2 +- .../{161535df.c3b07de5.js => 161535df.2640b8e9.js} | 2 +- .../{1e47983f.7ac3a877.js => 1e47983f.ece56db9.js} | 2 +- .../{2367c334.15786447.js => 2367c334.07986431.js} | 2 +- assets/js/4d19d8bc.13f8bd5a.js | 1 - assets/js/4d19d8bc.aa6d56b6.js | 1 + .../{4d6f289c.52da9a2e.js => 4d6f289c.ca508f52.js} | 2 +- .../{5d9fd5dd.e9dc9102.js => 5d9fd5dd.c58e3718.js} | 2 +- .../{708a3a2f.139d75a0.js => 708a3a2f.20adedf3.js} | 2 +- .../{8980471f.df19ac68.js => 8980471f.8e64713f.js} | 2 +- .../{935f2afb.c645c64b.js => 935f2afb.25116ac0.js} | 2 +- .../{a1b719ab.462a7396.js => a1b719ab.e8428aa3.js} | 2 +- .../{a7f5a42f.8a37261d.js => a7f5a42f.f983644d.js} | 2 +- .../{b0bf1abf.1695aac6.js => b0bf1abf.53ed01f8.js} | 2 +- .../{b3c65406.901d65e9.js => b3c65406.49a54bcf.js} | 2 +- .../{ba2ed10b.f13c9ad7.js => ba2ed10b.fe4ea0a2.js} | 2 +- .../{c1b9c732.11057e91.js => c1b9c732.3d38b869.js} | 2 +- .../{c233fbe1.40c88d90.js => c233fbe1.68061d7c.js} | 2 +- .../{c2abd45e.86af6caa.js => c2abd45e.29f4c7c0.js} | 2 +- .../{c4a0799b.42ade09d.js => c4a0799b.8fe8bae7.js} | 2 +- .../{fee01693.2b33a435.js => fee01693.7513a069.js} | 2 +- ...ime~main.7697a614.js => runtime~main.7634ca1d.js} | 2 +- blog.html | 4 ++-- blog/archive.html | 4 ++-- blog/first-blog-post.html | 4 ++-- blog/tags.html | 4 ++-- blog/tags/hello.html | 4 ++-- blog/tags/neurosynth.html | 4 ++-- guide.html | 6 +++--- guide/glossary.html | 6 +++--- guide/walkthrough.html | 6 +++--- guide/walkthrough/Project.html | 6 +++--- guide/walkthrough/Project/Curation.html | 6 +++--- guide/walkthrough/Project/Extraction.html | 6 +++--- guide/walkthrough/Project/Specification.html | 6 +++--- guide/walkthrough/Studies.html | 6 +++--- guide/walkthrough/Studies/Searching.html | 6 +++--- guide/walkthrough/meta-analyses.html | 6 +++--- guide/walkthrough/search.html | 6 +++--- guide/walkthrough/studysets.html | 6 +++--- index.html | 6 +++--- introduction/ecosystem.html | 6 +++--- introduction/faq.html | 12 ++++++++---- introduction/team.html | 6 +++--- markdown-page.html | 4 ++-- tutorial.html | 6 +++--- tutorial/large-scale.html | 6 +++--- tutorial/manual.html | 6 +++--- tutorial/semi-automated.html | 6 +++--- 51 files changed, 103 insertions(+), 99 deletions(-) rename assets/js/{0e4b1b59.724e5677.js => 0e4b1b59.7dd3dcb6.js} (99%) rename assets/js/{12cf9d53.528c0657.js => 12cf9d53.72eaf3f1.js} (98%) rename assets/js/{161535df.c3b07de5.js => 161535df.2640b8e9.js} (98%) rename assets/js/{1e47983f.7ac3a877.js => 1e47983f.ece56db9.js} (98%) rename assets/js/{2367c334.15786447.js => 2367c334.07986431.js} (98%) delete mode 100644 assets/js/4d19d8bc.13f8bd5a.js create mode 100644 assets/js/4d19d8bc.aa6d56b6.js rename assets/js/{4d6f289c.52da9a2e.js => 4d6f289c.ca508f52.js} (98%) rename assets/js/{5d9fd5dd.e9dc9102.js => 5d9fd5dd.c58e3718.js} (98%) rename assets/js/{708a3a2f.139d75a0.js => 708a3a2f.20adedf3.js} (98%) rename assets/js/{8980471f.df19ac68.js => 8980471f.8e64713f.js} (98%) rename assets/js/{935f2afb.c645c64b.js => 935f2afb.25116ac0.js} (79%) rename assets/js/{a1b719ab.462a7396.js => a1b719ab.e8428aa3.js} (99%) rename assets/js/{a7f5a42f.8a37261d.js => a7f5a42f.f983644d.js} (98%) rename assets/js/{b0bf1abf.1695aac6.js => b0bf1abf.53ed01f8.js} (98%) rename assets/js/{b3c65406.901d65e9.js => b3c65406.49a54bcf.js} (98%) rename assets/js/{ba2ed10b.f13c9ad7.js => ba2ed10b.fe4ea0a2.js} (98%) rename assets/js/{c1b9c732.11057e91.js => c1b9c732.3d38b869.js} (99%) rename assets/js/{c233fbe1.40c88d90.js => c233fbe1.68061d7c.js} (98%) rename assets/js/{c2abd45e.86af6caa.js => c2abd45e.29f4c7c0.js} (98%) rename assets/js/{c4a0799b.42ade09d.js => c4a0799b.8fe8bae7.js} (98%) rename assets/js/{fee01693.2b33a435.js => fee01693.7513a069.js} (99%) rename assets/js/{runtime~main.7697a614.js => runtime~main.7634ca1d.js} (52%) diff --git a/404.html b/404.html index 9bd9b51..0b52a66 100644 --- a/404.html +++ b/404.html @@ -5,13 +5,13 @@ Page Not Found | Neurosynth Compose Docs - +
Skip to main content

Page Not Found

We could not find what you were looking for.

Please contact the owner of the site that linked you to the original URL and let them know their link is broken.

- + \ No newline at end of file diff --git a/assets/js/0e4b1b59.724e5677.js b/assets/js/0e4b1b59.7dd3dcb6.js similarity index 99% rename from assets/js/0e4b1b59.724e5677.js rename to assets/js/0e4b1b59.7dd3dcb6.js index 2c2d249..ccdcad1 100644 --- a/assets/js/0e4b1b59.724e5677.js +++ b/assets/js/0e4b1b59.7dd3dcb6.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[5477],{3905:(e,t,n)=>{n.d(t,{Zo:()=>p,kt:()=>m});var r=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function i(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(r=0;r=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=r.createContext({}),u=function(e){var t=r.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):i(i({},t),e)),n},p=function(e){var t=u(e.components);return r.createElement(l.Provider,{value:t},e.children)},d="mdxType",c={inlineCode:"code",wrapper:function(e){var t=e.children;return r.createElement(r.Fragment,{},t)}},h=r.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,p=s(e,["components","mdxType","originalType","parentName"]),d=u(n),h=o,m=d["".concat(l,".").concat(h)]||d[h]||c[h]||a;return n?r.createElement(m,i(i({ref:t},p),{},{components:n})):r.createElement(m,i({ref:t},p))}));function m(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,i=new Array(a);i[0]=h;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[d]="string"==typeof e?e:o,i[1]=s;for(var u=2;u{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>c,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var r=n(7462),o=(n(7294),n(3905));const a={},i=void 0,s={unversionedId:"guide/walkthrough/Studies/Searching",id:"guide/walkthrough/Studies/Searching",title:"Searching",description:"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies.",source:"@site/docs/guide/walkthrough/Studies/Searching.md",sourceDirName:"guide/walkthrough/Studies",slug:"/guide/walkthrough/Studies/Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Studies/Searching.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Studies Page",permalink:"/compose-docs/guide/walkthrough/Studies/"},next:{title:"Studysets Page",permalink:"/compose-docs/guide/walkthrough/studysets"}},l={},u=[{value:"Search Mechanics",id:"search-mechanics",level:3},{value:"Study Data Type",id:"study-data-type",level:3},{value:"Sorting Results",id:"sorting-results",level:3},{value:"Filtering",id:"filtering",level:3}],p={toc:u},d="wrapper";function c(e){let{components:t,...n}=e;return(0,o.kt)(d,(0,r.Z)({},p,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("p",null,"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies."),(0,o.kt)("h3",{id:"search-mechanics"},"Search Mechanics"),(0,o.kt)("p",null,'Searching for semantically relevant results utilizes PostgreSQL\'s support of tokens/vectors when searching documents for relevant text. This approach excludes commonly used words like "a", "it", "on", and "the". It also aims to return similar words and word forms during the search (the term "brain" should return "brains" for example). For a more in depth understanding, you can take a look at the ',(0,o.kt)("a",{parentName:"p",href:"https://www.postgresql.org/docs/current/textsearch-controls.html"},"docs for text search"),"."),(0,o.kt)("p",null,"Searches are conducted across title and abstract fields.\nThe input supports ",(0,o.kt)("inlineCode",{parentName:"p"},"AND"),", ",(0,o.kt)("inlineCode",{parentName:"p"},"OR"),", and ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operations. "),(0,o.kt)("p",null,"For example to use the ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," operator, you can enter in a value like ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine and memory"),". Similarly, you can enter an input like ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking or nicotine")," for the ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," operator, and ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking -marijuana")," for the ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operator (where marijuana is the excluded term)."),(0,o.kt)("p",null,"In order to ensure that text is grouped together (i.e. one word follows the other) you can include the words in quotes. For example, the search ",(0,o.kt)("inlineCode",{parentName:"p"},'"anterior insula"'),' will only yield results where the word "anterior" is followed by the word "insula". You can then use the above search operators on grouped words: ',(0,o.kt)("inlineCode",{parentName:"p"},'smokers -"anterior insula"')),(0,o.kt)("admonition",{type:"caution"},(0,o.kt)("p",{parentName:"admonition"},"PostgreSQL's search treats the ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," operator as a union between multiple different search groups. This means that for more complicated queries, you will need to repeat\ncertain ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," or ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operators amongst multiple clauses."),(0,o.kt)("p",{parentName:"admonition"},"For example, consider the search: ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine OR smoking -marijuana"),".\nIn this example, the search results returned to you will be all the results yielded from ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine")," unioned with all the results of ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking -marijuana"),". Having ",(0,o.kt)("inlineCode",{parentName:"p"},"-marijuana")," here does not relate to the entire search term - just ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking"),"."),(0,o.kt)("p",{parentName:"admonition"},"To ensure that you do not have any mention of marijuana in your returned papers, you must search: ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine -marijuana or smoking -marijuana"),"."),(0,o.kt)("p",{parentName:"admonition"},"The same case applies for ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," operations. In general, ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," unions between various search groups consisting of ",(0,o.kt)("inlineCode",{parentName:"p"},"and"),", ",(0,o.kt)("inlineCode",{parentName:"p"},"not"),", and quoted search terms. ")),(0,o.kt)("h3",{id:"study-data-type"},"Study Data Type"),(0,o.kt)("p",null,"Studies can either report their findings as coordinate data, image data, or in some cases, both. Using the Study Data Type button, you\ncan filter the results so that only coordinate or image data appears. For example, if you are doing a coordinate based meta-analysis, you\nwill want to filter the results to show only studies that report coordinates."),(0,o.kt)("h3",{id:"sorting-results"},"Sorting Results"),(0,o.kt)("p",null,"Use the Sort By feature to sort the results based on a given property. You can also set this to be ascending or descending."),(0,o.kt)("h3",{id:"filtering"},"Filtering"),(0,o.kt)("p",null,"To filter the results of the search, click on the orange ",(0,o.kt)("span",{style:{fontWeight:"bold",color:"orange"}},"Add Filter")," button. You have the option of filtering by title, description, author, or publication. Enter the string you want to filter by and click add to apply the filter."),(0,o.kt)("p",null,"Only one filter can be applied for each field. In order to remove a filter, simply click on the delete button on the given filter."))}c.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[5477],{3905:(e,t,n)=>{n.d(t,{Zo:()=>p,kt:()=>m});var r=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function i(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(r=0;r=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=r.createContext({}),u=function(e){var t=r.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):i(i({},t),e)),n},p=function(e){var t=u(e.components);return r.createElement(l.Provider,{value:t},e.children)},d="mdxType",c={inlineCode:"code",wrapper:function(e){var t=e.children;return r.createElement(r.Fragment,{},t)}},h=r.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,p=s(e,["components","mdxType","originalType","parentName"]),d=u(n),h=o,m=d["".concat(l,".").concat(h)]||d[h]||c[h]||a;return n?r.createElement(m,i(i({ref:t},p),{},{components:n})):r.createElement(m,i({ref:t},p))}));function m(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,i=new Array(a);i[0]=h;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[d]="string"==typeof e?e:o,i[1]=s;for(var u=2;u{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>c,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var r=n(7462),o=(n(7294),n(3905));const a={},i=void 0,s={unversionedId:"guide/walkthrough/Studies/Searching",id:"guide/walkthrough/Studies/Searching",title:"Searching",description:"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies.",source:"@site/docs/guide/walkthrough/Studies/Searching.md",sourceDirName:"guide/walkthrough/Studies",slug:"/guide/walkthrough/Studies/Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Studies/Searching.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Studies Page",permalink:"/compose-docs/guide/walkthrough/Studies/"},next:{title:"Studysets Page",permalink:"/compose-docs/guide/walkthrough/studysets"}},l={},u=[{value:"Search Mechanics",id:"search-mechanics",level:3},{value:"Study Data Type",id:"study-data-type",level:3},{value:"Sorting Results",id:"sorting-results",level:3},{value:"Filtering",id:"filtering",level:3}],p={toc:u},d="wrapper";function c(e){let{components:t,...n}=e;return(0,o.kt)(d,(0,r.Z)({},p,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("p",null,"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies."),(0,o.kt)("h3",{id:"search-mechanics"},"Search Mechanics"),(0,o.kt)("p",null,'Searching for semantically relevant results utilizes PostgreSQL\'s support of tokens/vectors when searching documents for relevant text. This approach excludes commonly used words like "a", "it", "on", and "the". It also aims to return similar words and word forms during the search (the term "brain" should return "brains" for example). For a more in depth understanding, you can take a look at the ',(0,o.kt)("a",{parentName:"p",href:"https://www.postgresql.org/docs/current/textsearch-controls.html"},"docs for text search"),"."),(0,o.kt)("p",null,"Searches are conducted across title and abstract fields.\nThe input supports ",(0,o.kt)("inlineCode",{parentName:"p"},"AND"),", ",(0,o.kt)("inlineCode",{parentName:"p"},"OR"),", and ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operations. "),(0,o.kt)("p",null,"For example to use the ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," operator, you can enter in a value like ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine and memory"),". Similarly, you can enter an input like ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking or nicotine")," for the ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," operator, and ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking -marijuana")," for the ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operator (where marijuana is the excluded term)."),(0,o.kt)("p",null,"In order to ensure that text is grouped together (i.e. one word follows the other) you can include the words in quotes. For example, the search ",(0,o.kt)("inlineCode",{parentName:"p"},'"anterior insula"'),' will only yield results where the word "anterior" is followed by the word "insula". You can then use the above search operators on grouped words: ',(0,o.kt)("inlineCode",{parentName:"p"},'smokers -"anterior insula"')),(0,o.kt)("admonition",{type:"caution"},(0,o.kt)("p",{parentName:"admonition"},"PostgreSQL's search treats the ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," operator as a union between multiple different search groups. This means that for more complicated queries, you will need to repeat\ncertain ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," or ",(0,o.kt)("inlineCode",{parentName:"p"},"NOT")," operators amongst multiple clauses."),(0,o.kt)("p",{parentName:"admonition"},"For example, consider the search: ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine OR smoking -marijuana"),".\nIn this example, the search results returned to you will be all the results yielded from ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine")," unioned with all the results of ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking -marijuana"),". Having ",(0,o.kt)("inlineCode",{parentName:"p"},"-marijuana")," here does not relate to the entire search term - just ",(0,o.kt)("inlineCode",{parentName:"p"},"smoking"),"."),(0,o.kt)("p",{parentName:"admonition"},"To ensure that you do not have any mention of marijuana in your returned papers, you must search: ",(0,o.kt)("inlineCode",{parentName:"p"},"nicotine -marijuana or smoking -marijuana"),"."),(0,o.kt)("p",{parentName:"admonition"},"The same case applies for ",(0,o.kt)("inlineCode",{parentName:"p"},"AND")," operations. In general, ",(0,o.kt)("inlineCode",{parentName:"p"},"OR")," unions between various search groups consisting of ",(0,o.kt)("inlineCode",{parentName:"p"},"and"),", ",(0,o.kt)("inlineCode",{parentName:"p"},"not"),", and quoted search terms. ")),(0,o.kt)("h3",{id:"study-data-type"},"Study Data Type"),(0,o.kt)("p",null,"Studies can either report their findings as coordinate data, image data, or in some cases, both. Using the Study Data Type button, you\ncan filter the results so that only coordinate or image data appears. For example, if you are doing a coordinate based meta-analysis, you\nwill want to filter the results to show only studies that report coordinates."),(0,o.kt)("h3",{id:"sorting-results"},"Sorting Results"),(0,o.kt)("p",null,"Use the Sort By feature to sort the results based on a given property. You can also set this to be ascending or descending."),(0,o.kt)("h3",{id:"filtering"},"Filtering"),(0,o.kt)("p",null,"To filter the results of the search, click on the orange ",(0,o.kt)("span",{style:{fontWeight:"bold",color:"orange"}},"Add Filter")," button. You have the option of filtering by title, description, author, or publication. Enter the string you want to filter by and click add to apply the filter."),(0,o.kt)("p",null,"Only one filter can be applied for each field. In order to remove a filter, simply click on the delete button on the given filter."))}c.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/12cf9d53.528c0657.js b/assets/js/12cf9d53.72eaf3f1.js similarity index 98% rename from assets/js/12cf9d53.528c0657.js rename to assets/js/12cf9d53.72eaf3f1.js index 3dfbb89..9715776 100644 --- a/assets/js/12cf9d53.528c0657.js +++ b/assets/js/12cf9d53.72eaf3f1.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[4845],{3905:(e,t,r)=>{r.d(t,{Zo:()=>d,kt:()=>g});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var u=n.createContext({}),s=function(e){var t=n.useContext(u),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},d=function(e){var t=s(e.components);return n.createElement(u.Provider,{value:t},e.children)},l="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,i=e.originalType,u=e.parentName,d=c(e,["components","mdxType","originalType","parentName"]),l=s(r),f=o,g=l["".concat(u,".").concat(f)]||l[f]||p[f]||i;return r?n.createElement(g,a(a({ref:t},d),{},{components:r})):n.createElement(g,a({ref:t},d))}));function g(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var i=r.length,a=new Array(i);a[0]=f;var c={};for(var u in t)hasOwnProperty.call(t,u)&&(c[u]=t[u]);c.originalType=e,c[l]="string"==typeof e?e:o,a[1]=c;for(var s=2;s{r.r(t),r.d(t,{assets:()=>u,contentTitle:()=>a,default:()=>p,frontMatter:()=>i,metadata:()=>c,toc:()=>s});var n=r(7462),o=(r(7294),r(3905));const i={title:"Studies Page",sidebar_position:0},a="Studies Page",c={unversionedId:"guide/walkthrough/Studies/index",id:"guide/walkthrough/Studies/index",title:"Studies Page",description:"",source:"@site/docs/guide/walkthrough/Studies/index.mdx",sourceDirName:"guide/walkthrough/Studies",slug:"/guide/walkthrough/Studies/",permalink:"/compose-docs/guide/walkthrough/Studies/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Studies/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Studies Page",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification"},next:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching"}},u={},s=[],d={toc:s},l="wrapper";function p(e){let{components:t,...r}=e;return(0,o.kt)(l,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"studies-page"},"Studies Page"))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[4845],{3905:(e,t,r)=>{r.d(t,{Zo:()=>d,kt:()=>g});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var u=n.createContext({}),s=function(e){var t=n.useContext(u),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},d=function(e){var t=s(e.components);return n.createElement(u.Provider,{value:t},e.children)},l="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,i=e.originalType,u=e.parentName,d=c(e,["components","mdxType","originalType","parentName"]),l=s(r),f=o,g=l["".concat(u,".").concat(f)]||l[f]||p[f]||i;return r?n.createElement(g,a(a({ref:t},d),{},{components:r})):n.createElement(g,a({ref:t},d))}));function g(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var i=r.length,a=new Array(i);a[0]=f;var c={};for(var u in t)hasOwnProperty.call(t,u)&&(c[u]=t[u]);c.originalType=e,c[l]="string"==typeof e?e:o,a[1]=c;for(var s=2;s{r.r(t),r.d(t,{assets:()=>u,contentTitle:()=>a,default:()=>p,frontMatter:()=>i,metadata:()=>c,toc:()=>s});var n=r(7462),o=(r(7294),r(3905));const i={title:"Studies Page",sidebar_position:0},a="Studies Page",c={unversionedId:"guide/walkthrough/Studies/index",id:"guide/walkthrough/Studies/index",title:"Studies Page",description:"",source:"@site/docs/guide/walkthrough/Studies/index.mdx",sourceDirName:"guide/walkthrough/Studies",slug:"/guide/walkthrough/Studies/",permalink:"/compose-docs/guide/walkthrough/Studies/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Studies/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Studies Page",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification"},next:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching"}},u={},s=[],d={toc:s},l="wrapper";function p(e){let{components:t,...r}=e;return(0,o.kt)(l,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"studies-page"},"Studies Page"))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/161535df.c3b07de5.js b/assets/js/161535df.2640b8e9.js similarity index 98% rename from assets/js/161535df.c3b07de5.js rename to assets/js/161535df.2640b8e9.js index d363b70..14e030b 100644 --- a/assets/js/161535df.c3b07de5.js +++ b/assets/js/161535df.2640b8e9.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1746],{3905:(e,t,r)=>{r.d(t,{Zo:()=>l,kt:()=>y});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function s(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var c=n.createContext({}),u=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):s(s({},t),e)),r},l=function(e){var t=u(e.components);return n.createElement(c.Provider,{value:t},e.children)},p="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,a=e.originalType,c=e.parentName,l=i(e,["components","mdxType","originalType","parentName"]),p=u(r),f=o,y=p["".concat(c,".").concat(f)]||p[f]||d[f]||a;return r?n.createElement(y,s(s({ref:t},l),{},{components:r})):n.createElement(y,s({ref:t},l))}));function y(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=r.length,s=new Array(a);s[0]=f;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[p]="string"==typeof e?e:o,s[1]=i;for(var u=2;u{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>s,default:()=>d,frontMatter:()=>a,metadata:()=>i,toc:()=>u});var n=r(7462),o=(r(7294),r(3905));const a={title:"Studysets Page",sidebar_position:1},s=void 0,i={unversionedId:"guide/walkthrough/studysets",id:"guide/walkthrough/studysets",title:"Studysets Page",description:"",source:"@site/docs/guide/walkthrough/studysets.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/studysets",permalink:"/compose-docs/guide/walkthrough/studysets",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/studysets.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{title:"Studysets Page",sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching"},next:{title:"Meta-Analyses Page",permalink:"/compose-docs/guide/walkthrough/meta-analyses"}},c={},u=[],l={toc:u},p="wrapper";function d(e){let{components:t,...r}=e;return(0,o.kt)(p,(0,n.Z)({},l,r,{components:t,mdxType:"MDXLayout"}))}d.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1746],{3905:(e,t,r)=>{r.d(t,{Zo:()=>l,kt:()=>y});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function s(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var c=n.createContext({}),u=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):s(s({},t),e)),r},l=function(e){var t=u(e.components);return n.createElement(c.Provider,{value:t},e.children)},p="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,a=e.originalType,c=e.parentName,l=i(e,["components","mdxType","originalType","parentName"]),p=u(r),f=o,y=p["".concat(c,".").concat(f)]||p[f]||d[f]||a;return r?n.createElement(y,s(s({ref:t},l),{},{components:r})):n.createElement(y,s({ref:t},l))}));function y(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=r.length,s=new Array(a);s[0]=f;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[p]="string"==typeof e?e:o,s[1]=i;for(var u=2;u{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>s,default:()=>d,frontMatter:()=>a,metadata:()=>i,toc:()=>u});var n=r(7462),o=(r(7294),r(3905));const a={title:"Studysets Page",sidebar_position:1},s=void 0,i={unversionedId:"guide/walkthrough/studysets",id:"guide/walkthrough/studysets",title:"Studysets Page",description:"",source:"@site/docs/guide/walkthrough/studysets.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/studysets",permalink:"/compose-docs/guide/walkthrough/studysets",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/studysets.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{title:"Studysets Page",sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/Studies/Searching"},next:{title:"Meta-Analyses Page",permalink:"/compose-docs/guide/walkthrough/meta-analyses"}},c={},u=[],l={toc:u},p="wrapper";function d(e){let{components:t,...r}=e;return(0,o.kt)(p,(0,n.Z)({},l,r,{components:t,mdxType:"MDXLayout"}))}d.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/1e47983f.7ac3a877.js b/assets/js/1e47983f.ece56db9.js similarity index 98% rename from assets/js/1e47983f.7ac3a877.js rename to assets/js/1e47983f.ece56db9.js index 6a61431..a6016fa 100644 --- a/assets/js/1e47983f.7ac3a877.js +++ b/assets/js/1e47983f.ece56db9.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[5730],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>b});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=a.createContext({}),c=function(e){var t=a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},m=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,l=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),d=c(r),m=n,b=d["".concat(l,".").concat(m)]||d[m]||p[m]||o;return r?a.createElement(b,i(i({ref:t},u),{},{components:r})):a.createElement(b,i({ref:t},u))}));function b(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,i=new Array(o);i[0]=m;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[d]="string"==typeof e?e:n,i[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>p,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={title:"Meta-Analyses Page",sidebar_position:2},i="a",s={unversionedId:"guide/walkthrough/meta-analyses",id:"guide/walkthrough/meta-analyses",title:"Meta-Analyses Page",description:"a.a",source:"@site/docs/guide/walkthrough/meta-analyses.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/meta-analyses",permalink:"/compose-docs/guide/walkthrough/meta-analyses",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/meta-analyses.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{title:"Meta-Analyses Page",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"Studysets Page",permalink:"/compose-docs/guide/walkthrough/studysets"},next:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/search"}},l={},c=[{value:"a.a",id:"aa",level:2},{value:"a.b",id:"ab",level:2},{value:"a.b.a",id:"aba",level:2},{value:"b.b",id:"bb",level:2}],u={toc:c},d="wrapper";function p(e){let{components:t,...r}=e;return(0,n.kt)(d,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"a"},"a"),(0,n.kt)("h2",{id:"aa"},"a.a"),(0,n.kt)("h2",{id:"ab"},"a.b"),(0,n.kt)("h2",{id:"aba"},"a.b.a"),(0,n.kt)("h1",{id:"b"},"b"),(0,n.kt)("h2",{id:"bb"},"b.b"),(0,n.kt)("h1",{id:"c"},"c"))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[5730],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>b});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=a.createContext({}),c=function(e){var t=a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},m=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,l=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),d=c(r),m=n,b=d["".concat(l,".").concat(m)]||d[m]||p[m]||o;return r?a.createElement(b,i(i({ref:t},u),{},{components:r})):a.createElement(b,i({ref:t},u))}));function b(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,i=new Array(o);i[0]=m;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[d]="string"==typeof e?e:n,i[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>p,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={title:"Meta-Analyses Page",sidebar_position:2},i="a",s={unversionedId:"guide/walkthrough/meta-analyses",id:"guide/walkthrough/meta-analyses",title:"Meta-Analyses Page",description:"a.a",source:"@site/docs/guide/walkthrough/meta-analyses.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/meta-analyses",permalink:"/compose-docs/guide/walkthrough/meta-analyses",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/meta-analyses.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{title:"Meta-Analyses Page",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"Studysets Page",permalink:"/compose-docs/guide/walkthrough/studysets"},next:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/search"}},l={},c=[{value:"a.a",id:"aa",level:2},{value:"a.b",id:"ab",level:2},{value:"a.b.a",id:"aba",level:2},{value:"b.b",id:"bb",level:2}],u={toc:c},d="wrapper";function p(e){let{components:t,...r}=e;return(0,n.kt)(d,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"a"},"a"),(0,n.kt)("h2",{id:"aa"},"a.a"),(0,n.kt)("h2",{id:"ab"},"a.b"),(0,n.kt)("h2",{id:"aba"},"a.b.a"),(0,n.kt)("h1",{id:"b"},"b"),(0,n.kt)("h2",{id:"bb"},"b.b"),(0,n.kt)("h1",{id:"c"},"c"))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/2367c334.15786447.js b/assets/js/2367c334.07986431.js similarity index 98% rename from assets/js/2367c334.15786447.js rename to assets/js/2367c334.07986431.js index a434030..cebae73 100644 --- a/assets/js/2367c334.15786447.js +++ b/assets/js/2367c334.07986431.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7068],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function l(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var c=n.createContext({}),s=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):l(l({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(c.Provider,{value:t},e.children)},p="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},d=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,c=e.parentName,u=i(e,["components","mdxType","originalType","parentName"]),p=s(r),d=a,f=p["".concat(c,".").concat(d)]||p[d]||m[d]||o;return r?n.createElement(f,l(l({ref:t},u),{},{components:r})):n.createElement(f,l({ref:t},u))}));function f(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,l=new Array(o);l[0]=d;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[p]="string"==typeof e?e:a,l[1]=i;for(var s=2;s{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>l,default:()=>m,frontMatter:()=>o,metadata:()=>i,toc:()=>s});var n=r(7462),a=(r(7294),r(3905));const o={},l="Manual Meta-Analysis",i={unversionedId:"tutorial/manual",id:"tutorial/manual",title:"Manual Meta-Analysis",description:"",source:"@site/docs/tutorial/manual.md",sourceDirName:"tutorial",slug:"/tutorial/manual",permalink:"/compose-docs/tutorial/manual",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/manual.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Automated Meta-Analysis",permalink:"/compose-docs/tutorial/large-scale"},next:{title:"User Guide",permalink:"/compose-docs/guide/"}},c={},s=[],u={toc:s},p="wrapper";function m(e){let{components:t,...r}=e;return(0,a.kt)(p,(0,n.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"manual-meta-analysis"},"Manual Meta-Analysis"))}m.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7068],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function l(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var c=n.createContext({}),s=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):l(l({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(c.Provider,{value:t},e.children)},p="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},d=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,c=e.parentName,u=i(e,["components","mdxType","originalType","parentName"]),p=s(r),d=a,f=p["".concat(c,".").concat(d)]||p[d]||m[d]||o;return r?n.createElement(f,l(l({ref:t},u),{},{components:r})):n.createElement(f,l({ref:t},u))}));function f(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,l=new Array(o);l[0]=d;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[p]="string"==typeof e?e:a,l[1]=i;for(var s=2;s{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>l,default:()=>m,frontMatter:()=>o,metadata:()=>i,toc:()=>s});var n=r(7462),a=(r(7294),r(3905));const o={},l="Manual Meta-Analysis",i={unversionedId:"tutorial/manual",id:"tutorial/manual",title:"Manual Meta-Analysis",description:"",source:"@site/docs/tutorial/manual.md",sourceDirName:"tutorial",slug:"/tutorial/manual",permalink:"/compose-docs/tutorial/manual",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/manual.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Automated Meta-Analysis",permalink:"/compose-docs/tutorial/large-scale"},next:{title:"User Guide",permalink:"/compose-docs/guide/"}},c={},s=[],u={toc:s},p="wrapper";function m(e){let{components:t,...r}=e;return(0,a.kt)(p,(0,n.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"manual-meta-analysis"},"Manual Meta-Analysis"))}m.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/4d19d8bc.13f8bd5a.js b/assets/js/4d19d8bc.13f8bd5a.js deleted file mode 100644 index df01877..0000000 --- a/assets/js/4d19d8bc.13f8bd5a.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7999],{3905:(e,t,n)=>{n.d(t,{Zo:()=>u,kt:()=>y});var r=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function s(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(r=0;r=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=r.createContext({}),c=function(e){var t=r.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):s(s({},t),e)),n},u=function(e){var t=c(e.components);return r.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return r.createElement(r.Fragment,{},t)}},m=r.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,u=i(e,["components","mdxType","originalType","parentName"]),d=c(n),m=o,y=d["".concat(l,".").concat(m)]||d[m]||p[m]||a;return n?r.createElement(y,s(s({ref:t},u),{},{components:n})):r.createElement(y,s({ref:t},u))}));function y(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,s=new Array(a);s[0]=m;var i={};for(var l in t)hasOwnProperty.call(t,l)&&(i[l]=t[l]);i.originalType=e,i[d]="string"==typeof e?e:o,s[1]=i;for(var c=2;c{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>s,default:()=>p,frontMatter:()=>a,metadata:()=>i,toc:()=>c});var r=n(7462),o=(n(7294),n(3905));const a={sidebar_label:"FAQ",sidebar_position:3},s="Frequently Asked Questions",i={unversionedId:"introduction/faq",id:"introduction/faq",title:"Frequently Asked Questions",description:"* How does this project relate to the original Neurosynth?",source:"@site/docs/introduction/faq.md",sourceDirName:"introduction",slug:"/introduction/faq",permalink:"/compose-docs/introduction/faq",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/faq.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:3,frontMatter:{sidebar_label:"FAQ",sidebar_position:3},sidebar:"tutorialSidebar",previous:{title:"Ecosystem",permalink:"/compose-docs/introduction/ecosystem"},next:{title:"Our Team",permalink:"/compose-docs/introduction/team"}},l={},c=[],u={toc:c},d="wrapper";function p(e){let{components:t,...n}=e;return(0,o.kt)(d,(0,r.Z)({},u,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"frequently-asked-questions"},"Frequently Asked Questions"),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"How does this project relate to the original Neurosynth?")),(0,o.kt)("p",null,"Neurosynth 1.0 was an online platform for browsing automatically generated large-scale neuroimaging meta-analyses. However, because all analyses were pre-generated, users were unable to define custom meta-analyses using the Neurosynth database. Instead, Neurosynth 1.0 used text mining techniques to automatically group studies based on the frequency of the terms mentioned in the text. Neurosynth Compose is focused on allowing users to overcome the limitations of automated large-scale meta-analysis, by enabling users to annotate studies, and curate sets of studies amenable for meta-analysis. This way, users can systematically define meta-analyses using their own expertise, while still leveraging the Neurosynth database, and an easy-to-use web-based analysis builder to accelerate the meta-analysis process."),(0,o.kt)("p",null," You can read more about the relationship between Neurosynth 1.0 and Neurosynth Compose under ",(0,o.kt)("a",{parentName:"p",href:"./ecosystem#neurosynth-compose"},"Ecosystem")))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/4d19d8bc.aa6d56b6.js b/assets/js/4d19d8bc.aa6d56b6.js new file mode 100644 index 0000000..cafecbb --- /dev/null +++ b/assets/js/4d19d8bc.aa6d56b6.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7999],{3905:(e,t,n)=>{n.d(t,{Zo:()=>c,kt:()=>y});var a=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function r(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,a)}return n}function s(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=a.createContext({}),u=function(e){var t=a.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):s(s({},t),e)),n},c=function(e){var t=u(e.components);return a.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},m=a.forwardRef((function(e,t){var n=e.components,o=e.mdxType,r=e.originalType,l=e.parentName,c=i(e,["components","mdxType","originalType","parentName"]),d=u(n),m=o,y=d["".concat(l,".").concat(m)]||d[m]||p[m]||r;return n?a.createElement(y,s(s({ref:t},c),{},{components:n})):a.createElement(y,s({ref:t},c))}));function y(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var r=n.length,s=new Array(r);s[0]=m;var i={};for(var l in t)hasOwnProperty.call(t,l)&&(i[l]=t[l]);i.originalType=e,i[d]="string"==typeof e?e:o,s[1]=i;for(var u=2;u{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>s,default:()=>p,frontMatter:()=>r,metadata:()=>i,toc:()=>u});var a=n(7462),o=(n(7294),n(3905));const r={sidebar_label:"FAQ",sidebar_position:3},s="Frequently Asked Questions",i={unversionedId:"introduction/faq",id:"introduction/faq",title:"Frequently Asked Questions",description:"* Is this service free to use?",source:"@site/docs/introduction/faq.md",sourceDirName:"introduction",slug:"/introduction/faq",permalink:"/compose-docs/introduction/faq",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/faq.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:3,frontMatter:{sidebar_label:"FAQ",sidebar_position:3},sidebar:"tutorialSidebar",previous:{title:"Ecosystem",permalink:"/compose-docs/introduction/ecosystem"},next:{title:"Our Team",permalink:"/compose-docs/introduction/team"}},l={},u=[],c={toc:u},d="wrapper";function p(e){let{components:t,...n}=e;return(0,o.kt)(d,(0,a.Z)({},c,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"frequently-asked-questions"},"Frequently Asked Questions"),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"Is this service free to use?")),(0,o.kt)("p",null,"Yes! Note, however, that NS-Compose is a web-based engine for neuroimaging meta-analysis specification; at the moment, we don\u2019t (yet?) provide free computing resources for the execution of the resulting meta-analysis specifications. However, you can easily run your meta-analysis in the cloud using Google Colab, or locally using Python. Instructions are provided after you complete a meta-analysis. "),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"Are there any restrictions on meta-analyses created?")),(0,o.kt)("p",null,"Yes. Once a meta-analysis specification is executed and results are uploaded to our platform, you will no longer be able to ",(0,o.kt)("em",{parentName:"p"},"delete")," or ",(0,o.kt)("em",{parentName:"p"},"edit")," the analysis specification. A complete copy of the StudySet and Analysis is kept on our system to ensure compelte provenance. You can, however, keep the analysis as private to ensure it is unlisted in the public search."),(0,o.kt)("p",null,"If you wish to make any edits, you can edit the StudySet and create a new Analysis specification, which will receive a new unique ID."),(0,o.kt)("p",null,"Also, in the event that you publish any results generated using the Neurosynth Compose, you MUST provide a link to the corresponding meta-analysis specification ID on the platform."),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"I've noticed that a study on your platform contains errors or is incomplete, can I fix them?")),(0,o.kt)("p",null,"Yes! We welcome user contributions. You can correct or add details on a study, including meta-data and peak activation coordinates.\nA key piece of information that you may want to correct is how Activation coordinates are grouped into distinct Analyses (i.e. Contrasts).\nPlease ensure that any edits you make are as objective as possible and reflect what is represented in the original Study, and ",(0,o.kt)("em",{parentName:"p"},"not")," the goals of your meta-analysis. "),(0,o.kt)("p",null,"Note, that to avoid debates about the ground truth of a Study, when you make edits a new Version of the study is created, which is associated with your User. "),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"If I contribute new studies to the platform, or edit existing studies, will other users be able to see them?")),(0,o.kt)("p",null,"Yes! Althuogh a new Version of the study is created when you make any edits, we default to displaying user edited Versions over the automatically extracted versions.\nThis is because we assume that any edits made by users will be an improvements on the extraction algorithm. Please ensure any changes you make reflect this.\nYou may also make a Version private if you don't want to share your edits with others. "),(0,o.kt)("ul",null,(0,o.kt)("li",{parentName:"ul"},"How does this project relate to the original Neurosynth?")),(0,o.kt)("p",null,"Neurosynth 1.0 was an online platform for browsing automatically generated large-scale neuroimaging meta-analyses. However, because all analyses were pre-generated, users were unable to define custom meta-analyses using the Neurosynth database. Instead, Neurosynth 1.0 used text mining techniques to automatically group studies based on the frequency of the terms mentioned in the text. Neurosynth Compose is focused on allowing users to overcome the limitations of automated large-scale meta-analysis, by enabling users to annotate studies, and curate sets of studies amenable for meta-analysis. This way, users can systematically define meta-analyses using their own expertise, while still leveraging the Neurosynth database, and an easy-to-use web-based analysis builder to accelerate the meta-analysis process."),(0,o.kt)("p",null," You can read more about the relationship between Neurosynth 1.0 and Neurosynth Compose under ",(0,o.kt)("a",{parentName:"p",href:"./ecosystem#neurosynth-compose"},"Ecosystem")))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/4d6f289c.52da9a2e.js b/assets/js/4d6f289c.ca508f52.js similarity index 98% rename from assets/js/4d6f289c.52da9a2e.js rename to assets/js/4d6f289c.ca508f52.js index 93d6d4f..cddb770 100644 --- a/assets/js/4d6f289c.52da9a2e.js +++ b/assets/js/4d6f289c.ca508f52.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7337],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>g});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function s(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var c=n.createContext({}),l=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):s(s({},t),e)),r},u=function(e){var t=l(e.components);return n.createElement(c.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},h=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,c=e.parentName,u=i(e,["components","mdxType","originalType","parentName"]),d=l(r),h=a,g=d["".concat(c,".").concat(h)]||d[h]||p[h]||o;return r?n.createElement(g,s(s({ref:t},u),{},{components:r})):n.createElement(g,s({ref:t},u))}));function g(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,s=new Array(o);s[0]=h;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[d]="string"==typeof e?e:a,s[1]=i;for(var l=2;l{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>s,default:()=>p,frontMatter:()=>o,metadata:()=>i,toc:()=>l});var n=r(7462),a=(r(7294),r(3905));const o={title:"Searching",sidebar_position:4},s="Intro To Searching",i={unversionedId:"guide/walkthrough/search",id:"guide/walkthrough/search",title:"Searching",description:"Searching Studies",source:"@site/docs/guide/walkthrough/search.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/search",permalink:"/compose-docs/guide/walkthrough/search",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/search.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:4,frontMatter:{title:"Searching",sidebar_position:4},sidebar:"tutorialSidebar",previous:{title:"Meta-Analyses Page",permalink:"/compose-docs/guide/walkthrough/meta-analyses"},next:{title:"Glossary",permalink:"/compose-docs/guide/glossary"}},c={},l=[{value:"Searching Studies",id:"searching-studies",level:3},{value:"Searching Studysets",id:"searching-studysets",level:3},{value:"Searching Meta-Analyses",id:"searching-meta-analyses",level:3}],u={toc:l},d="wrapper";function p(e){let{components:t,...r}=e;return(0,a.kt)(d,(0,n.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"intro-to-searching"},"Intro To Searching"),(0,a.kt)("h3",{id:"searching-studies"},"Searching Studies"),(0,a.kt)("p",null,"Neurosynth-Compose supports multiple ways to search for studies."),(0,a.kt)("h3",{id:"searching-studysets"},"Searching Studysets"),(0,a.kt)("h3",{id:"searching-meta-analyses"},"Searching Meta-Analyses"))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[7337],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>g});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function s(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var c=n.createContext({}),l=function(e){var t=n.useContext(c),r=t;return e&&(r="function"==typeof e?e(t):s(s({},t),e)),r},u=function(e){var t=l(e.components);return n.createElement(c.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},h=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,c=e.parentName,u=i(e,["components","mdxType","originalType","parentName"]),d=l(r),h=a,g=d["".concat(c,".").concat(h)]||d[h]||p[h]||o;return r?n.createElement(g,s(s({ref:t},u),{},{components:r})):n.createElement(g,s({ref:t},u))}));function g(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,s=new Array(o);s[0]=h;var i={};for(var c in t)hasOwnProperty.call(t,c)&&(i[c]=t[c]);i.originalType=e,i[d]="string"==typeof e?e:a,s[1]=i;for(var l=2;l{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>s,default:()=>p,frontMatter:()=>o,metadata:()=>i,toc:()=>l});var n=r(7462),a=(r(7294),r(3905));const o={title:"Searching",sidebar_position:4},s="Intro To Searching",i={unversionedId:"guide/walkthrough/search",id:"guide/walkthrough/search",title:"Searching",description:"Searching Studies",source:"@site/docs/guide/walkthrough/search.md",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/search",permalink:"/compose-docs/guide/walkthrough/search",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/search.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:4,frontMatter:{title:"Searching",sidebar_position:4},sidebar:"tutorialSidebar",previous:{title:"Meta-Analyses Page",permalink:"/compose-docs/guide/walkthrough/meta-analyses"},next:{title:"Glossary",permalink:"/compose-docs/guide/glossary"}},c={},l=[{value:"Searching Studies",id:"searching-studies",level:3},{value:"Searching Studysets",id:"searching-studysets",level:3},{value:"Searching Meta-Analyses",id:"searching-meta-analyses",level:3}],u={toc:l},d="wrapper";function p(e){let{components:t,...r}=e;return(0,a.kt)(d,(0,n.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"intro-to-searching"},"Intro To Searching"),(0,a.kt)("h3",{id:"searching-studies"},"Searching Studies"),(0,a.kt)("p",null,"Neurosynth-Compose supports multiple ways to search for studies."),(0,a.kt)("h3",{id:"searching-studysets"},"Searching Studysets"),(0,a.kt)("h3",{id:"searching-meta-analyses"},"Searching Meta-Analyses"))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/5d9fd5dd.e9dc9102.js b/assets/js/5d9fd5dd.c58e3718.js similarity index 98% rename from assets/js/5d9fd5dd.e9dc9102.js rename to assets/js/5d9fd5dd.c58e3718.js index 00da6b3..f82e227 100644 --- a/assets/js/5d9fd5dd.e9dc9102.js +++ b/assets/js/5d9fd5dd.c58e3718.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6808],{3905:(e,t,r)=>{r.d(t,{Zo:()=>s,kt:()=>f});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function i(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var p=n.createContext({}),u=function(e){var t=n.useContext(p),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},s=function(e){var t=u(e.components);return n.createElement(p.Provider,{value:t},e.children)},c="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},d=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,p=e.parentName,s=l(e,["components","mdxType","originalType","parentName"]),c=u(r),d=a,f=c["".concat(p,".").concat(d)]||c[d]||m[d]||o;return r?n.createElement(f,i(i({ref:t},s),{},{components:r})):n.createElement(f,i({ref:t},s))}));function f(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,i=new Array(o);i[0]=d;var l={};for(var p in t)hasOwnProperty.call(t,p)&&(l[p]=t[p]);l.originalType=e,l[c]="string"==typeof e?e:a,i[1]=l;for(var u=2;u{r.r(t),r.d(t,{assets:()=>p,contentTitle:()=>i,default:()=>m,frontMatter:()=>o,metadata:()=>l,toc:()=>u});var n=r(7462),a=(r(7294),r(3905));const o={sidebar_label:"Our Team",sidebar_position:4},i="Our Team",l={unversionedId:"introduction/team",id:"introduction/team",title:"Our Team",description:"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.",source:"@site/docs/introduction/team.md",sourceDirName:"introduction",slug:"/introduction/team",permalink:"/compose-docs/introduction/team",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/team.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:4,frontMatter:{sidebar_label:"Our Team",sidebar_position:4},sidebar:"tutorialSidebar",previous:{title:"FAQ",permalink:"/compose-docs/introduction/faq"},next:{title:"Tutorials",permalink:"/compose-docs/tutorial/"}},p={},u=[{value:"Current Members",id:"current-members",level:2}],s={toc:u},c="wrapper";function m(e){let{components:t,...r}=e;return(0,a.kt)(c,(0,n.Z)({},s,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"our-team"},"Our Team"),(0,a.kt)("p",null,"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the ",(0,a.kt)("a",{parentName:"p",href:"http://www.nimh.nih.gov/"},"National Institute of Mental Health")," award 5R01MH096906-06."),(0,a.kt)("h2",{id:"current-members"},"Current Members"),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Alejandro de la Vega")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"James Kent")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Nicholas Lee")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Taylor Salo")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Katie Bottenhorn")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"JB Poline")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Angela Laird")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Russ Poldrack")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Tom Nichols")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Julio Pedraza"))))}m.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6808],{3905:(e,t,r)=>{r.d(t,{Zo:()=>s,kt:()=>f});var n=r(7294);function a(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function i(e){for(var t=1;t=0||(a[r]=e[r]);return a}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(a[r]=e[r])}return a}var p=n.createContext({}),u=function(e){var t=n.useContext(p),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},s=function(e){var t=u(e.components);return n.createElement(p.Provider,{value:t},e.children)},c="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},d=n.forwardRef((function(e,t){var r=e.components,a=e.mdxType,o=e.originalType,p=e.parentName,s=l(e,["components","mdxType","originalType","parentName"]),c=u(r),d=a,f=c["".concat(p,".").concat(d)]||c[d]||m[d]||o;return r?n.createElement(f,i(i({ref:t},s),{},{components:r})):n.createElement(f,i({ref:t},s))}));function f(e,t){var r=arguments,a=t&&t.mdxType;if("string"==typeof e||a){var o=r.length,i=new Array(o);i[0]=d;var l={};for(var p in t)hasOwnProperty.call(t,p)&&(l[p]=t[p]);l.originalType=e,l[c]="string"==typeof e?e:a,i[1]=l;for(var u=2;u{r.r(t),r.d(t,{assets:()=>p,contentTitle:()=>i,default:()=>m,frontMatter:()=>o,metadata:()=>l,toc:()=>u});var n=r(7462),a=(r(7294),r(3905));const o={sidebar_label:"Our Team",sidebar_position:4},i="Our Team",l={unversionedId:"introduction/team",id:"introduction/team",title:"Our Team",description:"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.",source:"@site/docs/introduction/team.md",sourceDirName:"introduction",slug:"/introduction/team",permalink:"/compose-docs/introduction/team",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/team.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:4,frontMatter:{sidebar_label:"Our Team",sidebar_position:4},sidebar:"tutorialSidebar",previous:{title:"FAQ",permalink:"/compose-docs/introduction/faq"},next:{title:"Tutorials",permalink:"/compose-docs/tutorial/"}},p={},u=[{value:"Current Members",id:"current-members",level:2}],s={toc:u},c="wrapper";function m(e){let{components:t,...r}=e;return(0,a.kt)(c,(0,n.Z)({},s,r,{components:t,mdxType:"MDXLayout"}),(0,a.kt)("h1",{id:"our-team"},"Our Team"),(0,a.kt)("p",null,"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the ",(0,a.kt)("a",{parentName:"p",href:"http://www.nimh.nih.gov/"},"National Institute of Mental Health")," award 5R01MH096906-06."),(0,a.kt)("h2",{id:"current-members"},"Current Members"),(0,a.kt)("ul",null,(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Alejandro de la Vega")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"James Kent")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Nicholas Lee")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Taylor Salo")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Katie Bottenhorn")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"JB Poline")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Angela Laird")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Russ Poldrack")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Tom Nichols")),(0,a.kt)("li",{parentName:"ul"},(0,a.kt)("p",{parentName:"li"},"Julio Pedraza"))))}m.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/708a3a2f.139d75a0.js b/assets/js/708a3a2f.20adedf3.js similarity index 98% rename from assets/js/708a3a2f.139d75a0.js rename to assets/js/708a3a2f.20adedf3.js index 6b9f9fc..fa929b0 100644 --- a/assets/js/708a3a2f.139d75a0.js +++ b/assets/js/708a3a2f.20adedf3.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1397],{6048:(e,t,o)=>{o.r(t),o.d(t,{assets:()=>m,contentTitle:()=>d,default:()=>g,frontMatter:()=>u,metadata:()=>l,toc:()=>h});var a=o(7462),r=(o(7294),o(3905)),n=o(6464),s=o(9937),i=o(4267),p=o(8862);const u={sidebar_label:"About Compose!",sidebar_position:1,slug:"/"},d="What is Neurosynth Compose?",l={unversionedId:"introduction/index",id:"introduction/index",title:"What is Neurosynth Compose?",description:"Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.",source:"@site/docs/introduction/index.mdx",sourceDirName:"introduction",slug:"/",permalink:"/compose-docs/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{sidebar_label:"About Compose!",sidebar_position:1,slug:"/"},sidebar:"tutorialSidebar",next:{title:"Ecosystem",permalink:"/compose-docs/introduction/ecosystem"}},m={},h=[{value:"Get started! \ud83d\ude80",id:"get-started-",level:2},{value:"Getting Help",id:"getting-help",level:2}],c={toc:h},y="wrapper";function g(e){let{components:t,...o}=e;return(0,r.kt)(y,(0,a.Z)({},c,o,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"what-is-neurosynth-compose"},"What is Neurosynth Compose?"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required. "),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is ",(0,r.kt)("em",{parentName:"p"},"free to use")," and helps users:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"\ud83d\udd0e ",(0,r.kt)("strong",{parentName:"li"},"Search")," across over 15,000 studies in the Neurosynth database, or import from external databasets such as PubMed."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\uddc3\ufe0f ",(0,r.kt)("strong",{parentName:"li"},"Curate")," your StudySet using systematic review tools conforming to the ",(0,r.kt)("a",{parentName:"li",href:"https://www.prisma-statement.org/"},"PRISMA")," guidelines."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udcdd ",(0,r.kt)("strong",{parentName:"li"},"Extract")," coordinates and metadata for each study, leveraging thousands of pre-extracted studies to minimize effort."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udcca ",(0,r.kt)("strong",{parentName:"li"},"Analyze")," by specfying a reproducible ",(0,r.kt)("a",{parentName:"li",href:"https://readthedocs.org/projects/nimare/"},"NiMARE")," workflow, and execute it locally or in the cloud. "),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udd17 ",(0,r.kt)("strong",{parentName:"li"},"Share")," with the community with complete provenance and reproducibility.")),(0,r.kt)("h2",{id:"get-started-"},"Get started! \ud83d\ude80"),(0,r.kt)("div",{style:{display:"flex"}},(0,r.kt)(s.Z,{style:{width:"100%",display:"flex",marginRight:"50px"},mdxType:"Card"},(0,r.kt)(i.Z,{mdxType:"CardContent"},(0,r.kt)(p.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Tutorials"),(0,r.kt)(p.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},"Tutorials show you how to use Neurosynth Compose with complete end-to-end examples."),(0,r.kt)(n.Z,{variant:"contained",color:"primary",href:"tutorial",mdxType:"Button"},"Go to Tutorials"))),(0,r.kt)(s.Z,{style:{width:"100%",display:"flex"},mdxType:"Card"},(0,r.kt)(i.Z,{mdxType:"CardContent"},(0,r.kt)(p.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"User Guide"),(0,r.kt)(p.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},"The User Guide provides a detailed overview of the platform, and explains key concepts and features."),(0,r.kt)(n.Z,{variant:"contained",color:"primary",href:"guide",mdxType:"Button"},"Go to User Guide")))),(0,r.kt)("h2",{id:"getting-help"},"Getting Help"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Ask a question on ",(0,r.kt)("a",{parentName:"li",href:"https://neurostars.org/tag/neurosynth-compose"},"Neurostars")," using the ",(0,r.kt)("inlineCode",{parentName:"li"},"neurosynth-compose")," tag. "),(0,r.kt)("li",{parentName:"ul"},"Report a bug or request a feature on ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/neurostuff/neurostore/issues"},"GitHub")),(0,r.kt)("li",{parentName:"ul"},"Help us improve the platform by using the feedback button in the bottom right corner of the page.")))}g.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1397],{6048:(e,t,o)=>{o.r(t),o.d(t,{assets:()=>m,contentTitle:()=>d,default:()=>g,frontMatter:()=>u,metadata:()=>l,toc:()=>h});var a=o(7462),r=(o(7294),o(3905)),n=o(6464),s=o(9937),i=o(4267),p=o(8862);const u={sidebar_label:"About Compose!",sidebar_position:1,slug:"/"},d="What is Neurosynth Compose?",l={unversionedId:"introduction/index",id:"introduction/index",title:"What is Neurosynth Compose?",description:"Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.",source:"@site/docs/introduction/index.mdx",sourceDirName:"introduction",slug:"/",permalink:"/compose-docs/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{sidebar_label:"About Compose!",sidebar_position:1,slug:"/"},sidebar:"tutorialSidebar",next:{title:"Ecosystem",permalink:"/compose-docs/introduction/ecosystem"}},m={},h=[{value:"Get started! \ud83d\ude80",id:"get-started-",level:2},{value:"Getting Help",id:"getting-help",level:2}],c={toc:h},y="wrapper";function g(e){let{components:t,...o}=e;return(0,r.kt)(y,(0,a.Z)({},c,o,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"what-is-neurosynth-compose"},"What is Neurosynth Compose?"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required. "),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is ",(0,r.kt)("em",{parentName:"p"},"free to use")," and helps users:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"\ud83d\udd0e ",(0,r.kt)("strong",{parentName:"li"},"Search")," across over 15,000 studies in the Neurosynth database, or import from external databasets such as PubMed."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\uddc3\ufe0f ",(0,r.kt)("strong",{parentName:"li"},"Curate")," your StudySet using systematic review tools conforming to the ",(0,r.kt)("a",{parentName:"li",href:"https://www.prisma-statement.org/"},"PRISMA")," guidelines."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udcdd ",(0,r.kt)("strong",{parentName:"li"},"Extract")," coordinates and metadata for each study, leveraging thousands of pre-extracted studies to minimize effort."),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udcca ",(0,r.kt)("strong",{parentName:"li"},"Analyze")," by specfying a reproducible ",(0,r.kt)("a",{parentName:"li",href:"https://readthedocs.org/projects/nimare/"},"NiMARE")," workflow, and execute it locally or in the cloud. "),(0,r.kt)("li",{parentName:"ul"},"\ud83d\udd17 ",(0,r.kt)("strong",{parentName:"li"},"Share")," with the community with complete provenance and reproducibility.")),(0,r.kt)("h2",{id:"get-started-"},"Get started! \ud83d\ude80"),(0,r.kt)("div",{style:{display:"flex"}},(0,r.kt)(s.Z,{style:{width:"100%",display:"flex",marginRight:"50px"},mdxType:"Card"},(0,r.kt)(i.Z,{mdxType:"CardContent"},(0,r.kt)(p.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Tutorials"),(0,r.kt)(p.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},"Tutorials show you how to use Neurosynth Compose with complete end-to-end examples."),(0,r.kt)(n.Z,{variant:"contained",color:"primary",href:"tutorial",mdxType:"Button"},"Go to Tutorials"))),(0,r.kt)(s.Z,{style:{width:"100%",display:"flex"},mdxType:"Card"},(0,r.kt)(i.Z,{mdxType:"CardContent"},(0,r.kt)(p.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"User Guide"),(0,r.kt)(p.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},"The User Guide provides a detailed overview of the platform, and explains key concepts and features."),(0,r.kt)(n.Z,{variant:"contained",color:"primary",href:"guide",mdxType:"Button"},"Go to User Guide")))),(0,r.kt)("h2",{id:"getting-help"},"Getting Help"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Ask a question on ",(0,r.kt)("a",{parentName:"li",href:"https://neurostars.org/tag/neurosynth-compose"},"Neurostars")," using the ",(0,r.kt)("inlineCode",{parentName:"li"},"neurosynth-compose")," tag. "),(0,r.kt)("li",{parentName:"ul"},"Report a bug or request a feature on ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/neurostuff/neurostore/issues"},"GitHub")),(0,r.kt)("li",{parentName:"ul"},"Help us improve the platform by using the feedback button in the bottom right corner of the page.")))}g.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/8980471f.df19ac68.js b/assets/js/8980471f.8e64713f.js similarity index 98% rename from assets/js/8980471f.df19ac68.js rename to assets/js/8980471f.8e64713f.js index fc7de60..1074ce7 100644 --- a/assets/js/8980471f.df19ac68.js +++ b/assets/js/8980471f.8e64713f.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6983],{3905:(e,t,r)=>{r.d(t,{Zo:()=>l,kt:()=>m});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function c(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var c=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var u=n.createContext({}),p=function(e){var t=n.useContext(u),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},l=function(e){var t=p(e.components);return n.createElement(u.Provider,{value:t},e.children)},s="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,c=e.originalType,u=e.parentName,l=i(e,["components","mdxType","originalType","parentName"]),s=p(r),f=o,m=s["".concat(u,".").concat(f)]||s[f]||d[f]||c;return r?n.createElement(m,a(a({ref:t},l),{},{components:r})):n.createElement(m,a({ref:t},l))}));function m(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var c=r.length,a=new Array(c);a[0]=f;var i={};for(var u in t)hasOwnProperty.call(t,u)&&(i[u]=t[u]);i.originalType=e,i[s]="string"==typeof e?e:o,a[1]=i;for(var p=2;p{r.r(t),r.d(t,{assets:()=>u,contentTitle:()=>a,default:()=>d,frontMatter:()=>c,metadata:()=>i,toc:()=>p});var n=r(7462),o=(r(7294),r(3905));const c={},a=void 0,i={unversionedId:"guide/walkthrough/Project/Specification",id:"guide/walkthrough/Project/Specification",title:"Specification",description:"",source:"@site/docs/guide/walkthrough/Project/Specification.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Specification.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction"},next:{title:"Studies Page",permalink:"/compose-docs/guide/walkthrough/Studies/"}},u={},p=[],l={toc:p},s="wrapper";function d(e){let{components:t,...r}=e;return(0,o.kt)(s,(0,n.Z)({},l,r,{components:t,mdxType:"MDXLayout"}))}d.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6983],{3905:(e,t,r)=>{r.d(t,{Zo:()=>l,kt:()=>m});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function c(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var c=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var u=n.createContext({}),p=function(e){var t=n.useContext(u),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},l=function(e){var t=p(e.components);return n.createElement(u.Provider,{value:t},e.children)},s="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},f=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,c=e.originalType,u=e.parentName,l=i(e,["components","mdxType","originalType","parentName"]),s=p(r),f=o,m=s["".concat(u,".").concat(f)]||s[f]||d[f]||c;return r?n.createElement(m,a(a({ref:t},l),{},{components:r})):n.createElement(m,a({ref:t},l))}));function m(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var c=r.length,a=new Array(c);a[0]=f;var i={};for(var u in t)hasOwnProperty.call(t,u)&&(i[u]=t[u]);i.originalType=e,i[s]="string"==typeof e?e:o,a[1]=i;for(var p=2;p{r.r(t),r.d(t,{assets:()=>u,contentTitle:()=>a,default:()=>d,frontMatter:()=>c,metadata:()=>i,toc:()=>p});var n=r(7462),o=(r(7294),r(3905));const c={},a=void 0,i={unversionedId:"guide/walkthrough/Project/Specification",id:"guide/walkthrough/Project/Specification",title:"Specification",description:"",source:"@site/docs/guide/walkthrough/Project/Specification.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Specification.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction"},next:{title:"Studies Page",permalink:"/compose-docs/guide/walkthrough/Studies/"}},u={},p=[],l={toc:p},s="wrapper";function d(e){let{components:t,...r}=e;return(0,o.kt)(s,(0,n.Z)({},l,r,{components:t,mdxType:"MDXLayout"}))}d.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/935f2afb.c645c64b.js b/assets/js/935f2afb.25116ac0.js similarity index 79% rename from assets/js/935f2afb.c645c64b.js rename to assets/js/935f2afb.25116ac0.js index ad4b0f2..81544ee 100644 --- a/assets/js/935f2afb.c645c64b.js +++ b/assets/js/935f2afb.25116ac0.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[53],{1109:e=>{e.exports=JSON.parse('{"pluginId":"default","version":"current","label":"Next","banner":null,"badge":false,"noIndex":false,"className":"docs-version-current","isLast":true,"docsSidebars":{"tutorialSidebar":[{"type":"category","label":"Introduction","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Ecosystem","href":"/compose-docs/introduction/ecosystem","docId":"introduction/ecosystem"},{"type":"link","label":"FAQ","href":"/compose-docs/introduction/faq","docId":"introduction/faq"},{"type":"link","label":"Our Team","href":"/compose-docs/introduction/team","docId":"introduction/team"}],"href":"/compose-docs/"},{"type":"category","label":"Tutorials","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Manual PRISMA Meta-Analysis","href":"/compose-docs/tutorial/semi-automated","docId":"tutorial/semi-automated"},{"type":"link","label":"Automated Meta-Analysis","href":"/compose-docs/tutorial/large-scale","docId":"tutorial/large-scale"},{"type":"link","label":"Manual Meta-Analysis","href":"/compose-docs/tutorial/manual","docId":"tutorial/manual"}],"href":"/compose-docs/tutorial/"},{"type":"category","label":"User Guide","collapsible":true,"collapsed":true,"items":[{"type":"category","label":"Walkthrough","collapsible":true,"collapsed":true,"items":[{"type":"category","label":"Project","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Curation","href":"/compose-docs/guide/walkthrough/Project/Curation","docId":"guide/walkthrough/Project/Curation"},{"type":"link","label":"Extraction","href":"/compose-docs/guide/walkthrough/Project/Extraction","docId":"guide/walkthrough/Project/Extraction"},{"type":"link","label":"Specification","href":"/compose-docs/guide/walkthrough/Project/Specification","docId":"guide/walkthrough/Project/Specification"}],"href":"/compose-docs/guide/walkthrough/Project/"},{"type":"category","label":"Studies Page","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Searching","href":"/compose-docs/guide/walkthrough/Studies/Searching","docId":"guide/walkthrough/Studies/Searching"}],"href":"/compose-docs/guide/walkthrough/Studies/"},{"type":"link","label":"Studysets Page","href":"/compose-docs/guide/walkthrough/studysets","docId":"guide/walkthrough/studysets"},{"type":"link","label":"Meta-Analyses Page","href":"/compose-docs/guide/walkthrough/meta-analyses","docId":"guide/walkthrough/meta-analyses"},{"type":"link","label":"Searching","href":"/compose-docs/guide/walkthrough/search","docId":"guide/walkthrough/search"}],"href":"/compose-docs/guide/walkthrough/"},{"type":"link","label":"Glossary","href":"/compose-docs/guide/glossary","docId":"guide/glossary"}],"href":"/compose-docs/guide/"}]},"docs":{"guide/glossary":{"id":"guide/glossary","title":"Glossary","description":"This page contains a glossary of terms used in Neurosynth-Compose.","sidebar":"tutorialSidebar"},"guide/index":{"id":"guide/index","title":"User Guide","description":"Overview","sidebar":"tutorialSidebar"},"guide/walkthrough/index":{"id":"guide/walkthrough/index","title":"Walkthrough","description":"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose.","sidebar":"tutorialSidebar"},"guide/walkthrough/meta-analyses":{"id":"guide/walkthrough/meta-analyses","title":"Meta-Analyses Page","description":"a.a","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Curation":{"id":"guide/walkthrough/Project/Curation","title":"Curation","description":"Curation is the first step in creating a meta-analysis, and begins by searching for and importing studies into the project. Next, you will review studies for inclusion based on their relevancy to your research question. This involves excluding irrelevant studies, and including relevant ones.","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Extraction":{"id":"guide/walkthrough/Project/Extraction","title":"Extraction","description":"Extraction is the second step in creating a meta-analysis. It involves taking the","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/index":{"id":"guide/walkthrough/Project/index","title":"Project","description":"A project organizes the the various steps needed to create a meta-analysis from start to finish.","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Specification":{"id":"guide/walkthrough/Project/Specification","title":"Specification","description":"","sidebar":"tutorialSidebar"},"guide/walkthrough/search":{"id":"guide/walkthrough/search","title":"Searching","description":"Searching Studies","sidebar":"tutorialSidebar"},"guide/walkthrough/Studies/index":{"id":"guide/walkthrough/Studies/index","title":"Studies Page","description":"","sidebar":"tutorialSidebar"},"guide/walkthrough/Studies/Searching":{"id":"guide/walkthrough/Studies/Searching","title":"Searching","description":"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies.","sidebar":"tutorialSidebar"},"guide/walkthrough/studysets":{"id":"guide/walkthrough/studysets","title":"Studysets Page","description":"","sidebar":"tutorialSidebar"},"introduction/ecosystem":{"id":"introduction/ecosystem","title":"Ecosystem for fMRI Meta-Analysis","description":"ecosystem","sidebar":"tutorialSidebar"},"introduction/faq":{"id":"introduction/faq","title":"Frequently Asked Questions","description":"* How does this project relate to the original Neurosynth?","sidebar":"tutorialSidebar"},"introduction/index":{"id":"introduction/index","title":"What is Neurosynth Compose?","description":"Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.","sidebar":"tutorialSidebar"},"introduction/team":{"id":"introduction/team","title":"Our Team","description":"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.","sidebar":"tutorialSidebar"},"tutorial/index":{"id":"tutorial/index","title":"Tutorials","description":"Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.","sidebar":"tutorialSidebar"},"tutorial/large-scale":{"id":"tutorial/large-scale","title":"Exporatory automated large-scale meta-analysis","description":"","sidebar":"tutorialSidebar"},"tutorial/manual":{"id":"tutorial/manual","title":"Manual Meta-Analysis","description":"","sidebar":"tutorialSidebar"},"tutorial/semi-automated":{"id":"tutorial/semi-automated","title":"Semi-Automated Meta-Analysis with PRISMA","description":"","sidebar":"tutorialSidebar"}}}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[53],{1109:e=>{e.exports=JSON.parse('{"pluginId":"default","version":"current","label":"Next","banner":null,"badge":false,"noIndex":false,"className":"docs-version-current","isLast":true,"docsSidebars":{"tutorialSidebar":[{"type":"category","label":"Introduction","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Ecosystem","href":"/compose-docs/introduction/ecosystem","docId":"introduction/ecosystem"},{"type":"link","label":"FAQ","href":"/compose-docs/introduction/faq","docId":"introduction/faq"},{"type":"link","label":"Our Team","href":"/compose-docs/introduction/team","docId":"introduction/team"}],"href":"/compose-docs/"},{"type":"category","label":"Tutorials","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Manual PRISMA Meta-Analysis","href":"/compose-docs/tutorial/semi-automated","docId":"tutorial/semi-automated"},{"type":"link","label":"Automated Meta-Analysis","href":"/compose-docs/tutorial/large-scale","docId":"tutorial/large-scale"},{"type":"link","label":"Manual Meta-Analysis","href":"/compose-docs/tutorial/manual","docId":"tutorial/manual"}],"href":"/compose-docs/tutorial/"},{"type":"category","label":"User Guide","collapsible":true,"collapsed":true,"items":[{"type":"category","label":"Walkthrough","collapsible":true,"collapsed":true,"items":[{"type":"category","label":"Project","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Curation","href":"/compose-docs/guide/walkthrough/Project/Curation","docId":"guide/walkthrough/Project/Curation"},{"type":"link","label":"Extraction","href":"/compose-docs/guide/walkthrough/Project/Extraction","docId":"guide/walkthrough/Project/Extraction"},{"type":"link","label":"Specification","href":"/compose-docs/guide/walkthrough/Project/Specification","docId":"guide/walkthrough/Project/Specification"}],"href":"/compose-docs/guide/walkthrough/Project/"},{"type":"category","label":"Studies Page","collapsible":true,"collapsed":true,"items":[{"type":"link","label":"Searching","href":"/compose-docs/guide/walkthrough/Studies/Searching","docId":"guide/walkthrough/Studies/Searching"}],"href":"/compose-docs/guide/walkthrough/Studies/"},{"type":"link","label":"Studysets Page","href":"/compose-docs/guide/walkthrough/studysets","docId":"guide/walkthrough/studysets"},{"type":"link","label":"Meta-Analyses Page","href":"/compose-docs/guide/walkthrough/meta-analyses","docId":"guide/walkthrough/meta-analyses"},{"type":"link","label":"Searching","href":"/compose-docs/guide/walkthrough/search","docId":"guide/walkthrough/search"}],"href":"/compose-docs/guide/walkthrough/"},{"type":"link","label":"Glossary","href":"/compose-docs/guide/glossary","docId":"guide/glossary"}],"href":"/compose-docs/guide/"}]},"docs":{"guide/glossary":{"id":"guide/glossary","title":"Glossary","description":"This page contains a glossary of terms used in Neurosynth-Compose.","sidebar":"tutorialSidebar"},"guide/index":{"id":"guide/index","title":"User Guide","description":"Overview","sidebar":"tutorialSidebar"},"guide/walkthrough/index":{"id":"guide/walkthrough/index","title":"Walkthrough","description":"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose.","sidebar":"tutorialSidebar"},"guide/walkthrough/meta-analyses":{"id":"guide/walkthrough/meta-analyses","title":"Meta-Analyses Page","description":"a.a","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Curation":{"id":"guide/walkthrough/Project/Curation","title":"Curation","description":"Curation is the first step in creating a meta-analysis, and begins by searching for and importing studies into the project. Next, you will review studies for inclusion based on their relevancy to your research question. This involves excluding irrelevant studies, and including relevant ones.","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Extraction":{"id":"guide/walkthrough/Project/Extraction","title":"Extraction","description":"Extraction is the second step in creating a meta-analysis. It involves taking the","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/index":{"id":"guide/walkthrough/Project/index","title":"Project","description":"A project organizes the the various steps needed to create a meta-analysis from start to finish.","sidebar":"tutorialSidebar"},"guide/walkthrough/Project/Specification":{"id":"guide/walkthrough/Project/Specification","title":"Specification","description":"","sidebar":"tutorialSidebar"},"guide/walkthrough/search":{"id":"guide/walkthrough/search","title":"Searching","description":"Searching Studies","sidebar":"tutorialSidebar"},"guide/walkthrough/Studies/index":{"id":"guide/walkthrough/Studies/index","title":"Studies Page","description":"","sidebar":"tutorialSidebar"},"guide/walkthrough/Studies/Searching":{"id":"guide/walkthrough/Studies/Searching","title":"Searching","description":"Neurosynth-Compose works with the neurostore database to provide a convenient and functional interface to search for studies.","sidebar":"tutorialSidebar"},"guide/walkthrough/studysets":{"id":"guide/walkthrough/studysets","title":"Studysets Page","description":"","sidebar":"tutorialSidebar"},"introduction/ecosystem":{"id":"introduction/ecosystem","title":"Ecosystem for fMRI Meta-Analysis","description":"ecosystem","sidebar":"tutorialSidebar"},"introduction/faq":{"id":"introduction/faq","title":"Frequently Asked Questions","description":"* Is this service free to use?","sidebar":"tutorialSidebar"},"introduction/index":{"id":"introduction/index","title":"What is Neurosynth Compose?","description":"Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.","sidebar":"tutorialSidebar"},"introduction/team":{"id":"introduction/team","title":"Our Team","description":"Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.","sidebar":"tutorialSidebar"},"tutorial/index":{"id":"tutorial/index","title":"Tutorials","description":"Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.","sidebar":"tutorialSidebar"},"tutorial/large-scale":{"id":"tutorial/large-scale","title":"Exporatory automated large-scale meta-analysis","description":"","sidebar":"tutorialSidebar"},"tutorial/manual":{"id":"tutorial/manual","title":"Manual Meta-Analysis","description":"","sidebar":"tutorialSidebar"},"tutorial/semi-automated":{"id":"tutorial/semi-automated","title":"Semi-Automated Meta-Analysis with PRISMA","description":"","sidebar":"tutorialSidebar"}}}')}}]); \ No newline at end of file diff --git a/assets/js/a1b719ab.462a7396.js b/assets/js/a1b719ab.e8428aa3.js similarity index 99% rename from assets/js/a1b719ab.462a7396.js rename to assets/js/a1b719ab.e8428aa3.js index ee6c6a4..45998b4 100644 --- a/assets/js/a1b719ab.462a7396.js +++ b/assets/js/a1b719ab.e8428aa3.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[4530],{3905:(e,t,n)=>{n.d(t,{Zo:()=>d,kt:()=>y});var i=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);t&&(i=i.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,i)}return n}function r(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(i=0;i=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=i.createContext({}),u=function(e){var t=i.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):r(r({},t),e)),n},d=function(e){var t=u(e.components);return i.createElement(l.Provider,{value:t},e.children)},c="mdxType",v={inlineCode:"code",wrapper:function(e){var t=e.children;return i.createElement(i.Fragment,{},t)}},p=i.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,d=s(e,["components","mdxType","originalType","parentName"]),c=u(n),p=o,y=c["".concat(l,".").concat(p)]||c[p]||v[p]||a;return n?i.createElement(y,r(r({ref:t},d),{},{components:n})):i.createElement(y,r({ref:t},d))}));function y(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,r=new Array(a);r[0]=p;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[c]="string"==typeof e?e:o,r[1]=s;for(var u=2;u{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>v,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var i=n(7462),o=(n(7294),n(3905));const a={title:"Glossary",sidebar_position:1},r="Glossary",s={unversionedId:"guide/glossary",id:"guide/glossary",title:"Glossary",description:"This page contains a glossary of terms used in Neurosynth-Compose.",source:"@site/docs/guide/glossary.md",sourceDirName:"guide",slug:"/guide/glossary",permalink:"/compose-docs/guide/glossary",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/glossary.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{title:"Glossary",sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/search"}},l={},u=[{value:"Studyset",id:"studyset",level:2},{value:"Overview",id:"overview",level:3},{value:"Functions",id:"functions",level:3},{value:"Annotation",id:"annotation",level:2},{value:"Overview",id:"overview-1",level:3},{value:"Functions",id:"functions-1",level:3},{value:"Study",id:"study",level:2},{value:"Overview",id:"overview-2",level:3},{value:"Functions",id:"functions-2",level:3},{value:"Analysis",id:"analysis",level:2},{value:"Overview",id:"overview-3",level:3},{value:"Condition",id:"condition",level:2},{value:"Overview",id:"overview-4",level:3},{value:"Weights",id:"weights",level:2},{value:"Point",id:"point",level:2},{value:"Overview",id:"overview-5",level:3},{value:"Image",id:"image",level:2}],d={toc:u},c="wrapper";function v(e){let{components:t,...n}=e;return(0,o.kt)(c,(0,i.Z)({},d,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"glossary"},"Glossary"),(0,o.kt)("p",null,"This page contains a glossary of terms used in Neurosynth-Compose."),(0,o.kt)("h2",{id:"studyset"},"Studyset"),(0,o.kt)("h3",{id:"overview"},"Overview"),(0,o.kt)("p",null,"A studyset is a collection of studies and serves as the primary input\nto a meta-analysis."),(0,o.kt)("h3",{id:"functions"},"Functions"),(0,o.kt)("p",null,"If an existing studyset is close to what you want or provides a good starting\npoint, you may clone the studyset.\nFrom there you can add additional studies or remove studies from the studyset.\nIf you would like to change which analyses are included for analysis in the studyset,\nwe recommend you use annotations instead."),(0,o.kt)("h2",{id:"annotation"},"Annotation"),(0,o.kt)("h3",{id:"overview-1"},"Overview"),(0,o.kt)("p",null,"Annotations serve three functions:"),(0,o.kt)("ol",null,(0,o.kt)("li",{parentName:"ol"},"human-readable documentation (for example, following PRISMA)"),(0,o.kt)("li",{parentName:"ol"},"Specifying co-variates to be used in the meta-analysis"),(0,o.kt)("li",{parentName:"ol"},"Filtering Analyses for inclusion in the meta-analysis")),(0,o.kt)("p",null,'Annotations can be thought of like an excel sheet, where\nthe columns are variables serving one of the three functions mentioned above, and the rows are\neach analysis and its value for that variable.\nFor example, let\'s say we were to create an annotation for purpose (3). To filter analyses for inclusion, we can create\nan "include" column may have a corresponding values of "True" or "False"\nfor each analysis indicating whether to include the analysis in the meta-analysis.'),(0,o.kt)("h3",{id:"functions-1"},"Functions"),(0,o.kt)("p",null,"Annotations can also be cloned if you disagree with an existing annotation\nyou do not own and want to edit it."),(0,o.kt)("h2",{id:"study"},"Study"),(0,o.kt)("h3",{id:"overview-2"},"Overview"),(0,o.kt)("p",null,"A study is a publishable unit of research containing neuroimaging\ndata.\nThe data can be represented as peak coordinates or actual images.\nThe study is connected to the original journal it was published in."),(0,o.kt)("h3",{id:"functions-2"},"Functions"),(0,o.kt)("p",null,"Studies can be created, cloned, and edited to accomodate your needs for your meta-analysis"),(0,o.kt)("h2",{id:"analysis"},"Analysis"),(0,o.kt)("h3",{id:"overview-3"},"Overview"),(0,o.kt)("p",null,"An analysis represents a single statistical contrast between any number of groups/conditions.\nThe contents of an analysis include the terms applied to the groups/conditions and their respective\nweights in the contrast.\nAn analysis also contains the results of the statistical contrast either with an image and/or a table\nindicating significant results "),(0,o.kt)("h2",{id:"condition"},"Condition"),(0,o.kt)("h3",{id:"overview-4"},"Overview"),(0,o.kt)("p",null,"A condition is term/word that represents a psychological (e.g., 2-back), physical (e.g., biking)"),(0,o.kt)("h2",{id:"weights"},"Weights"),(0,o.kt)("h2",{id:"point"},"Point"),(0,o.kt)("h3",{id:"overview-5"},"Overview"),(0,o.kt)("h2",{id:"image"},"Image"))}v.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[4530],{3905:(e,t,n)=>{n.d(t,{Zo:()=>d,kt:()=>y});var i=n(7294);function o(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function a(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);t&&(i=i.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,i)}return n}function r(e){for(var t=1;t=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(i=0;i=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}var l=i.createContext({}),u=function(e){var t=i.useContext(l),n=t;return e&&(n="function"==typeof e?e(t):r(r({},t),e)),n},d=function(e){var t=u(e.components);return i.createElement(l.Provider,{value:t},e.children)},c="mdxType",v={inlineCode:"code",wrapper:function(e){var t=e.children;return i.createElement(i.Fragment,{},t)}},p=i.forwardRef((function(e,t){var n=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,d=s(e,["components","mdxType","originalType","parentName"]),c=u(n),p=o,y=c["".concat(l,".").concat(p)]||c[p]||v[p]||a;return n?i.createElement(y,r(r({ref:t},d),{},{components:n})):i.createElement(y,r({ref:t},d))}));function y(e,t){var n=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=n.length,r=new Array(a);r[0]=p;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[c]="string"==typeof e?e:o,r[1]=s;for(var u=2;u{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>v,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var i=n(7462),o=(n(7294),n(3905));const a={title:"Glossary",sidebar_position:1},r="Glossary",s={unversionedId:"guide/glossary",id:"guide/glossary",title:"Glossary",description:"This page contains a glossary of terms used in Neurosynth-Compose.",source:"@site/docs/guide/glossary.md",sourceDirName:"guide",slug:"/guide/glossary",permalink:"/compose-docs/guide/glossary",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/glossary.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:1,frontMatter:{title:"Glossary",sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"Searching",permalink:"/compose-docs/guide/walkthrough/search"}},l={},u=[{value:"Studyset",id:"studyset",level:2},{value:"Overview",id:"overview",level:3},{value:"Functions",id:"functions",level:3},{value:"Annotation",id:"annotation",level:2},{value:"Overview",id:"overview-1",level:3},{value:"Functions",id:"functions-1",level:3},{value:"Study",id:"study",level:2},{value:"Overview",id:"overview-2",level:3},{value:"Functions",id:"functions-2",level:3},{value:"Analysis",id:"analysis",level:2},{value:"Overview",id:"overview-3",level:3},{value:"Condition",id:"condition",level:2},{value:"Overview",id:"overview-4",level:3},{value:"Weights",id:"weights",level:2},{value:"Point",id:"point",level:2},{value:"Overview",id:"overview-5",level:3},{value:"Image",id:"image",level:2}],d={toc:u},c="wrapper";function v(e){let{components:t,...n}=e;return(0,o.kt)(c,(0,i.Z)({},d,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"glossary"},"Glossary"),(0,o.kt)("p",null,"This page contains a glossary of terms used in Neurosynth-Compose."),(0,o.kt)("h2",{id:"studyset"},"Studyset"),(0,o.kt)("h3",{id:"overview"},"Overview"),(0,o.kt)("p",null,"A studyset is a collection of studies and serves as the primary input\nto a meta-analysis."),(0,o.kt)("h3",{id:"functions"},"Functions"),(0,o.kt)("p",null,"If an existing studyset is close to what you want or provides a good starting\npoint, you may clone the studyset.\nFrom there you can add additional studies or remove studies from the studyset.\nIf you would like to change which analyses are included for analysis in the studyset,\nwe recommend you use annotations instead."),(0,o.kt)("h2",{id:"annotation"},"Annotation"),(0,o.kt)("h3",{id:"overview-1"},"Overview"),(0,o.kt)("p",null,"Annotations serve three functions:"),(0,o.kt)("ol",null,(0,o.kt)("li",{parentName:"ol"},"human-readable documentation (for example, following PRISMA)"),(0,o.kt)("li",{parentName:"ol"},"Specifying co-variates to be used in the meta-analysis"),(0,o.kt)("li",{parentName:"ol"},"Filtering Analyses for inclusion in the meta-analysis")),(0,o.kt)("p",null,'Annotations can be thought of like an excel sheet, where\nthe columns are variables serving one of the three functions mentioned above, and the rows are\neach analysis and its value for that variable.\nFor example, let\'s say we were to create an annotation for purpose (3). To filter analyses for inclusion, we can create\nan "include" column may have a corresponding values of "True" or "False"\nfor each analysis indicating whether to include the analysis in the meta-analysis.'),(0,o.kt)("h3",{id:"functions-1"},"Functions"),(0,o.kt)("p",null,"Annotations can also be cloned if you disagree with an existing annotation\nyou do not own and want to edit it."),(0,o.kt)("h2",{id:"study"},"Study"),(0,o.kt)("h3",{id:"overview-2"},"Overview"),(0,o.kt)("p",null,"A study is a publishable unit of research containing neuroimaging\ndata.\nThe data can be represented as peak coordinates or actual images.\nThe study is connected to the original journal it was published in."),(0,o.kt)("h3",{id:"functions-2"},"Functions"),(0,o.kt)("p",null,"Studies can be created, cloned, and edited to accomodate your needs for your meta-analysis"),(0,o.kt)("h2",{id:"analysis"},"Analysis"),(0,o.kt)("h3",{id:"overview-3"},"Overview"),(0,o.kt)("p",null,"An analysis represents a single statistical contrast between any number of groups/conditions.\nThe contents of an analysis include the terms applied to the groups/conditions and their respective\nweights in the contrast.\nAn analysis also contains the results of the statistical contrast either with an image and/or a table\nindicating significant results "),(0,o.kt)("h2",{id:"condition"},"Condition"),(0,o.kt)("h3",{id:"overview-4"},"Overview"),(0,o.kt)("p",null,"A condition is term/word that represents a psychological (e.g., 2-back), physical (e.g., biking)"),(0,o.kt)("h2",{id:"weights"},"Weights"),(0,o.kt)("h2",{id:"point"},"Point"),(0,o.kt)("h3",{id:"overview-5"},"Overview"),(0,o.kt)("h2",{id:"image"},"Image"))}v.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/a7f5a42f.8a37261d.js b/assets/js/a7f5a42f.f983644d.js similarity index 98% rename from assets/js/a7f5a42f.8a37261d.js rename to assets/js/a7f5a42f.f983644d.js index 6dbb9d2..36dc9fb 100644 --- a/assets/js/a7f5a42f.8a37261d.js +++ b/assets/js/a7f5a42f.f983644d.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6154],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=a.createContext({}),c=function(e){var t=a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(l.Provider,{value:t},e.children)},p="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},d=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,l=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),p=c(r),d=n,f=p["".concat(l,".").concat(d)]||p[d]||m[d]||o;return r?a.createElement(f,i(i({ref:t},u),{},{components:r})):a.createElement(f,i({ref:t},u))}));function f(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,i=new Array(o);i[0]=d;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[p]="string"==typeof e?e:n,i[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>m,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={sidebar_label:"Manual PRISMA Meta-Analysis",sidebar_position:2},i="Semi-Automated Meta-Analysis with PRISMA",s={unversionedId:"tutorial/semi-automated",id:"tutorial/semi-automated",title:"Semi-Automated Meta-Analysis with PRISMA",description:"",source:"@site/docs/tutorial/semi-automated.md",sourceDirName:"tutorial",slug:"/tutorial/semi-automated",permalink:"/compose-docs/tutorial/semi-automated",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/semi-automated.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{sidebar_label:"Manual PRISMA Meta-Analysis",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"Tutorials",permalink:"/compose-docs/tutorial/"},next:{title:"Automated Meta-Analysis",permalink:"/compose-docs/tutorial/large-scale"}},l={},c=[],u={toc:c},p="wrapper";function m(e){let{components:t,...r}=e;return(0,n.kt)(p,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"semi-automated-meta-analysis-with-prisma"},"Semi-Automated Meta-Analysis with PRISMA"))}m.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[6154],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=a.createContext({}),c=function(e){var t=a.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(l.Provider,{value:t},e.children)},p="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},d=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,l=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),p=c(r),d=n,f=p["".concat(l,".").concat(d)]||p[d]||m[d]||o;return r?a.createElement(f,i(i({ref:t},u),{},{components:r})):a.createElement(f,i({ref:t},u))}));function f(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,i=new Array(o);i[0]=d;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[p]="string"==typeof e?e:n,i[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>m,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={sidebar_label:"Manual PRISMA Meta-Analysis",sidebar_position:2},i="Semi-Automated Meta-Analysis with PRISMA",s={unversionedId:"tutorial/semi-automated",id:"tutorial/semi-automated",title:"Semi-Automated Meta-Analysis with PRISMA",description:"",source:"@site/docs/tutorial/semi-automated.md",sourceDirName:"tutorial",slug:"/tutorial/semi-automated",permalink:"/compose-docs/tutorial/semi-automated",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/semi-automated.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{sidebar_label:"Manual PRISMA Meta-Analysis",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"Tutorials",permalink:"/compose-docs/tutorial/"},next:{title:"Automated Meta-Analysis",permalink:"/compose-docs/tutorial/large-scale"}},l={},c=[],u={toc:c},p="wrapper";function m(e){let{components:t,...r}=e;return(0,n.kt)(p,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"semi-automated-meta-analysis-with-prisma"},"Semi-Automated Meta-Analysis with PRISMA"))}m.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/b0bf1abf.1695aac6.js b/assets/js/b0bf1abf.53ed01f8.js similarity index 98% rename from assets/js/b0bf1abf.1695aac6.js rename to assets/js/b0bf1abf.53ed01f8.js index bb5cf58..8c1b94b 100644 --- a/assets/js/b0bf1abf.1695aac6.js +++ b/assets/js/b0bf1abf.53ed01f8.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[3078],{3905:(e,t,a)=>{a.d(t,{Zo:()=>p,kt:()=>y});var o=a(7294);function r(e,t,a){return t in e?Object.defineProperty(e,t,{value:a,enumerable:!0,configurable:!0,writable:!0}):e[t]=a,e}function n(e,t){var a=Object.keys(e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);t&&(o=o.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),a.push.apply(a,o)}return a}function s(e){for(var t=1;t=0||(r[a]=e[a]);return r}(e,t);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);for(o=0;o=0||Object.prototype.propertyIsEnumerable.call(e,a)&&(r[a]=e[a])}return r}var l=o.createContext({}),u=function(e){var t=o.useContext(l),a=t;return e&&(a="function"==typeof e?e(t):s(s({},t),e)),a},p=function(e){var t=u(e.components);return o.createElement(l.Provider,{value:t},e.children)},c="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return o.createElement(o.Fragment,{},t)}},d=o.forwardRef((function(e,t){var a=e.components,r=e.mdxType,n=e.originalType,l=e.parentName,p=i(e,["components","mdxType","originalType","parentName"]),c=u(a),d=r,y=c["".concat(l,".").concat(d)]||c[d]||m[d]||n;return a?o.createElement(y,s(s({ref:t},p),{},{components:a})):o.createElement(y,s({ref:t},p))}));function y(e,t){var a=arguments,r=t&&t.mdxType;if("string"==typeof e||r){var n=a.length,s=new Array(n);s[0]=d;var i={};for(var l in t)hasOwnProperty.call(t,l)&&(i[l]=t[l]);i.originalType=e,i[c]="string"==typeof e?e:r,s[1]=i;for(var u=2;u{a.r(t),a.d(t,{assets:()=>l,contentTitle:()=>s,default:()=>m,frontMatter:()=>n,metadata:()=>i,toc:()=>u});var o=a(7462),r=(a(7294),a(3905));const n={sidebar_label:"Ecosystem",sidebar_position:2},s="Ecosystem for fMRI Meta-Analysis",i={unversionedId:"introduction/ecosystem",id:"introduction/ecosystem",title:"Ecosystem for fMRI Meta-Analysis",description:"ecosystem",source:"@site/docs/introduction/ecosystem.md",sourceDirName:"introduction",slug:"/introduction/ecosystem",permalink:"/compose-docs/introduction/ecosystem",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/ecosystem.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{sidebar_label:"Ecosystem",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"About Compose!",permalink:"/compose-docs/"},next:{title:"FAQ",permalink:"/compose-docs/introduction/faq"}},l={},u=[{value:"Neurosynth Compose",id:"neurosynth-compose",level:2},{value:"NeuroStore",id:"neurostore",level:2},{value:"NiMARE",id:"nimare",level:2},{value:"PyMARE",id:"pymare",level:3},{value:"NIMADS",id:"nimads",level:3},{value:"NeuroQuery",id:"neuroquery",level:2},{value:"NeuroVault",id:"neurovault",level:2}],p={toc:u},c="wrapper";function m(e){let{components:t,...n}=e;return(0,r.kt)(c,(0,o.Z)({},p,n,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"ecosystem-for-fmri-meta-analysis"},"Ecosystem for fMRI Meta-Analysis"),(0,r.kt)("p",null,(0,r.kt)("img",{alt:"ecosystem",src:a(6089).Z,title:"Neurosynth Compose Ecosystem",width:"452",height:"500"})),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is part of a broader set of tools for neuroimaging meta-analysis, with complementary roles."),(0,r.kt)("h2",{id:"neurosynth-compose"},"Neurosynth Compose"),(0,r.kt)("p",null,"Neurosynth-Compose is the evolution of the original ",(0,r.kt)("a",{parentName:"p",href:"https://neurosynth.org"},"Neurosynth")," project."),(0,r.kt)("p",null,"In ",(0,r.kt)("em",{parentName:"p"},"Neurosynth 1.0"),", we developed a web platform for users to browse a large set of pre-computed meta-analyses\nsynthesizing findings across 14,000+ fMRI studies. The philosophy was to leverage\nlarge scale meta-analysis to provide new insights into the literature, overcoming limitations of database\nwith sheer scale. With regular updates, Neurosynth was able to keep up with the growth of the literature.\nThe database was released with a permissive license, and accompanied by a Python package to manipulate and analyze it. "),(0,r.kt)("p",null,"Although this approach was surprsingly successful, there were several major limitations to Neurosynth 1.0:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Meta-analyses were limited by ",(0,r.kt)("strong",{parentName:"p"},"concepts that can be inferred from large scale text mining")," (i.e. frequency of terms in the text).\nAlthough these features proved to be surprsingly useful for well-powered and broad cognitive constructs (e.g. 'emotion'), Neurosynth was not able\nto capture the fine-grained details of the neuroimaging literature, or allow users to define their own grouping of studies. ")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"The database is not curated, and therefore contains many ",(0,r.kt)("strong",{parentName:"p"},"inaccuracies and incomplete")," data at both the study and coordinate level.\nAside from obvious extraction erors, automated coordinate extraction lacks the ability to determine critical information, such as whether the activation is positive or negative.\nIn addition, it's not possible to segregate the coordinates into distinct contrast, conditions, or studies without manual curation.")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Coordinate-based analyses are inherently ",(0,r.kt)("strong",{parentName:"p"},"inferior to image-based")," meta-analysis, which is becoming increasingly possible with sharing of unthresholded statisical maps in repositories like ",(0,r.kt)("a",{parentName:"p",href:"https://neurovault.org/"},"NeuroVault"),"."))),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," aims to address these limitations:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Provides a web-based platform for meta-analytic neuroimaging research, allowing users to ",(0,r.kt)("strong",{parentName:"p"},"curate studies"),", and ",(0,r.kt)("strong",{parentName:"p"},"specify meta-analytic models"),". ")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},(0,r.kt)("strong",{parentName:"p"},"Flexible and easy to use"),", allowing users to perform both large-scale ",(0,r.kt)("strong",{parentName:"p"},"exploratory")," meta-analyses, as well as ",(0,r.kt)("strong",{parentName:"p"},"targeted, hypothesis-driven")," meta-analyses that conform to stringent standards such as the ","[PRISMA][https://prisma-statement.org]"," statement.")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Allows users to perfom ",(0,r.kt)("strong",{parentName:"p"},"image-based meta-analysis")," using unthresholded images from NeuroVault (in progress).")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Quick, reproducible and transparent ",(0,r.kt)("strong",{parentName:"p"},"sharing of results"),".")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Incentivizes ",(0,r.kt)("strong",{parentName:"p"},"collaborative curation")," of neuroimaging studies in a accesible ",(0,r.kt)("strong",{parentName:"p"},"centralized repository")," (NeuroStore, see below)."))),(0,r.kt)("h2",{id:"neurostore"},"NeuroStore"),(0,r.kt)("p",null,"NeuroStore is the centralized repository for neuroimaging data amenable to meta-analysis, including coordinates, images, and metadata.\nNeuroStore serves as the data backend for Neurosynth Compose, but is also designed to be a standalone interoperable resource for the neuroimaging community."),(0,r.kt)("p",null,"NeuroStore ingests data from a number of sources, including NeuroVault, NeuroQuery, and Neurosynth (ACE), and provides a unified API for querying the database."),(0,r.kt)("p",null,"Importantly, data on NeuroStore can be ",(0,r.kt)("strong",{parentName:"p"},"curated")," the community, allowing users to correct errors in coordinate extraction, and add new studies and coordinates. By providing a centralized repository for curated neuroimaging data, NeuroStore aims to facilitate the development of new meta-analytic tools, and to provide a common data format for the neuroimaging community."),(0,r.kt)("h2",{id:"nimare"},"NiMARE"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://nimare.readthedocs.io/en/latest/"},"NiMARE")," (Neuroimaging Meta-Analysis Research Environment) is a Python package for performing neuroimaging meta-analysis. "),(0,r.kt)("p",null,"NiMARE is an open source, collaboratively-developed package that implements a range of meta-analytic algorithms, including coordinate- and image-based meta-analyses, automated annotation, functional decoding, and meta-analytic coactivation modeling. "),(0,r.kt)("p",null,"By consolidating meta-analytic methods under a common library and syntax, NiMARE makes it straightforward for users to employ the appropriate approach for a given analysis. "),(0,r.kt)("p",null,"NeuroSynth Compose uses NiMARE to execute meta-analyses, by exporting datasets in the common NIMADS format (see below), and specifying reproducible NiMARE workflows for common meta-analytic models."),(0,r.kt)("h3",{id:"pymare"},"PyMARE"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://pymare.readthedocs.io/en/latest/"},"PyMARE")," is a Python library for effect-size meta-analysis. NiMARE uses PyMARE for its image-based meta-analysis algorithms\n(with some light wrapping to convert image objects to arrays compatible with PyMARE functions)."),(0,r.kt)("h3",{id:"nimads"},"NIMADS"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://github.com/neurostuff/NIMADS"},"NIMADS")," is a new standard for organizing and representing meta-analytic neuroimaging data.\nNIMADS is used as a common, interoperable format by NeuroStore, pyNIMADS, and NiMARE."),(0,r.kt)("h2",{id:"neuroquery"},"NeuroQuery"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://neuroquery.org"},"NeuroQuery")," is a web service, Python library, and coordinate database built for large-scale, predictive meta-analysis.\nPredictive meta-analysis generates non-statistical brain maps from text, using a database of coordinates and associated texts."),(0,r.kt)("p",null,"The ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/neuroquery/neuroquery_data"},"NeuroQuery dataset")," is accurate and maintainble than the existing Neurosynth 1.0 database,\nthis new database will effectively replace the old one within the meta-analytic ecosystem.\nNiMARE can ingest the NeuroQuery database and convert it automatically to a NiMARE Dataset object for analysis.\nAdditionally, the NeuroQuery database will feed directly into NeuroStore as a source of coordinates."),(0,r.kt)("h2",{id:"neurovault"},"NeuroVault"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://neurovault.org/"},"NeuroVault")," is a repository for unthresholded statistical maps from neuroimaging studies."),(0,r.kt)("p",null,"As of early 2023, NeuroVault contains over 8,000 collections of statistical images, with over 100,000 images in total.\nIt is the largest repository of unthresholded statistical maps in the world, and is the primary source of data for image-based meta-analyses using\nNeurosynth Compose."),(0,r.kt)("p",null,"Currently, NeuroVault supports some basic meta-analytic functionality. However, as other tools in this ecosystem are developed,\nit is planned that NeuroVault will focus exclusively on image storage and sharing, and will rely on other tools for meta-analysis."))}m.isMDXComponent=!0},6089:(e,t,a)=>{a.d(t,{Z:()=>o});const o=a.p+"assets/images/compose_ecosystem_paths-f815833d6a398e3ecc658357ab4663b5.svg"}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[3078],{3905:(e,t,a)=>{a.d(t,{Zo:()=>p,kt:()=>y});var o=a(7294);function r(e,t,a){return t in e?Object.defineProperty(e,t,{value:a,enumerable:!0,configurable:!0,writable:!0}):e[t]=a,e}function n(e,t){var a=Object.keys(e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);t&&(o=o.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),a.push.apply(a,o)}return a}function s(e){for(var t=1;t=0||(r[a]=e[a]);return r}(e,t);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);for(o=0;o=0||Object.prototype.propertyIsEnumerable.call(e,a)&&(r[a]=e[a])}return r}var l=o.createContext({}),u=function(e){var t=o.useContext(l),a=t;return e&&(a="function"==typeof e?e(t):s(s({},t),e)),a},p=function(e){var t=u(e.components);return o.createElement(l.Provider,{value:t},e.children)},c="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return o.createElement(o.Fragment,{},t)}},d=o.forwardRef((function(e,t){var a=e.components,r=e.mdxType,n=e.originalType,l=e.parentName,p=i(e,["components","mdxType","originalType","parentName"]),c=u(a),d=r,y=c["".concat(l,".").concat(d)]||c[d]||m[d]||n;return a?o.createElement(y,s(s({ref:t},p),{},{components:a})):o.createElement(y,s({ref:t},p))}));function y(e,t){var a=arguments,r=t&&t.mdxType;if("string"==typeof e||r){var n=a.length,s=new Array(n);s[0]=d;var i={};for(var l in t)hasOwnProperty.call(t,l)&&(i[l]=t[l]);i.originalType=e,i[c]="string"==typeof e?e:r,s[1]=i;for(var u=2;u{a.r(t),a.d(t,{assets:()=>l,contentTitle:()=>s,default:()=>m,frontMatter:()=>n,metadata:()=>i,toc:()=>u});var o=a(7462),r=(a(7294),a(3905));const n={sidebar_label:"Ecosystem",sidebar_position:2},s="Ecosystem for fMRI Meta-Analysis",i={unversionedId:"introduction/ecosystem",id:"introduction/ecosystem",title:"Ecosystem for fMRI Meta-Analysis",description:"ecosystem",source:"@site/docs/introduction/ecosystem.md",sourceDirName:"introduction",slug:"/introduction/ecosystem",permalink:"/compose-docs/introduction/ecosystem",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/introduction/ecosystem.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:2,frontMatter:{sidebar_label:"Ecosystem",sidebar_position:2},sidebar:"tutorialSidebar",previous:{title:"About Compose!",permalink:"/compose-docs/"},next:{title:"FAQ",permalink:"/compose-docs/introduction/faq"}},l={},u=[{value:"Neurosynth Compose",id:"neurosynth-compose",level:2},{value:"NeuroStore",id:"neurostore",level:2},{value:"NiMARE",id:"nimare",level:2},{value:"PyMARE",id:"pymare",level:3},{value:"NIMADS",id:"nimads",level:3},{value:"NeuroQuery",id:"neuroquery",level:2},{value:"NeuroVault",id:"neurovault",level:2}],p={toc:u},c="wrapper";function m(e){let{components:t,...n}=e;return(0,r.kt)(c,(0,o.Z)({},p,n,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"ecosystem-for-fmri-meta-analysis"},"Ecosystem for fMRI Meta-Analysis"),(0,r.kt)("p",null,(0,r.kt)("img",{alt:"ecosystem",src:a(6089).Z,title:"Neurosynth Compose Ecosystem",width:"452",height:"500"})),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," is part of a broader set of tools for neuroimaging meta-analysis, with complementary roles."),(0,r.kt)("h2",{id:"neurosynth-compose"},"Neurosynth Compose"),(0,r.kt)("p",null,"Neurosynth-Compose is the evolution of the original ",(0,r.kt)("a",{parentName:"p",href:"https://neurosynth.org"},"Neurosynth")," project."),(0,r.kt)("p",null,"In ",(0,r.kt)("em",{parentName:"p"},"Neurosynth 1.0"),", we developed a web platform for users to browse a large set of pre-computed meta-analyses\nsynthesizing findings across 14,000+ fMRI studies. The philosophy was to leverage\nlarge scale meta-analysis to provide new insights into the literature, overcoming limitations of database\nwith sheer scale. With regular updates, Neurosynth was able to keep up with the growth of the literature.\nThe database was released with a permissive license, and accompanied by a Python package to manipulate and analyze it. "),(0,r.kt)("p",null,"Although this approach was surprsingly successful, there were several major limitations to Neurosynth 1.0:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Meta-analyses were limited by ",(0,r.kt)("strong",{parentName:"p"},"concepts that can be inferred from large scale text mining")," (i.e. frequency of terms in the text).\nAlthough these features proved to be surprsingly useful for well-powered and broad cognitive constructs (e.g. 'emotion'), Neurosynth was not able\nto capture the fine-grained details of the neuroimaging literature, or allow users to define their own grouping of studies. ")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"The database is not curated, and therefore contains many ",(0,r.kt)("strong",{parentName:"p"},"inaccuracies and incomplete")," data at both the study and coordinate level.\nAside from obvious extraction erors, automated coordinate extraction lacks the ability to determine critical information, such as whether the activation is positive or negative.\nIn addition, it's not possible to segregate the coordinates into distinct contrast, conditions, or studies without manual curation.")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Coordinate-based analyses are inherently ",(0,r.kt)("strong",{parentName:"p"},"inferior to image-based")," meta-analysis, which is becoming increasingly possible with sharing of unthresholded statisical maps in repositories like ",(0,r.kt)("a",{parentName:"p",href:"https://neurovault.org/"},"NeuroVault"),"."))),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Neurosynth Compose")," aims to address these limitations:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Provides a web-based platform for meta-analytic neuroimaging research, allowing users to ",(0,r.kt)("strong",{parentName:"p"},"curate studies"),", and ",(0,r.kt)("strong",{parentName:"p"},"specify meta-analytic models"),". ")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},(0,r.kt)("strong",{parentName:"p"},"Flexible and easy to use"),", allowing users to perform both large-scale ",(0,r.kt)("strong",{parentName:"p"},"exploratory")," meta-analyses, as well as ",(0,r.kt)("strong",{parentName:"p"},"targeted, hypothesis-driven")," meta-analyses that conform to stringent standards such as the ","[PRISMA][https://prisma-statement.org]"," statement.")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Allows users to perfom ",(0,r.kt)("strong",{parentName:"p"},"image-based meta-analysis")," using unthresholded images from NeuroVault (in progress).")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Quick, reproducible and transparent ",(0,r.kt)("strong",{parentName:"p"},"sharing of results"),".")),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("p",{parentName:"li"},"Incentivizes ",(0,r.kt)("strong",{parentName:"p"},"collaborative curation")," of neuroimaging studies in a accesible ",(0,r.kt)("strong",{parentName:"p"},"centralized repository")," (NeuroStore, see below)."))),(0,r.kt)("h2",{id:"neurostore"},"NeuroStore"),(0,r.kt)("p",null,"NeuroStore is the centralized repository for neuroimaging data amenable to meta-analysis, including coordinates, images, and metadata.\nNeuroStore serves as the data backend for Neurosynth Compose, but is also designed to be a standalone interoperable resource for the neuroimaging community."),(0,r.kt)("p",null,"NeuroStore ingests data from a number of sources, including NeuroVault, NeuroQuery, and Neurosynth (ACE), and provides a unified API for querying the database."),(0,r.kt)("p",null,"Importantly, data on NeuroStore can be ",(0,r.kt)("strong",{parentName:"p"},"curated")," the community, allowing users to correct errors in coordinate extraction, and add new studies and coordinates. By providing a centralized repository for curated neuroimaging data, NeuroStore aims to facilitate the development of new meta-analytic tools, and to provide a common data format for the neuroimaging community."),(0,r.kt)("h2",{id:"nimare"},"NiMARE"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://nimare.readthedocs.io/en/latest/"},"NiMARE")," (Neuroimaging Meta-Analysis Research Environment) is a Python package for performing neuroimaging meta-analysis. "),(0,r.kt)("p",null,"NiMARE is an open source, collaboratively-developed package that implements a range of meta-analytic algorithms, including coordinate- and image-based meta-analyses, automated annotation, functional decoding, and meta-analytic coactivation modeling. "),(0,r.kt)("p",null,"By consolidating meta-analytic methods under a common library and syntax, NiMARE makes it straightforward for users to employ the appropriate approach for a given analysis. "),(0,r.kt)("p",null,"NeuroSynth Compose uses NiMARE to execute meta-analyses, by exporting datasets in the common NIMADS format (see below), and specifying reproducible NiMARE workflows for common meta-analytic models."),(0,r.kt)("h3",{id:"pymare"},"PyMARE"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://pymare.readthedocs.io/en/latest/"},"PyMARE")," is a Python library for effect-size meta-analysis. NiMARE uses PyMARE for its image-based meta-analysis algorithms\n(with some light wrapping to convert image objects to arrays compatible with PyMARE functions)."),(0,r.kt)("h3",{id:"nimads"},"NIMADS"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://github.com/neurostuff/NIMADS"},"NIMADS")," is a new standard for organizing and representing meta-analytic neuroimaging data.\nNIMADS is used as a common, interoperable format by NeuroStore, pyNIMADS, and NiMARE."),(0,r.kt)("h2",{id:"neuroquery"},"NeuroQuery"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://neuroquery.org"},"NeuroQuery")," is a web service, Python library, and coordinate database built for large-scale, predictive meta-analysis.\nPredictive meta-analysis generates non-statistical brain maps from text, using a database of coordinates and associated texts."),(0,r.kt)("p",null,"The ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/neuroquery/neuroquery_data"},"NeuroQuery dataset")," is accurate and maintainble than the existing Neurosynth 1.0 database,\nthis new database will effectively replace the old one within the meta-analytic ecosystem.\nNiMARE can ingest the NeuroQuery database and convert it automatically to a NiMARE Dataset object for analysis.\nAdditionally, the NeuroQuery database will feed directly into NeuroStore as a source of coordinates."),(0,r.kt)("h2",{id:"neurovault"},"NeuroVault"),(0,r.kt)("p",null,(0,r.kt)("a",{parentName:"p",href:"https://neurovault.org/"},"NeuroVault")," is a repository for unthresholded statistical maps from neuroimaging studies."),(0,r.kt)("p",null,"As of early 2023, NeuroVault contains over 8,000 collections of statistical images, with over 100,000 images in total.\nIt is the largest repository of unthresholded statistical maps in the world, and is the primary source of data for image-based meta-analyses using\nNeurosynth Compose."),(0,r.kt)("p",null,"Currently, NeuroVault supports some basic meta-analytic functionality. However, as other tools in this ecosystem are developed,\nit is planned that NeuroVault will focus exclusively on image storage and sharing, and will rely on other tools for meta-analysis."))}m.isMDXComponent=!0},6089:(e,t,a)=>{a.d(t,{Z:()=>o});const o=a.p+"assets/images/compose_ecosystem_paths-f815833d6a398e3ecc658357ab4663b5.svg"}}]); \ No newline at end of file diff --git a/assets/js/b3c65406.901d65e9.js b/assets/js/b3c65406.49a54bcf.js similarity index 98% rename from assets/js/b3c65406.901d65e9.js rename to assets/js/b3c65406.49a54bcf.js index d0100c7..ee30e78 100644 --- a/assets/js/b3c65406.901d65e9.js +++ b/assets/js/b3c65406.49a54bcf.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[9482],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function l(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var i=a.createContext({}),c=function(e){var t=a.useContext(i),r=t;return e&&(r="function"==typeof e?e(t):l(l({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(i.Provider,{value:t},e.children)},p="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},m=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,i=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),p=c(r),m=n,f=p["".concat(i,".").concat(m)]||p[m]||d[m]||o;return r?a.createElement(f,l(l({ref:t},u),{},{components:r})):a.createElement(f,l({ref:t},u))}));function f(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,l=new Array(o);l[0]=m;var s={};for(var i in t)hasOwnProperty.call(t,i)&&(s[i]=t[i]);s.originalType=e,s[p]="string"==typeof e?e:n,l[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>i,contentTitle:()=>l,default:()=>d,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={sidebar_label:"Automated Meta-Analysis",sidebar_position:3},l="Exporatory automated large-scale meta-analysis",s={unversionedId:"tutorial/large-scale",id:"tutorial/large-scale",title:"Exporatory automated large-scale meta-analysis",description:"",source:"@site/docs/tutorial/large-scale.md",sourceDirName:"tutorial",slug:"/tutorial/large-scale",permalink:"/compose-docs/tutorial/large-scale",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/large-scale.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:3,frontMatter:{sidebar_label:"Automated Meta-Analysis",sidebar_position:3},sidebar:"tutorialSidebar",previous:{title:"Manual PRISMA Meta-Analysis",permalink:"/compose-docs/tutorial/semi-automated"},next:{title:"Manual Meta-Analysis",permalink:"/compose-docs/tutorial/manual"}},i={},c=[],u={toc:c},p="wrapper";function d(e){let{components:t,...r}=e;return(0,n.kt)(p,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"exporatory-automated-large-scale-meta-analysis"},"Exporatory automated large-scale meta-analysis"))}d.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[9482],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var a=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function o(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);t&&(a=a.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,a)}return r}function l(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var i=a.createContext({}),c=function(e){var t=a.useContext(i),r=t;return e&&(r="function"==typeof e?e(t):l(l({},t),e)),r},u=function(e){var t=c(e.components);return a.createElement(i.Provider,{value:t},e.children)},p="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return a.createElement(a.Fragment,{},t)}},m=a.forwardRef((function(e,t){var r=e.components,n=e.mdxType,o=e.originalType,i=e.parentName,u=s(e,["components","mdxType","originalType","parentName"]),p=c(r),m=n,f=p["".concat(i,".").concat(m)]||p[m]||d[m]||o;return r?a.createElement(f,l(l({ref:t},u),{},{components:r})):a.createElement(f,l({ref:t},u))}));function f(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var o=r.length,l=new Array(o);l[0]=m;var s={};for(var i in t)hasOwnProperty.call(t,i)&&(s[i]=t[i]);s.originalType=e,s[p]="string"==typeof e?e:n,l[1]=s;for(var c=2;c{r.r(t),r.d(t,{assets:()=>i,contentTitle:()=>l,default:()=>d,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var a=r(7462),n=(r(7294),r(3905));const o={sidebar_label:"Automated Meta-Analysis",sidebar_position:3},l="Exporatory automated large-scale meta-analysis",s={unversionedId:"tutorial/large-scale",id:"tutorial/large-scale",title:"Exporatory automated large-scale meta-analysis",description:"",source:"@site/docs/tutorial/large-scale.md",sourceDirName:"tutorial",slug:"/tutorial/large-scale",permalink:"/compose-docs/tutorial/large-scale",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/large-scale.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:3,frontMatter:{sidebar_label:"Automated Meta-Analysis",sidebar_position:3},sidebar:"tutorialSidebar",previous:{title:"Manual PRISMA Meta-Analysis",permalink:"/compose-docs/tutorial/semi-automated"},next:{title:"Manual Meta-Analysis",permalink:"/compose-docs/tutorial/manual"}},i={},c=[],u={toc:c},p="wrapper";function d(e){let{components:t,...r}=e;return(0,n.kt)(p,(0,a.Z)({},u,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"exporatory-automated-large-scale-meta-analysis"},"Exporatory automated large-scale meta-analysis"))}d.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/ba2ed10b.f13c9ad7.js b/assets/js/ba2ed10b.fe4ea0a2.js similarity index 98% rename from assets/js/ba2ed10b.f13c9ad7.js rename to assets/js/ba2ed10b.fe4ea0a2.js index 2bcb72d..f132b01 100644 --- a/assets/js/ba2ed10b.f13c9ad7.js +++ b/assets/js/ba2ed10b.fe4ea0a2.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[8905],{3905:(e,t,r)=>{r.d(t,{Zo:()=>p,kt:()=>m});var o=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);t&&(o=o.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,o)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(o=0;o=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=o.createContext({}),s=function(e){var t=o.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},p=function(e){var t=s(e.components);return o.createElement(l.Provider,{value:t},e.children)},u="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return o.createElement(o.Fragment,{},t)}},f=o.forwardRef((function(e,t){var r=e.components,n=e.mdxType,a=e.originalType,l=e.parentName,p=c(e,["components","mdxType","originalType","parentName"]),u=s(r),f=n,m=u["".concat(l,".").concat(f)]||u[f]||d[f]||a;return r?o.createElement(m,i(i({ref:t},p),{},{components:r})):o.createElement(m,i({ref:t},p))}));function m(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var a=r.length,i=new Array(a);i[0]=f;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[u]="string"==typeof e?e:n,i[1]=c;for(var s=2;s{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>d,frontMatter:()=>a,metadata:()=>c,toc:()=>s});var o=r(7462),n=(r(7294),r(3905));const a={title:"Project",sidebar_position:0},i="Project",c={unversionedId:"guide/walkthrough/Project/index",id:"guide/walkthrough/Project/index",title:"Project",description:"A project organizes the the various steps needed to create a meta-analysis from start to finish.",source:"@site/docs/guide/walkthrough/Project/index.mdx",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/",permalink:"/compose-docs/guide/walkthrough/Project/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Project",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Walkthrough",permalink:"/compose-docs/guide/walkthrough/"},next:{title:"Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation"}},l={},s=[],p={toc:s},u="wrapper";function d(e){let{components:t,...r}=e;return(0,n.kt)(u,(0,o.Z)({},p,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"project"},"Project"),(0,n.kt)("p",null,"A project organizes the the various steps needed to create a meta-analysis from start to finish."),(0,n.kt)("p",null,"Within a project you will be able to:"),(0,n.kt)("ol",null,(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Curation"},"Curate"))," studies of interest and select the ones to be included in the meta-analysis "),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Extraction"},"Extract"))," the relevant data such as activation coordinates and other meta-data"),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Specification"},"Specify"))," the algorithm and corrector you would like to use"),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},"Run")," the meta-analysis and ",(0,n.kt)("strong",{parentName:"li"},"View")," the results")),(0,n.kt)("p",null,"In each project, you can define a define a single StudySe (i.e. a collection of related studies), and one or more MetaAnalysis specifications."),(0,n.kt)("p",null,"You can open a specific project by logging in, navigating to the\n",(0,n.kt)("a",{parentName:"p",href:"https://compose.neurosynth.org/projects"},"My Projects")," page, and selecting a project you've created. "),(0,n.kt)("p",null,'When you view a project for the first time, you\'ll notice that you\'ll default to the "Edit Project" tab.\nThe "View Meta-Analyses" tab will be disabled and will become enabled when you have created the first meta-analysis specification\nfor the project.'))}d.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[8905],{3905:(e,t,r)=>{r.d(t,{Zo:()=>p,kt:()=>m});var o=r(7294);function n(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(e);t&&(o=o.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,o)}return r}function i(e){for(var t=1;t=0||(n[r]=e[r]);return n}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(o=0;o=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(n[r]=e[r])}return n}var l=o.createContext({}),s=function(e){var t=o.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},p=function(e){var t=s(e.components);return o.createElement(l.Provider,{value:t},e.children)},u="mdxType",d={inlineCode:"code",wrapper:function(e){var t=e.children;return o.createElement(o.Fragment,{},t)}},f=o.forwardRef((function(e,t){var r=e.components,n=e.mdxType,a=e.originalType,l=e.parentName,p=c(e,["components","mdxType","originalType","parentName"]),u=s(r),f=n,m=u["".concat(l,".").concat(f)]||u[f]||d[f]||a;return r?o.createElement(m,i(i({ref:t},p),{},{components:r})):o.createElement(m,i({ref:t},p))}));function m(e,t){var r=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var a=r.length,i=new Array(a);i[0]=f;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[u]="string"==typeof e?e:n,i[1]=c;for(var s=2;s{r.r(t),r.d(t,{assets:()=>l,contentTitle:()=>i,default:()=>d,frontMatter:()=>a,metadata:()=>c,toc:()=>s});var o=r(7462),n=(r(7294),r(3905));const a={title:"Project",sidebar_position:0},i="Project",c={unversionedId:"guide/walkthrough/Project/index",id:"guide/walkthrough/Project/index",title:"Project",description:"A project organizes the the various steps needed to create a meta-analysis from start to finish.",source:"@site/docs/guide/walkthrough/Project/index.mdx",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/",permalink:"/compose-docs/guide/walkthrough/Project/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Project",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Walkthrough",permalink:"/compose-docs/guide/walkthrough/"},next:{title:"Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation"}},l={},s=[],p={toc:s},u="wrapper";function d(e){let{components:t,...r}=e;return(0,n.kt)(u,(0,o.Z)({},p,r,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"project"},"Project"),(0,n.kt)("p",null,"A project organizes the the various steps needed to create a meta-analysis from start to finish."),(0,n.kt)("p",null,"Within a project you will be able to:"),(0,n.kt)("ol",null,(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Curation"},"Curate"))," studies of interest and select the ones to be included in the meta-analysis "),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Extraction"},"Extract"))," the relevant data such as activation coordinates and other meta-data"),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},(0,n.kt)("a",{parentName:"strong",href:"./Project/Specification"},"Specify"))," the algorithm and corrector you would like to use"),(0,n.kt)("li",{parentName:"ol"},(0,n.kt)("strong",{parentName:"li"},"Run")," the meta-analysis and ",(0,n.kt)("strong",{parentName:"li"},"View")," the results")),(0,n.kt)("p",null,"In each project, you can define a define a single StudySe (i.e. a collection of related studies), and one or more MetaAnalysis specifications."),(0,n.kt)("p",null,"You can open a specific project by logging in, navigating to the\n",(0,n.kt)("a",{parentName:"p",href:"https://compose.neurosynth.org/projects"},"My Projects")," page, and selecting a project you've created. "),(0,n.kt)("p",null,'When you view a project for the first time, you\'ll notice that you\'ll default to the "Edit Project" tab.\nThe "View Meta-Analyses" tab will be disabled and will become enabled when you have created the first meta-analysis specification\nfor the project.'))}d.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/c1b9c732.11057e91.js b/assets/js/c1b9c732.3d38b869.js similarity index 99% rename from assets/js/c1b9c732.11057e91.js rename to assets/js/c1b9c732.3d38b869.js index 7a09543..87a7dc5 100644 --- a/assets/js/c1b9c732.11057e91.js +++ b/assets/js/c1b9c732.3d38b869.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[657],{3905:(e,t,o)=>{o.d(t,{Zo:()=>d,kt:()=>h});var n=o(7294);function i(e,t,o){return t in e?Object.defineProperty(e,t,{value:o,enumerable:!0,configurable:!0,writable:!0}):e[t]=o,e}function a(e,t){var o=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),o.push.apply(o,n)}return o}function r(e){for(var t=1;t=0||(i[o]=e[o]);return i}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,o)&&(i[o]=e[o])}return i}var l=n.createContext({}),u=function(e){var t=n.useContext(l),o=t;return e&&(o="function"==typeof e?e(t):r(r({},t),e)),o},d=function(e){var t=u(e.components);return n.createElement(l.Provider,{value:t},e.children)},c="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},m=n.forwardRef((function(e,t){var o=e.components,i=e.mdxType,a=e.originalType,l=e.parentName,d=s(e,["components","mdxType","originalType","parentName"]),c=u(o),m=i,h=c["".concat(l,".").concat(m)]||c[m]||p[m]||a;return o?n.createElement(h,r(r({ref:t},d),{},{components:o})):n.createElement(h,r({ref:t},d))}));function h(e,t){var o=arguments,i=t&&t.mdxType;if("string"==typeof e||i){var a=o.length,r=new Array(a);r[0]=m;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[c]="string"==typeof e?e:i,r[1]=s;for(var u=2;u{o.r(t),o.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>p,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var n=o(7462),i=(o(7294),o(3905));const a={title:"Curation",sidebar_position:0},r="Curation",s={unversionedId:"guide/walkthrough/Project/Curation",id:"guide/walkthrough/Project/Curation",title:"Curation",description:"Curation is the first step in creating a meta-analysis, and begins by searching for and importing studies into the project. Next, you will review studies for inclusion based on their relevancy to your research question. This involves excluding irrelevant studies, and including relevant ones.",source:"@site/docs/guide/walkthrough/Project/Curation.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Curation.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Curation",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Project",permalink:"/compose-docs/guide/walkthrough/Project/"},next:{title:"Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction"}},l={},u=[{value:"Getting Started",id:"getting-started",level:2},{value:"PRISMA Workflow",id:"prisma-workflow",level:3},{value:"Simple Workflow",id:"simple-workflow",level:3},{value:"Importing",id:"importing",level:2},{value:"Import from Neurostore",id:"import-from-neurostore",level:3},{value:"Import from PubMed",id:"import-from-pubmed",level:3},{value:"Import from BibTex/RIS/endnote",id:"import-from-bibtexrisendnote",level:3},{value:"Custom Studies",id:"custom-studies",level:3},{value:"Duplicates",id:"duplicates",level:3},{value:"Duplicates are detected between the studies being imported and the studies already in the project",id:"duplicates-are-detected-between-the-studies-being-imported-and-the-studies-already-in-the-project",level:4},{value:"Duplicates are detected within the file you are importing",id:"duplicates-are-detected-within-the-file-you-are-importing",level:4},{value:"Excluding and Promoting Studies",id:"excluding-and-promoting-studies",level:2},{value:"Exclude",id:"exclude",level:3},{value:"Promote",id:"promote",level:3},{value:"On to Extraction",id:"on-to-extraction",level:2}],d={toc:u},c="wrapper";function p(e){let{components:t,...o}=e;return(0,i.kt)(c,(0,n.Z)({},d,o,{components:t,mdxType:"MDXLayout"}),(0,i.kt)("h1",{id:"curation"},"Curation"),(0,i.kt)("p",null,(0,i.kt)("em",{parentName:"p"},"Curation")," is the first step in creating a meta-analysis, and begins by ",(0,i.kt)("em",{parentName:"p"},"searching")," for and ",(0,i.kt)("em",{parentName:"p"},"importing")," studies into the project. Next, you will ",(0,i.kt)("em",{parentName:"p"},"review")," studies for inclusion based on their relevancy to your research question. This involves ",(0,i.kt)("strong",{parentName:"p"},"excluding")," irrelevant studies, and ",(0,i.kt)("strong",{parentName:"p"},"including")," relevant ones. "),(0,i.kt)("p",null,"At the end of the process, you will be ready to create a ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#studyset"},(0,i.kt)("strong",{parentName:"a"},"Studyset"))," of related studies that are amenable for neuroimaging meta-analysis"),(0,i.kt)("h2",{id:"getting-started"},"Getting Started"),(0,i.kt)("p",null,"The curation interface uses columns as a way to label studies based on their current status.\nThe left most column is the starting point and all studies imported into the project will begin there.\nThe right most column is the ",(0,i.kt)("strong",{parentName:"p"},"inclusion column")," and is the place where studies will go to be included in the meta-analysis. "),(0,i.kt)("p",null,'The goal is to get studies from the left most starting column, and narrow them down to a final subset of included studies in the right most column.\nIf a study is not eligible for inclusion at any point, it should be marked as "excluded" before reaching the inclusion column.'),(0,i.kt)("p",null,"The curation step is complete when all studies have been categorized, either by being included or excluded."),(0,i.kt)("p",null,"When you first begin ",(0,i.kt)("em",{parentName:"p"},"Curation"),", you will choose between different workflows, which vary in how rigorous or systematic the selection of studies will be."),(0,i.kt)("admonition",{title:"How specific to be?",type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"Performing a systematic meta-analysis involves a substantial amount of effort. It is up to you, the researcher, how rigorous to be in this process. We reccomend thinking about your ",(0,i.kt)("em",{parentName:"p"},"goals")," prior to starting this process so that you can have clear inclusion guidelines. If you are looking for an exploratory analysis, we reccomend following the tutorial for ",(0,i.kt)("em",{parentName:"p"},"automated meta-analysis"),", which replaces manual curation with an automated selection of studies. Note that automated meta-analyses are not a replacement for a careful systematic meta-analysis.")),(0,i.kt)("h3",{id:"prisma-workflow"},"PRISMA Workflow"),(0,i.kt)("p",null,"PRISMA stands for the ",(0,i.kt)("strong",{parentName:"p"},"Preferred Reporting Items for Systematic Review and Meta-Analyses"),". The\n",(0,i.kt)("a",{parentName:"p",href:"http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1"},"PRISMA guidelines")," are a set of rules for reporting a\nsystematic review, and are the gold standard for producing a proper, rigorous, and transparent meta-analysis."),(0,i.kt)("p",null,"If you are trying to create a rigorous ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/manual"},"manual meta-analysis"),", or if you are trying to create a\n",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/semi-automated"},"PRISMA compliant semi-automated meta-analysis"),", you will want to select this option."),(0,i.kt)("p",null,"When you select this option, neurosynth-compose will automatically initialize the curation step with 4 distinct columns as\ndictated by PRISMA guidelines: ",(0,i.kt)("strong",{parentName:"p"},"Identification, Screening, Eligibility, Included"),"."),(0,i.kt)("p",null,"After importing studies into neurosynth, they will be placed into the identification column and studies are triaged from there."),(0,i.kt)("admonition",{title:"PRISMA Summary",type:"info"},(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Identification")," column is where all imported studies are deposited into initially. As alluded to by the name, the identification\ncolumn is where you identify all records yielded from your search. In this column, you wil exclude studies purely based on whether they are\nduplicates of existing studies. All other studies are promoted."),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Screening")," column consists of all records that have been screened for duplicates. In this column, you want to review the titles/abstracts of studies\nand exclude purely based on whether they are irrelevant to your research question or domain. All other studies are promoted. "),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Eligibility")," column consists of all records that have been screened for duplicates and irrelevant content. In this column, you want to\nreview the full text of studies and exclude based on whether the study described aligns with the standards of the meta-analysis itself. Reasons\nfor exclusion may include wrong setting, wrong patient population, wrong intervention, wrong paragdigm, etc."),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Included")," column consists of all records that have passed previous levels of exclusion and can be considered for the next step of the project."),(0,i.kt)("p",{parentName:"admonition"},"For more information, consult the ",(0,i.kt)("a",{parentName:"p",href:"http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1"},"PRISMA guidelines"),".")),(0,i.kt)("h3",{id:"simple-workflow"},"Simple Workflow"),(0,i.kt)("p",null,"If you want to create a ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/semi-automated"},"semi-automated meta-analysis")," (i.e. perform manual review on a large-scale study search), you'll want to select this option."),(0,i.kt)("p",null,"This workflow is initalized with only two columns. As before, the left most column is where studies will be placed when they are imported. However, unlike a full PRISMA workflow, all exclusion occurs in this column. All studies not excluded are then promoted to the right most column for inclusion into the meta-analysis."),(0,i.kt)("h2",{id:"importing"},"Importing"),(0,i.kt)("p",null,"To begin importing studies into your project clicking the ",(0,i.kt)("strong",{parentName:"p"},"IMPORT STUDIES")," button."),(0,i.kt)("p",null,"You will be asked to choose a source, name your import, and address\nany potential duplicate studies."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"We recommend giving each import a meaningful name. This will be useful when you come back\nand want to know where a certain study was imported from.")),(0,i.kt)("h3",{id:"import-from-neurostore"},"Import from Neurostore"),(0,i.kt)("p",null,"Neurostore indexes a large number of neuroimaging studies which are ready for meta-analysis. Studies in Neurostore have been pre-processed, including extracting peak activation coordinates from Tables in the text, and computing semantic features from the abstract/full text. Neurostore also indexes studies which other users have annotated and made available to others for re-use."),(0,i.kt)("p",null,"Importing from Neurostore utilizes the Study search UI similar to the ",(0,i.kt)("a",{parentName:"p",href:"https://compose.neurosynth.org/studies"},"Study Page"),".\nAfter entering your search, click the bottom right button to import the searched studies into your project."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"Importing from Neurostore can save you a lot of time, as these studies are much more likely to be amenable to meta-analysis, and have pre-extracted coordinates. However, note that some manual annotation may still be required to verify the coordinate extraction, and choose the relevant Analysis (i.e. contrast) for final inclusion.")),(0,i.kt)("h3",{id:"import-from-pubmed"},"Import from PubMed"),(0,i.kt)("p",null,"Use this option to import studies directly from PubMed. To start, you need to go to the ",(0,i.kt)("a",{parentName:"p",href:"https://pubmed.ncbi.nlm.nih.gov/"},"PubMed Site"),"\nand either enter in a search or navigate to a previously created collection. "),(0,i.kt)("p",null,"To import the search or collection from PubMed into neurosynth-compose, you will need a text file containing a list of PMIDs.\nYou can obtain this by going to your collection/search and clicking the ",(0,i.kt)("strong",{parentName:"p"},"Save")," button. Set ",(0,i.kt)("strong",{parentName:"p"},"Selection")," to ",(0,i.kt)("strong",{parentName:"p"},"All results"),"\nand set ",(0,i.kt)("strong",{parentName:"p"},"Format")," to ",(0,i.kt)("strong",{parentName:"p"},"PMID"),". Click ",(0,i.kt)("strong",{parentName:"p"},"Create file")," and your text file containing the PMIDs will be generated and downloaded."),(0,i.kt)("admonition",{type:"caution"},(0,i.kt)("p",{parentName:"admonition"},"Neurosynth-Compose uses the PubMed API to import studies. As a result, the maximum number of PMIDs that can be imported at once is 1,500.\nIf your collection has more than 1,500 PMIDs, split the import into multiple files.")),(0,i.kt)("h3",{id:"import-from-bibtexrisendnote"},"Import from BibTex/RIS/endnote"),(0,i.kt)("p",null,"Use this option to import studies via a .bib, .RIS, or .enw file. This may be useful if you want to import from a citation manager like Zotero."),(0,i.kt)("h3",{id:"custom-studies"},"Custom Studies"),(0,i.kt)("p",null,"If there is any record that cannot be easily imported using one of the methods listed above, you can also manually create a study. This may be necessary\nto include resources like unpublished studies."),(0,i.kt)("h3",{id:"duplicates"},"Duplicates"),(0,i.kt)("p",null,'If duplicates are detected in your import, you will be asked how to re-concile them by choosing which of the studies to keep by choosing "KEEP THIS STUDY". Matching duplicates will be automatically marked for exclusion. Note that as a user, you can over-ride any of these selection at any time, and choose which studies to keep or exclude. '),(0,i.kt)("admonition",{type:"info"},(0,i.kt)("p",{parentName:"admonition"},(0,i.kt)("em",{parentName:"p"},"Neurosynth Compose")," does not delete studies. If a study is marked as a duplicate, it is marked as ",(0,i.kt)("strong",{parentName:"p"},"excluded")," but it is not discarded to ensure complete provenance. ")),(0,i.kt)("p",null,"There are two potential ways that duplicates can occur:"),(0,i.kt)("h4",{id:"duplicates-are-detected-between-the-studies-being-imported-and-the-studies-already-in-the-project"},"Duplicates are detected between the studies being imported and the studies already in the project"),(0,i.kt)("p",null,"If any study being important has the same title, PMID, or DOI is the same as\none already in the project, you will be asked reconcile these duplicates."),(0,i.kt)("p",null,'Note that if you mark a study that is already promoted as a duplicate, it will be "demoted" back to the first column and marked as "duplicate". It is reccomended to mark as duplicate the incoming study to avoid this. '),(0,i.kt)("h4",{id:"duplicates-are-detected-within-the-file-you-are-importing"},"Duplicates are detected within the file you are importing"),(0,i.kt)("p",null,"Although rare, it is possible to have duplicates within a given import. For example, if within a RIS file there are duplicate entries. In this case, you will be asked to select which study to keep. Studies marked as duplicates will still be imported but marked as excluded. "),(0,i.kt)("h2",{id:"excluding-and-promoting-studies"},"Excluding and Promoting Studies"),(0,i.kt)("p",null,"Once studies have been imported into the first column of the curation phase, they need to be reviewed for inclusion into your meta-analysis.\nAll studies must be either excluded or moved to the inclusion column in order to progress to the extraction phase."),(0,i.kt)("p",null,"To begin, either click on the button at the top of the column or click on any study in the column. This will open up a page which will show the study\nalong with the following options: ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE, NEEDS REVIEW"),", and ",(0,i.kt)("strong",{parentName:"p"},"EXCLUDE"),". There is also a button to ",(0,i.kt)("strong",{parentName:"p"},"ADD TAGS")," which will assign an informational tag to the study."),(0,i.kt)("h3",{id:"exclude"},"Exclude"),(0,i.kt)("p",null,"To exclude a study, click the ",(0,i.kt)("strong",{parentName:"p"},"EXCLUDE")," button and select the exclusion reason. You can either choose from the preset exclusion reasons or you can begin\ntyping to create a new one."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"For the PRISMA workflow, the default exclusion reason wil depend on the phase you are in (identification vs screening vs eligibility), to match the PRISMA guidelines. While we do not recommend it, you can click the arrow button and start typing in the input to create a new exclusion reason.\nRevisit the ",(0,i.kt)("a",{parentName:"p",href:"./Curation#prisma-workflow"},"PRISMA workflow")," to review reccomended exclusion criteria.")),(0,i.kt)("h3",{id:"promote"},"Promote"),(0,i.kt)("p",null,"If a study meets inclusion critera (for the current phase), click ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE")," to move the study forward to the next curation column. If it is moved into the right most inclusion column, then it will be included in the meta-analysis."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"For the first column (especially in a PRISMA workflow) it can be tedious to promote non-duplicates to the next column. If all duplicates have been resolved, you can exit the dialog and click ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE ALL UNCATEGORIZED STUDIES")," to advance all non-duplicate studies to the next column.")),(0,i.kt)("h2",{id:"on-to-extraction"},"On to Extraction"),(0,i.kt)("p",null,"When you have categorized all imported studies by either excluding them or moving them to the inclusion column, then you have\nsuccessfully completed the curation portion of the meta-analysis."),(0,i.kt)("p",null,(0,i.kt)("em",{parentName:"p"},"Neurosynth Compose")," will detect this and reveal a new button: ",(0,i.kt)("strong",{parentName:"p"},"MOVE TO EXTRACTION PHASE"),". This will move you back to the project page and get you started on the next major component to building your meta-analysis: ",(0,i.kt)("a",{parentName:"p",href:"./Extraction"},"extraction"),"."))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[657],{3905:(e,t,o)=>{o.d(t,{Zo:()=>d,kt:()=>h});var n=o(7294);function i(e,t,o){return t in e?Object.defineProperty(e,t,{value:o,enumerable:!0,configurable:!0,writable:!0}):e[t]=o,e}function a(e,t){var o=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),o.push.apply(o,n)}return o}function r(e){for(var t=1;t=0||(i[o]=e[o]);return i}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,o)&&(i[o]=e[o])}return i}var l=n.createContext({}),u=function(e){var t=n.useContext(l),o=t;return e&&(o="function"==typeof e?e(t):r(r({},t),e)),o},d=function(e){var t=u(e.components);return n.createElement(l.Provider,{value:t},e.children)},c="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},m=n.forwardRef((function(e,t){var o=e.components,i=e.mdxType,a=e.originalType,l=e.parentName,d=s(e,["components","mdxType","originalType","parentName"]),c=u(o),m=i,h=c["".concat(l,".").concat(m)]||c[m]||p[m]||a;return o?n.createElement(h,r(r({ref:t},d),{},{components:o})):n.createElement(h,r({ref:t},d))}));function h(e,t){var o=arguments,i=t&&t.mdxType;if("string"==typeof e||i){var a=o.length,r=new Array(a);r[0]=m;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[c]="string"==typeof e?e:i,r[1]=s;for(var u=2;u{o.r(t),o.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>p,frontMatter:()=>a,metadata:()=>s,toc:()=>u});var n=o(7462),i=(o(7294),o(3905));const a={title:"Curation",sidebar_position:0},r="Curation",s={unversionedId:"guide/walkthrough/Project/Curation",id:"guide/walkthrough/Project/Curation",title:"Curation",description:"Curation is the first step in creating a meta-analysis, and begins by searching for and importing studies into the project. Next, you will review studies for inclusion based on their relevancy to your research question. This involves excluding irrelevant studies, and including relevant ones.",source:"@site/docs/guide/walkthrough/Project/Curation.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Curation.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Curation",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Project",permalink:"/compose-docs/guide/walkthrough/Project/"},next:{title:"Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction"}},l={},u=[{value:"Getting Started",id:"getting-started",level:2},{value:"PRISMA Workflow",id:"prisma-workflow",level:3},{value:"Simple Workflow",id:"simple-workflow",level:3},{value:"Importing",id:"importing",level:2},{value:"Import from Neurostore",id:"import-from-neurostore",level:3},{value:"Import from PubMed",id:"import-from-pubmed",level:3},{value:"Import from BibTex/RIS/endnote",id:"import-from-bibtexrisendnote",level:3},{value:"Custom Studies",id:"custom-studies",level:3},{value:"Duplicates",id:"duplicates",level:3},{value:"Duplicates are detected between the studies being imported and the studies already in the project",id:"duplicates-are-detected-between-the-studies-being-imported-and-the-studies-already-in-the-project",level:4},{value:"Duplicates are detected within the file you are importing",id:"duplicates-are-detected-within-the-file-you-are-importing",level:4},{value:"Excluding and Promoting Studies",id:"excluding-and-promoting-studies",level:2},{value:"Exclude",id:"exclude",level:3},{value:"Promote",id:"promote",level:3},{value:"On to Extraction",id:"on-to-extraction",level:2}],d={toc:u},c="wrapper";function p(e){let{components:t,...o}=e;return(0,i.kt)(c,(0,n.Z)({},d,o,{components:t,mdxType:"MDXLayout"}),(0,i.kt)("h1",{id:"curation"},"Curation"),(0,i.kt)("p",null,(0,i.kt)("em",{parentName:"p"},"Curation")," is the first step in creating a meta-analysis, and begins by ",(0,i.kt)("em",{parentName:"p"},"searching")," for and ",(0,i.kt)("em",{parentName:"p"},"importing")," studies into the project. Next, you will ",(0,i.kt)("em",{parentName:"p"},"review")," studies for inclusion based on their relevancy to your research question. This involves ",(0,i.kt)("strong",{parentName:"p"},"excluding")," irrelevant studies, and ",(0,i.kt)("strong",{parentName:"p"},"including")," relevant ones. "),(0,i.kt)("p",null,"At the end of the process, you will be ready to create a ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#studyset"},(0,i.kt)("strong",{parentName:"a"},"Studyset"))," of related studies that are amenable for neuroimaging meta-analysis"),(0,i.kt)("h2",{id:"getting-started"},"Getting Started"),(0,i.kt)("p",null,"The curation interface uses columns as a way to label studies based on their current status.\nThe left most column is the starting point and all studies imported into the project will begin there.\nThe right most column is the ",(0,i.kt)("strong",{parentName:"p"},"inclusion column")," and is the place where studies will go to be included in the meta-analysis. "),(0,i.kt)("p",null,'The goal is to get studies from the left most starting column, and narrow them down to a final subset of included studies in the right most column.\nIf a study is not eligible for inclusion at any point, it should be marked as "excluded" before reaching the inclusion column.'),(0,i.kt)("p",null,"The curation step is complete when all studies have been categorized, either by being included or excluded."),(0,i.kt)("p",null,"When you first begin ",(0,i.kt)("em",{parentName:"p"},"Curation"),", you will choose between different workflows, which vary in how rigorous or systematic the selection of studies will be."),(0,i.kt)("admonition",{title:"How specific to be?",type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"Performing a systematic meta-analysis involves a substantial amount of effort. It is up to you, the researcher, how rigorous to be in this process. We reccomend thinking about your ",(0,i.kt)("em",{parentName:"p"},"goals")," prior to starting this process so that you can have clear inclusion guidelines. If you are looking for an exploratory analysis, we reccomend following the tutorial for ",(0,i.kt)("em",{parentName:"p"},"automated meta-analysis"),", which replaces manual curation with an automated selection of studies. Note that automated meta-analyses are not a replacement for a careful systematic meta-analysis.")),(0,i.kt)("h3",{id:"prisma-workflow"},"PRISMA Workflow"),(0,i.kt)("p",null,"PRISMA stands for the ",(0,i.kt)("strong",{parentName:"p"},"Preferred Reporting Items for Systematic Review and Meta-Analyses"),". The\n",(0,i.kt)("a",{parentName:"p",href:"http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1"},"PRISMA guidelines")," are a set of rules for reporting a\nsystematic review, and are the gold standard for producing a proper, rigorous, and transparent meta-analysis."),(0,i.kt)("p",null,"If you are trying to create a rigorous ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/manual"},"manual meta-analysis"),", or if you are trying to create a\n",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/semi-automated"},"PRISMA compliant semi-automated meta-analysis"),", you will want to select this option."),(0,i.kt)("p",null,"When you select this option, neurosynth-compose will automatically initialize the curation step with 4 distinct columns as\ndictated by PRISMA guidelines: ",(0,i.kt)("strong",{parentName:"p"},"Identification, Screening, Eligibility, Included"),"."),(0,i.kt)("p",null,"After importing studies into neurosynth, they will be placed into the identification column and studies are triaged from there."),(0,i.kt)("admonition",{title:"PRISMA Summary",type:"info"},(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Identification")," column is where all imported studies are deposited into initially. As alluded to by the name, the identification\ncolumn is where you identify all records yielded from your search. In this column, you wil exclude studies purely based on whether they are\nduplicates of existing studies. All other studies are promoted."),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Screening")," column consists of all records that have been screened for duplicates. In this column, you want to review the titles/abstracts of studies\nand exclude purely based on whether they are irrelevant to your research question or domain. All other studies are promoted. "),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Eligibility")," column consists of all records that have been screened for duplicates and irrelevant content. In this column, you want to\nreview the full text of studies and exclude based on whether the study described aligns with the standards of the meta-analysis itself. Reasons\nfor exclusion may include wrong setting, wrong patient population, wrong intervention, wrong paragdigm, etc."),(0,i.kt)("p",{parentName:"admonition"},"The ",(0,i.kt)("strong",{parentName:"p"},"Included")," column consists of all records that have passed previous levels of exclusion and can be considered for the next step of the project."),(0,i.kt)("p",{parentName:"admonition"},"For more information, consult the ",(0,i.kt)("a",{parentName:"p",href:"http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1"},"PRISMA guidelines"),".")),(0,i.kt)("h3",{id:"simple-workflow"},"Simple Workflow"),(0,i.kt)("p",null,"If you want to create a ",(0,i.kt)("a",{parentName:"p",href:"/compose-docs/tutorial/semi-automated"},"semi-automated meta-analysis")," (i.e. perform manual review on a large-scale study search), you'll want to select this option."),(0,i.kt)("p",null,"This workflow is initalized with only two columns. As before, the left most column is where studies will be placed when they are imported. However, unlike a full PRISMA workflow, all exclusion occurs in this column. All studies not excluded are then promoted to the right most column for inclusion into the meta-analysis."),(0,i.kt)("h2",{id:"importing"},"Importing"),(0,i.kt)("p",null,"To begin importing studies into your project clicking the ",(0,i.kt)("strong",{parentName:"p"},"IMPORT STUDIES")," button."),(0,i.kt)("p",null,"You will be asked to choose a source, name your import, and address\nany potential duplicate studies."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"We recommend giving each import a meaningful name. This will be useful when you come back\nand want to know where a certain study was imported from.")),(0,i.kt)("h3",{id:"import-from-neurostore"},"Import from Neurostore"),(0,i.kt)("p",null,"Neurostore indexes a large number of neuroimaging studies which are ready for meta-analysis. Studies in Neurostore have been pre-processed, including extracting peak activation coordinates from Tables in the text, and computing semantic features from the abstract/full text. Neurostore also indexes studies which other users have annotated and made available to others for re-use."),(0,i.kt)("p",null,"Importing from Neurostore utilizes the Study search UI similar to the ",(0,i.kt)("a",{parentName:"p",href:"https://compose.neurosynth.org/studies"},"Study Page"),".\nAfter entering your search, click the bottom right button to import the searched studies into your project."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"Importing from Neurostore can save you a lot of time, as these studies are much more likely to be amenable to meta-analysis, and have pre-extracted coordinates. However, note that some manual annotation may still be required to verify the coordinate extraction, and choose the relevant Analysis (i.e. contrast) for final inclusion.")),(0,i.kt)("h3",{id:"import-from-pubmed"},"Import from PubMed"),(0,i.kt)("p",null,"Use this option to import studies directly from PubMed. To start, you need to go to the ",(0,i.kt)("a",{parentName:"p",href:"https://pubmed.ncbi.nlm.nih.gov/"},"PubMed Site"),"\nand either enter in a search or navigate to a previously created collection. "),(0,i.kt)("p",null,"To import the search or collection from PubMed into neurosynth-compose, you will need a text file containing a list of PMIDs.\nYou can obtain this by going to your collection/search and clicking the ",(0,i.kt)("strong",{parentName:"p"},"Save")," button. Set ",(0,i.kt)("strong",{parentName:"p"},"Selection")," to ",(0,i.kt)("strong",{parentName:"p"},"All results"),"\nand set ",(0,i.kt)("strong",{parentName:"p"},"Format")," to ",(0,i.kt)("strong",{parentName:"p"},"PMID"),". Click ",(0,i.kt)("strong",{parentName:"p"},"Create file")," and your text file containing the PMIDs will be generated and downloaded."),(0,i.kt)("admonition",{type:"caution"},(0,i.kt)("p",{parentName:"admonition"},"Neurosynth-Compose uses the PubMed API to import studies. As a result, the maximum number of PMIDs that can be imported at once is 1,500.\nIf your collection has more than 1,500 PMIDs, split the import into multiple files.")),(0,i.kt)("h3",{id:"import-from-bibtexrisendnote"},"Import from BibTex/RIS/endnote"),(0,i.kt)("p",null,"Use this option to import studies via a .bib, .RIS, or .enw file. This may be useful if you want to import from a citation manager like Zotero."),(0,i.kt)("h3",{id:"custom-studies"},"Custom Studies"),(0,i.kt)("p",null,"If there is any record that cannot be easily imported using one of the methods listed above, you can also manually create a study. This may be necessary\nto include resources like unpublished studies."),(0,i.kt)("h3",{id:"duplicates"},"Duplicates"),(0,i.kt)("p",null,'If duplicates are detected in your import, you will be asked how to re-concile them by choosing which of the studies to keep by choosing "KEEP THIS STUDY". Matching duplicates will be automatically marked for exclusion. Note that as a user, you can over-ride any of these selection at any time, and choose which studies to keep or exclude. '),(0,i.kt)("admonition",{type:"info"},(0,i.kt)("p",{parentName:"admonition"},(0,i.kt)("em",{parentName:"p"},"Neurosynth Compose")," does not delete studies. If a study is marked as a duplicate, it is marked as ",(0,i.kt)("strong",{parentName:"p"},"excluded")," but it is not discarded to ensure complete provenance. ")),(0,i.kt)("p",null,"There are two potential ways that duplicates can occur:"),(0,i.kt)("h4",{id:"duplicates-are-detected-between-the-studies-being-imported-and-the-studies-already-in-the-project"},"Duplicates are detected between the studies being imported and the studies already in the project"),(0,i.kt)("p",null,"If any study being important has the same title, PMID, or DOI is the same as\none already in the project, you will be asked reconcile these duplicates."),(0,i.kt)("p",null,'Note that if you mark a study that is already promoted as a duplicate, it will be "demoted" back to the first column and marked as "duplicate". It is reccomended to mark as duplicate the incoming study to avoid this. '),(0,i.kt)("h4",{id:"duplicates-are-detected-within-the-file-you-are-importing"},"Duplicates are detected within the file you are importing"),(0,i.kt)("p",null,"Although rare, it is possible to have duplicates within a given import. For example, if within a RIS file there are duplicate entries. In this case, you will be asked to select which study to keep. Studies marked as duplicates will still be imported but marked as excluded. "),(0,i.kt)("h2",{id:"excluding-and-promoting-studies"},"Excluding and Promoting Studies"),(0,i.kt)("p",null,"Once studies have been imported into the first column of the curation phase, they need to be reviewed for inclusion into your meta-analysis.\nAll studies must be either excluded or moved to the inclusion column in order to progress to the extraction phase."),(0,i.kt)("p",null,"To begin, either click on the button at the top of the column or click on any study in the column. This will open up a page which will show the study\nalong with the following options: ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE, NEEDS REVIEW"),", and ",(0,i.kt)("strong",{parentName:"p"},"EXCLUDE"),". There is also a button to ",(0,i.kt)("strong",{parentName:"p"},"ADD TAGS")," which will assign an informational tag to the study."),(0,i.kt)("h3",{id:"exclude"},"Exclude"),(0,i.kt)("p",null,"To exclude a study, click the ",(0,i.kt)("strong",{parentName:"p"},"EXCLUDE")," button and select the exclusion reason. You can either choose from the preset exclusion reasons or you can begin\ntyping to create a new one."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"For the PRISMA workflow, the default exclusion reason wil depend on the phase you are in (identification vs screening vs eligibility), to match the PRISMA guidelines. While we do not recommend it, you can click the arrow button and start typing in the input to create a new exclusion reason.\nRevisit the ",(0,i.kt)("a",{parentName:"p",href:"./Curation#prisma-workflow"},"PRISMA workflow")," to review reccomended exclusion criteria.")),(0,i.kt)("h3",{id:"promote"},"Promote"),(0,i.kt)("p",null,"If a study meets inclusion critera (for the current phase), click ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE")," to move the study forward to the next curation column. If it is moved into the right most inclusion column, then it will be included in the meta-analysis."),(0,i.kt)("admonition",{type:"tip"},(0,i.kt)("p",{parentName:"admonition"},"For the first column (especially in a PRISMA workflow) it can be tedious to promote non-duplicates to the next column. If all duplicates have been resolved, you can exit the dialog and click ",(0,i.kt)("strong",{parentName:"p"},"PROMOTE ALL UNCATEGORIZED STUDIES")," to advance all non-duplicate studies to the next column.")),(0,i.kt)("h2",{id:"on-to-extraction"},"On to Extraction"),(0,i.kt)("p",null,"When you have categorized all imported studies by either excluding them or moving them to the inclusion column, then you have\nsuccessfully completed the curation portion of the meta-analysis."),(0,i.kt)("p",null,(0,i.kt)("em",{parentName:"p"},"Neurosynth Compose")," will detect this and reveal a new button: ",(0,i.kt)("strong",{parentName:"p"},"MOVE TO EXTRACTION PHASE"),". This will move you back to the project page and get you started on the next major component to building your meta-analysis: ",(0,i.kt)("a",{parentName:"p",href:"./Extraction"},"extraction"),"."))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/c233fbe1.40c88d90.js b/assets/js/c233fbe1.68061d7c.js similarity index 98% rename from assets/js/c233fbe1.40c88d90.js rename to assets/js/c233fbe1.68061d7c.js index 1a2e998..0cc27b3 100644 --- a/assets/js/c233fbe1.40c88d90.js +++ b/assets/js/c233fbe1.68061d7c.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[3605],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function i(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var l=n.createContext({}),s=function(e){var t=n.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},m=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,u=c(e,["components","mdxType","originalType","parentName"]),d=s(r),m=o,f=d["".concat(l,".").concat(m)]||d[m]||p[m]||a;return r?n.createElement(f,i(i({ref:t},u),{},{components:r})):n.createElement(f,i({ref:t},u))}));function f(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=r.length,i=new Array(a);i[0]=m;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[d]="string"==typeof e?e:o,i[1]=c;for(var s=2;s{r.d(t,{Z:()=>g});var n=r(7294),o=r(6010),a=r(2802),i=r(9960),c=r(3919),l=r(5999);const s={cardContainer:"cardContainer_fWXF",cardTitle:"cardTitle_rnsV",cardDescription:"cardDescription_PWke"};function u(e){let{href:t,children:r}=e;return n.createElement(i.Z,{href:t,className:(0,o.Z)("card padding--lg",s.cardContainer)},r)}function d(e){let{href:t,icon:r,title:a,description:i}=e;return n.createElement(u,{href:t},n.createElement("h2",{className:(0,o.Z)("text--truncate",s.cardTitle),title:a},r," ",a),i&&n.createElement("p",{className:(0,o.Z)("text--truncate",s.cardDescription),title:i},i))}function p(e){let{item:t}=e;const r=(0,a.Wl)(t);return r?n.createElement(d,{href:r,icon:"\ud83d\uddc3\ufe0f",title:t.label,description:(0,l.I)({message:"{count} items",id:"theme.docs.DocCard.categoryDescription",description:"The default description for a category card in the generated index about how many items this category includes"},{count:t.items.length})}):null}function m(e){let{item:t}=e;const r=(0,c.Z)(t.href)?"\ud83d\udcc4\ufe0f":"\ud83d\udd17",o=(0,a.xz)(t.docId??void 0);return n.createElement(d,{href:t.href,icon:r,title:t.label,description:o?.description})}function f(e){let{item:t}=e;switch(t.type){case"link":return n.createElement(m,{item:t});case"category":return n.createElement(p,{item:t});default:throw new Error(`unknown item type ${JSON.stringify(t)}`)}}function h(e){let{className:t}=e;const r=(0,a.jA)();return n.createElement(g,{items:r.items,className:t})}function g(e){const{items:t,className:r}=e;if(!t)return n.createElement(h,e);const i=(0,a.MN)(t);return n.createElement("section",{className:(0,o.Z)("row",r)},i.map(((e,t)=>n.createElement("article",{key:t,className:"col col--6 margin-bottom--lg"},n.createElement(f,{item:e})))))}},2903:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>s,contentTitle:()=>c,default:()=>m,frontMatter:()=>i,metadata:()=>l,toc:()=>u});var n=r(7462),o=(r(7294),r(3905)),a=r(2991);const i={title:"Walkthrough",sidebar_position:0},c="Walkthrough",l={unversionedId:"guide/walkthrough/index",id:"guide/walkthrough/index",title:"Walkthrough",description:"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose.",source:"@site/docs/guide/walkthrough/index.mdx",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/",permalink:"/compose-docs/guide/walkthrough/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Walkthrough",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"User Guide",permalink:"/compose-docs/guide/"},next:{title:"Project",permalink:"/compose-docs/guide/walkthrough/Project/"}},s={},u=[],d={toc:u},p="wrapper";function m(e){let{components:t,...r}=e;return(0,o.kt)(p,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"walkthrough"},"Walkthrough"),(0,o.kt)("p",null,"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose."),(0,o.kt)("p",null,"If you're looking for a quickstart, check out our ",(0,o.kt)("a",{parentName:"p",href:"/tutorial"},"Tutorials"),"."),(0,o.kt)(a.Z,{mdxType:"DocCardList"}))}m.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[3605],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function a(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function i(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var l=n.createContext({}),s=function(e){var t=n.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):i(i({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(l.Provider,{value:t},e.children)},d="mdxType",p={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},m=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,a=e.originalType,l=e.parentName,u=c(e,["components","mdxType","originalType","parentName"]),d=s(r),m=o,f=d["".concat(l,".").concat(m)]||d[m]||p[m]||a;return r?n.createElement(f,i(i({ref:t},u),{},{components:r})):n.createElement(f,i({ref:t},u))}));function f(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var a=r.length,i=new Array(a);i[0]=m;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[d]="string"==typeof e?e:o,i[1]=c;for(var s=2;s{r.d(t,{Z:()=>g});var n=r(7294),o=r(6010),a=r(2802),i=r(9960),c=r(3919),l=r(5999);const s={cardContainer:"cardContainer_fWXF",cardTitle:"cardTitle_rnsV",cardDescription:"cardDescription_PWke"};function u(e){let{href:t,children:r}=e;return n.createElement(i.Z,{href:t,className:(0,o.Z)("card padding--lg",s.cardContainer)},r)}function d(e){let{href:t,icon:r,title:a,description:i}=e;return n.createElement(u,{href:t},n.createElement("h2",{className:(0,o.Z)("text--truncate",s.cardTitle),title:a},r," ",a),i&&n.createElement("p",{className:(0,o.Z)("text--truncate",s.cardDescription),title:i},i))}function p(e){let{item:t}=e;const r=(0,a.Wl)(t);return r?n.createElement(d,{href:r,icon:"\ud83d\uddc3\ufe0f",title:t.label,description:(0,l.I)({message:"{count} items",id:"theme.docs.DocCard.categoryDescription",description:"The default description for a category card in the generated index about how many items this category includes"},{count:t.items.length})}):null}function m(e){let{item:t}=e;const r=(0,c.Z)(t.href)?"\ud83d\udcc4\ufe0f":"\ud83d\udd17",o=(0,a.xz)(t.docId??void 0);return n.createElement(d,{href:t.href,icon:r,title:t.label,description:o?.description})}function f(e){let{item:t}=e;switch(t.type){case"link":return n.createElement(m,{item:t});case"category":return n.createElement(p,{item:t});default:throw new Error(`unknown item type ${JSON.stringify(t)}`)}}function h(e){let{className:t}=e;const r=(0,a.jA)();return n.createElement(g,{items:r.items,className:t})}function g(e){const{items:t,className:r}=e;if(!t)return n.createElement(h,e);const i=(0,a.MN)(t);return n.createElement("section",{className:(0,o.Z)("row",r)},i.map(((e,t)=>n.createElement("article",{key:t,className:"col col--6 margin-bottom--lg"},n.createElement(f,{item:e})))))}},2903:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>s,contentTitle:()=>c,default:()=>m,frontMatter:()=>i,metadata:()=>l,toc:()=>u});var n=r(7462),o=(r(7294),r(3905)),a=r(2991);const i={title:"Walkthrough",sidebar_position:0},c="Walkthrough",l={unversionedId:"guide/walkthrough/index",id:"guide/walkthrough/index",title:"Walkthrough",description:"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose.",source:"@site/docs/guide/walkthrough/index.mdx",sourceDirName:"guide/walkthrough",slug:"/guide/walkthrough/",permalink:"/compose-docs/guide/walkthrough/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Walkthrough",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"User Guide",permalink:"/compose-docs/guide/"},next:{title:"Project",permalink:"/compose-docs/guide/walkthrough/Project/"}},s={},u=[],d={toc:u},p="wrapper";function m(e){let{components:t,...r}=e;return(0,o.kt)(p,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"walkthrough"},"Walkthrough"),(0,o.kt)("p",null,"This is a comprehensive walkthrough and reference for each page of Neurosynth Compose."),(0,o.kt)("p",null,"If you're looking for a quickstart, check out our ",(0,o.kt)("a",{parentName:"p",href:"/tutorial"},"Tutorials"),"."),(0,o.kt)(a.Z,{mdxType:"DocCardList"}))}m.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/c2abd45e.86af6caa.js b/assets/js/c2abd45e.29f4c7c0.js similarity index 98% rename from assets/js/c2abd45e.86af6caa.js rename to assets/js/c2abd45e.29f4c7c0.js index b521845..045fa22 100644 --- a/assets/js/c2abd45e.86af6caa.js +++ b/assets/js/c2abd45e.29f4c7c0.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[2309],{473:(t,e,a)=>{a.r(e),a.d(e,{assets:()=>m,contentTitle:()=>d,default:()=>x,frontMatter:()=>u,metadata:()=>p,toc:()=>c});var o=a(7462),l=(a(7294),a(3905)),r=a(9937),n=a(4267),s=a(8862),i=a(3727);const u={},d="Tutorials",p={unversionedId:"tutorial/index",id:"tutorial/index",title:"Tutorials",description:"Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.",source:"@site/docs/tutorial/index.mdx",sourceDirName:"tutorial",slug:"/tutorial/",permalink:"/compose-docs/tutorial/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Our Team",permalink:"/compose-docs/introduction/team"},next:{title:"Manual PRISMA Meta-Analysis",permalink:"/compose-docs/tutorial/semi-automated"}},m={},c=[],y={toc:c},k="wrapper";function x(t){let{components:e,...a}=t;return(0,l.kt)(k,(0,o.Z)({},y,a,{components:e,mdxType:"MDXLayout"}),(0,l.kt)("h1",{id:"tutorials"},"Tutorials"),(0,l.kt)("p",null,"Neurosynth-Compose supports a range of use cases, from a finely controlled ",(0,l.kt)("em",{parentName:"p"},"manual-meta analysis")," to a fully automated ",(0,l.kt)("em",{parentName:"p"},"large-scale meta-analysis"),"."),(0,l.kt)("p",null,"Below is an overview of three uses cases, with links to tutorials for each one. "),(0,l.kt)("div",{style:{display:"flex"}},(0,l.kt)(i.rU,{to:"tutorial/large-scale",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Automated"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Fast exploratory analysis."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Query studies at scale"),(0,l.kt)("li",null,"Search using terms, topics or activation coordinates"),(0,l.kt)("li",null,"Replicate results from original Neurosynth"),(0,l.kt)("li",null,"Immediate results, ideal for a exploratory analysis")))))),(0,l.kt)(i.rU,{to:"tutorial/semi-automated",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Semi-Automated"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Precise and customizable, but faster than manual."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Query NeuroStore to quickly find studies"),(0,l.kt)("li",null,"Curate study inclusion to define concept more precisely"),(0,l.kt)("li",null,"Optional fine-grained selection of analyses/contrasts within each study")))))),(0,l.kt)(i.rU,{to:"tutorial/manual",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Manual"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Most stringent and rigorous."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Search across multiple sources, such as: PubMed, Web of Science, NeuroStore"),(0,l.kt)("li",null,"Careful curation for inclusion/exclusion criteria"),(0,l.kt)("li",null,"Extract coordinates from studies not already indexed"),(0,l.kt)("li",null,"Meets PRISMA guidelines"))))))))}x.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[2309],{473:(t,e,a)=>{a.r(e),a.d(e,{assets:()=>m,contentTitle:()=>d,default:()=>x,frontMatter:()=>u,metadata:()=>p,toc:()=>c});var o=a(7462),l=(a(7294),a(3905)),r=a(9937),n=a(4267),s=a(8862),i=a(3727);const u={},d="Tutorials",p={unversionedId:"tutorial/index",id:"tutorial/index",title:"Tutorials",description:"Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.",source:"@site/docs/tutorial/index.mdx",sourceDirName:"tutorial",slug:"/tutorial/",permalink:"/compose-docs/tutorial/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/tutorial/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Our Team",permalink:"/compose-docs/introduction/team"},next:{title:"Manual PRISMA Meta-Analysis",permalink:"/compose-docs/tutorial/semi-automated"}},m={},c=[],y={toc:c},k="wrapper";function x(t){let{components:e,...a}=t;return(0,l.kt)(k,(0,o.Z)({},y,a,{components:e,mdxType:"MDXLayout"}),(0,l.kt)("h1",{id:"tutorials"},"Tutorials"),(0,l.kt)("p",null,"Neurosynth-Compose supports a range of use cases, from a finely controlled ",(0,l.kt)("em",{parentName:"p"},"manual-meta analysis")," to a fully automated ",(0,l.kt)("em",{parentName:"p"},"large-scale meta-analysis"),"."),(0,l.kt)("p",null,"Below is an overview of three uses cases, with links to tutorials for each one. "),(0,l.kt)("div",{style:{display:"flex"}},(0,l.kt)(i.rU,{to:"tutorial/large-scale",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Automated"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Fast exploratory analysis."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Query studies at scale"),(0,l.kt)("li",null,"Search using terms, topics or activation coordinates"),(0,l.kt)("li",null,"Replicate results from original Neurosynth"),(0,l.kt)("li",null,"Immediate results, ideal for a exploratory analysis")))))),(0,l.kt)(i.rU,{to:"tutorial/semi-automated",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Semi-Automated"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Precise and customizable, but faster than manual."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Query NeuroStore to quickly find studies"),(0,l.kt)("li",null,"Curate study inclusion to define concept more precisely"),(0,l.kt)("li",null,"Optional fine-grained selection of analyses/contrasts within each study")))))),(0,l.kt)(i.rU,{to:"tutorial/manual",style:{textDecoration:"none"},style:{width:"100%",display:"flex",marginRight:"30px",cursor:"pointer"},mdxType:"Link"},(0,l.kt)(r.Z,{style:{borderRadius:"8px"},mdxType:"Card"},(0,l.kt)(n.Z,{mdxType:"CardContent"},(0,l.kt)(s.Z,{variant:"h5",component:"h2",gutterBottom:!0,mdxType:"Typography"},"Manual"),(0,l.kt)(s.Z,{variant:"body1",gutterBottom:!0,mdxType:"Typography"},(0,l.kt)("em",null,"Most stringent and rigorous."),(0,l.kt)("br",null),(0,l.kt)("br",null),(0,l.kt)("ul",null,(0,l.kt)("li",null,"Search across multiple sources, such as: PubMed, Web of Science, NeuroStore"),(0,l.kt)("li",null,"Careful curation for inclusion/exclusion criteria"),(0,l.kt)("li",null,"Extract coordinates from studies not already indexed"),(0,l.kt)("li",null,"Meets PRISMA guidelines"))))))))}x.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/c4a0799b.42ade09d.js b/assets/js/c4a0799b.8fe8bae7.js similarity index 98% rename from assets/js/c4a0799b.42ade09d.js rename to assets/js/c4a0799b.8fe8bae7.js index 88c976b..5ea4a8d 100644 --- a/assets/js/c4a0799b.42ade09d.js +++ b/assets/js/c4a0799b.8fe8bae7.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1010],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var l=n.createContext({}),s=function(e){var t=n.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(l.Provider,{value:t},e.children)},d="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},p=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,i=e.originalType,l=e.parentName,u=c(e,["components","mdxType","originalType","parentName"]),d=s(r),p=o,f=d["".concat(l,".").concat(p)]||d[p]||m[p]||i;return r?n.createElement(f,a(a({ref:t},u),{},{components:r})):n.createElement(f,a({ref:t},u))}));function f(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var i=r.length,a=new Array(i);a[0]=p;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[d]="string"==typeof e?e:o,a[1]=c;for(var s=2;s{r.d(t,{Z:()=>g});var n=r(7294),o=r(6010),i=r(2802),a=r(9960),c=r(3919),l=r(5999);const s={cardContainer:"cardContainer_fWXF",cardTitle:"cardTitle_rnsV",cardDescription:"cardDescription_PWke"};function u(e){let{href:t,children:r}=e;return n.createElement(a.Z,{href:t,className:(0,o.Z)("card padding--lg",s.cardContainer)},r)}function d(e){let{href:t,icon:r,title:i,description:a}=e;return n.createElement(u,{href:t},n.createElement("h2",{className:(0,o.Z)("text--truncate",s.cardTitle),title:i},r," ",i),a&&n.createElement("p",{className:(0,o.Z)("text--truncate",s.cardDescription),title:a},a))}function m(e){let{item:t}=e;const r=(0,i.Wl)(t);return r?n.createElement(d,{href:r,icon:"\ud83d\uddc3\ufe0f",title:t.label,description:(0,l.I)({message:"{count} items",id:"theme.docs.DocCard.categoryDescription",description:"The default description for a category card in the generated index about how many items this category includes"},{count:t.items.length})}):null}function p(e){let{item:t}=e;const r=(0,c.Z)(t.href)?"\ud83d\udcc4\ufe0f":"\ud83d\udd17",o=(0,i.xz)(t.docId??void 0);return n.createElement(d,{href:t.href,icon:r,title:t.label,description:o?.description})}function f(e){let{item:t}=e;switch(t.type){case"link":return n.createElement(p,{item:t});case"category":return n.createElement(m,{item:t});default:throw new Error(`unknown item type ${JSON.stringify(t)}`)}}function y(e){let{className:t}=e;const r=(0,i.jA)();return n.createElement(g,{items:r.items,className:t})}function g(e){const{items:t,className:r}=e;if(!t)return n.createElement(y,e);const a=(0,i.MN)(t);return n.createElement("section",{className:(0,o.Z)("row",r)},a.map(((e,t)=>n.createElement("article",{key:t,className:"col col--6 margin-bottom--lg"},n.createElement(f,{item:e})))))}},9126:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>s,contentTitle:()=>c,default:()=>p,frontMatter:()=>a,metadata:()=>l,toc:()=>u});var n=r(7462),o=(r(7294),r(3905)),i=r(2991);const a={},c="User Guide",l={unversionedId:"guide/index",id:"guide/index",title:"User Guide",description:"Overview",source:"@site/docs/guide/index.mdx",sourceDirName:"guide",slug:"/guide/",permalink:"/compose-docs/guide/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Manual Meta-Analysis",permalink:"/compose-docs/tutorial/manual"},next:{title:"Walkthrough",permalink:"/compose-docs/guide/walkthrough/"}},s={},u=[{value:"Overview",id:"overview",level:3}],d={toc:u},m="wrapper";function p(e){let{components:t,...r}=e;return(0,o.kt)(m,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"user-guide"},"User Guide"),(0,o.kt)("h3",{id:"overview"},"Overview"),(0,o.kt)("p",null,"The user guide contains a comprehensive overview of the platform and definitions of keywords related to neurosynth-compose."),(0,o.kt)(i.Z,{mdxType:"DocCardList"}))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[1010],{3905:(e,t,r)=>{r.d(t,{Zo:()=>u,kt:()=>f});var n=r(7294);function o(e,t,r){return t in e?Object.defineProperty(e,t,{value:r,enumerable:!0,configurable:!0,writable:!0}):e[t]=r,e}function i(e,t){var r=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),r.push.apply(r,n)}return r}function a(e){for(var t=1;t=0||(o[r]=e[r]);return o}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,r)&&(o[r]=e[r])}return o}var l=n.createContext({}),s=function(e){var t=n.useContext(l),r=t;return e&&(r="function"==typeof e?e(t):a(a({},t),e)),r},u=function(e){var t=s(e.components);return n.createElement(l.Provider,{value:t},e.children)},d="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},p=n.forwardRef((function(e,t){var r=e.components,o=e.mdxType,i=e.originalType,l=e.parentName,u=c(e,["components","mdxType","originalType","parentName"]),d=s(r),p=o,f=d["".concat(l,".").concat(p)]||d[p]||m[p]||i;return r?n.createElement(f,a(a({ref:t},u),{},{components:r})):n.createElement(f,a({ref:t},u))}));function f(e,t){var r=arguments,o=t&&t.mdxType;if("string"==typeof e||o){var i=r.length,a=new Array(i);a[0]=p;var c={};for(var l in t)hasOwnProperty.call(t,l)&&(c[l]=t[l]);c.originalType=e,c[d]="string"==typeof e?e:o,a[1]=c;for(var s=2;s{r.d(t,{Z:()=>g});var n=r(7294),o=r(6010),i=r(2802),a=r(9960),c=r(3919),l=r(5999);const s={cardContainer:"cardContainer_fWXF",cardTitle:"cardTitle_rnsV",cardDescription:"cardDescription_PWke"};function u(e){let{href:t,children:r}=e;return n.createElement(a.Z,{href:t,className:(0,o.Z)("card padding--lg",s.cardContainer)},r)}function d(e){let{href:t,icon:r,title:i,description:a}=e;return n.createElement(u,{href:t},n.createElement("h2",{className:(0,o.Z)("text--truncate",s.cardTitle),title:i},r," ",i),a&&n.createElement("p",{className:(0,o.Z)("text--truncate",s.cardDescription),title:a},a))}function m(e){let{item:t}=e;const r=(0,i.Wl)(t);return r?n.createElement(d,{href:r,icon:"\ud83d\uddc3\ufe0f",title:t.label,description:(0,l.I)({message:"{count} items",id:"theme.docs.DocCard.categoryDescription",description:"The default description for a category card in the generated index about how many items this category includes"},{count:t.items.length})}):null}function p(e){let{item:t}=e;const r=(0,c.Z)(t.href)?"\ud83d\udcc4\ufe0f":"\ud83d\udd17",o=(0,i.xz)(t.docId??void 0);return n.createElement(d,{href:t.href,icon:r,title:t.label,description:o?.description})}function f(e){let{item:t}=e;switch(t.type){case"link":return n.createElement(p,{item:t});case"category":return n.createElement(m,{item:t});default:throw new Error(`unknown item type ${JSON.stringify(t)}`)}}function y(e){let{className:t}=e;const r=(0,i.jA)();return n.createElement(g,{items:r.items,className:t})}function g(e){const{items:t,className:r}=e;if(!t)return n.createElement(y,e);const a=(0,i.MN)(t);return n.createElement("section",{className:(0,o.Z)("row",r)},a.map(((e,t)=>n.createElement("article",{key:t,className:"col col--6 margin-bottom--lg"},n.createElement(f,{item:e})))))}},9126:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>s,contentTitle:()=>c,default:()=>p,frontMatter:()=>a,metadata:()=>l,toc:()=>u});var n=r(7462),o=(r(7294),r(3905)),i=r(2991);const a={},c="User Guide",l={unversionedId:"guide/index",id:"guide/index",title:"User Guide",description:"Overview",source:"@site/docs/guide/index.mdx",sourceDirName:"guide",slug:"/guide/",permalink:"/compose-docs/guide/",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/index.mdx",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",frontMatter:{},sidebar:"tutorialSidebar",previous:{title:"Manual Meta-Analysis",permalink:"/compose-docs/tutorial/manual"},next:{title:"Walkthrough",permalink:"/compose-docs/guide/walkthrough/"}},s={},u=[{value:"Overview",id:"overview",level:3}],d={toc:u},m="wrapper";function p(e){let{components:t,...r}=e;return(0,o.kt)(m,(0,n.Z)({},d,r,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"user-guide"},"User Guide"),(0,o.kt)("h3",{id:"overview"},"Overview"),(0,o.kt)("p",null,"The user guide contains a comprehensive overview of the platform and definitions of keywords related to neurosynth-compose."),(0,o.kt)(i.Z,{mdxType:"DocCardList"}))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/fee01693.2b33a435.js b/assets/js/fee01693.7513a069.js similarity index 99% rename from assets/js/fee01693.2b33a435.js rename to assets/js/fee01693.7513a069.js index 3c1dc2a..4abbf74 100644 --- a/assets/js/fee01693.2b33a435.js +++ b/assets/js/fee01693.7513a069.js @@ -1 +1 @@ -"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[8150],{3905:(t,e,n)=>{n.d(e,{Zo:()=>u,kt:()=>g});var a=n(7294);function r(t,e,n){return e in t?Object.defineProperty(t,e,{value:n,enumerable:!0,configurable:!0,writable:!0}):t[e]=n,t}function o(t,e){var n=Object.keys(t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(t);e&&(a=a.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),n.push.apply(n,a)}return n}function i(t){for(var e=1;e=0||(r[n]=t[n]);return r}(t,e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(t);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(t,n)&&(r[n]=t[n])}return r}var c=a.createContext({}),d=function(t){var e=a.useContext(c),n=e;return t&&(n="function"==typeof t?t(e):i(i({},e),t)),n},u=function(t){var e=d(t.components);return a.createElement(c.Provider,{value:e},t.children)},l="mdxType",p={inlineCode:"code",wrapper:function(t){var e=t.children;return a.createElement(a.Fragment,{},e)}},h=a.forwardRef((function(t,e){var n=t.components,r=t.mdxType,o=t.originalType,c=t.parentName,u=s(t,["components","mdxType","originalType","parentName"]),l=d(n),h=r,g=l["".concat(c,".").concat(h)]||l[h]||p[h]||o;return n?a.createElement(g,i(i({ref:e},u),{},{components:n})):a.createElement(g,i({ref:e},u))}));function g(t,e){var n=arguments,r=e&&e.mdxType;if("string"==typeof t||r){var o=n.length,i=new Array(o);i[0]=h;var s={};for(var c in e)hasOwnProperty.call(e,c)&&(s[c]=e[c]);s.originalType=t,s[l]="string"==typeof t?t:r,i[1]=s;for(var d=2;d{n.r(e),n.d(e,{assets:()=>c,contentTitle:()=>i,default:()=>p,frontMatter:()=>o,metadata:()=>s,toc:()=>d});var a=n(7462),r=(n(7294),n(3905));const o={title:"Extraction",sidebar_position:0},i="Extraction",s={unversionedId:"guide/walkthrough/Project/Extraction",id:"guide/walkthrough/Project/Extraction",title:"Extraction",description:"Extraction is the second step in creating a meta-analysis. It involves taking the",source:"@site/docs/guide/walkthrough/Project/Extraction.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Extraction.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695076999,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Extraction",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation"},next:{title:"Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification"}},c={},d=[{value:"Getting Started",id:"getting-started",level:2},{value:"Ingestion",id:"ingestion",level:2},{value:"Annotations",id:"annotations",level:2},{value:"Study Editing",id:"study-editing",level:2},{value:"Read Only Studies",id:"read-only-studies",level:3},{value:"Study Annotations",id:"study-annotations",level:3},{value:"Study Edit Interface",id:"study-edit-interface",level:3},{value:"Syncing Between Curation and Extraction",id:"syncing-between-curation-and-extraction",level:2}],u={toc:d},l="wrapper";function p(t){let{components:e,...n}=t;return(0,r.kt)(l,(0,a.Z)({},u,n,{components:e,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"extraction"},"Extraction"),(0,r.kt)("p",null,"Extraction is the second step in creating a meta-analysis. It involves taking the\nnew ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#studyset"},(0,r.kt)("strong",{parentName:"a"},"Studyset"))," creates in the curation step and extracting relevant information from studies, such as ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#annotation"},(0,r.kt)("strong",{parentName:"a"},"annotations")),",\nand peak activation coordinates, or ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#point"},(0,r.kt)("strong",{parentName:"a"},"points")),"."),(0,r.kt)("h2",{id:"getting-started"},"Getting Started"),(0,r.kt)("p",null,"After the curation phase is complete, the user is redirected to the extraction phase. You can also access the Extraction phase through the main project page. "),(0,r.kt)("p",null,"Here, the extraction phase starts when\na wizard that pops up and guides the user through the process of initializing the extraction phase. On top of creating the\ninitial ",(0,r.kt)("a",{parentName:"p",href:"./Extraction#annotations"},(0,r.kt)("strong",{parentName:"a"},"annotation columns")),", this wizard also guides the user through the\nprocess of ",(0,r.kt)("a",{parentName:"p",href:"./Extraction#ingestion"},(0,r.kt)("strong",{parentName:"a"},"ingestion")," ")," of the curated studies to create a new ",(0,r.kt)("a",{parentName:"p",href:"../../glossary#studyset"},(0,r.kt)("strong",{parentName:"a"},"studyset")),"."),(0,r.kt)("h2",{id:"ingestion"},"Ingestion"),(0,r.kt)("p",null,"Ingestion describes the process of taking the studies from the curation phase and inserting them into the database one by one. "),(0,r.kt)("p",null,"For each study, neurosynth-compose searches the neurostore database and checks to see if a matching study exists. If a match\ndoes not exist, then a new study is created and the user must go to the paper to fill out the relevant details.\nIf one or more matches are found, the user has the option of either ignoring the existing options and creating a new study anyway, or selecting\none of the existing matches."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},"Selecting an existing study is recommended as opposed to creating a new study from scratch. By selecting an existing neurostore study, you\nare leveraging neurostore's automatic extraction. As the coordinates have already been extracted for you, this will save you a lot of time and effort\nduring the extraction process.")," "),(0,r.kt)("admonition",{title:"Why ingestion?",type:"info"},(0,r.kt)("p",{parentName:"admonition"},"During the curation phase, studies are actually not inserted into the database. A vast majority of the studies that\nare imported into the curation phase are excluded during the curation process. Inserting these studies into the database would clutter\nit and create a lot of empty entries which don't have coordinates and might not even be used. By waiting until we have our finalized\nincluded subset of studies, we reduce the number of empty, useless studies in the database.")),(0,r.kt)("h2",{id:"annotations"},"Annotations"),(0,r.kt)("h2",{id:"study-editing"},"Study Editing"),(0,r.kt)("p",null,"Studies in the extraction phase are filtered and categorized to help better organize and facilitate the process. Initially, all studies\nstart as ",(0,r.kt)("strong",{parentName:"p"},"Uncategorized"),". The user can then decide to mark them as ",(0,r.kt)("strong",{parentName:"p"},"Save For Later")," if they want to revisit the study, or ",(0,r.kt)("strong",{parentName:"p"},"Completed"),"."),(0,r.kt)("h3",{id:"read-only-studies"},"Read Only Studies"),(0,r.kt)("h3",{id:"study-annotations"},"Study Annotations"),(0,r.kt)("h3",{id:"study-edit-interface"},"Study Edit Interface"),(0,r.kt)("h2",{id:"syncing-between-curation-and-extraction"},"Syncing Between Curation and Extraction"))}p.isMDXComponent=!0}}]); \ No newline at end of file +"use strict";(self.webpackChunkns_compose_docs=self.webpackChunkns_compose_docs||[]).push([[8150],{3905:(t,e,n)=>{n.d(e,{Zo:()=>u,kt:()=>g});var a=n(7294);function r(t,e,n){return e in t?Object.defineProperty(t,e,{value:n,enumerable:!0,configurable:!0,writable:!0}):t[e]=n,t}function o(t,e){var n=Object.keys(t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(t);e&&(a=a.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),n.push.apply(n,a)}return n}function i(t){for(var e=1;e=0||(r[n]=t[n]);return r}(t,e);if(Object.getOwnPropertySymbols){var o=Object.getOwnPropertySymbols(t);for(a=0;a=0||Object.prototype.propertyIsEnumerable.call(t,n)&&(r[n]=t[n])}return r}var c=a.createContext({}),d=function(t){var e=a.useContext(c),n=e;return t&&(n="function"==typeof t?t(e):i(i({},e),t)),n},u=function(t){var e=d(t.components);return a.createElement(c.Provider,{value:e},t.children)},l="mdxType",p={inlineCode:"code",wrapper:function(t){var e=t.children;return a.createElement(a.Fragment,{},e)}},h=a.forwardRef((function(t,e){var n=t.components,r=t.mdxType,o=t.originalType,c=t.parentName,u=s(t,["components","mdxType","originalType","parentName"]),l=d(n),h=r,g=l["".concat(c,".").concat(h)]||l[h]||p[h]||o;return n?a.createElement(g,i(i({ref:e},u),{},{components:n})):a.createElement(g,i({ref:e},u))}));function g(t,e){var n=arguments,r=e&&e.mdxType;if("string"==typeof t||r){var o=n.length,i=new Array(o);i[0]=h;var s={};for(var c in e)hasOwnProperty.call(e,c)&&(s[c]=e[c]);s.originalType=t,s[l]="string"==typeof t?t:r,i[1]=s;for(var d=2;d{n.r(e),n.d(e,{assets:()=>c,contentTitle:()=>i,default:()=>p,frontMatter:()=>o,metadata:()=>s,toc:()=>d});var a=n(7462),r=(n(7294),n(3905));const o={title:"Extraction",sidebar_position:0},i="Extraction",s={unversionedId:"guide/walkthrough/Project/Extraction",id:"guide/walkthrough/Project/Extraction",title:"Extraction",description:"Extraction is the second step in creating a meta-analysis. It involves taking the",source:"@site/docs/guide/walkthrough/Project/Extraction.md",sourceDirName:"guide/walkthrough/Project",slug:"/guide/walkthrough/Project/Extraction",permalink:"/compose-docs/guide/walkthrough/Project/Extraction",draft:!1,editUrl:"https://github.com/neurostuff/compose-docs/edit/master/docs/guide/walkthrough/Project/Extraction.md",tags:[],version:"current",lastUpdatedBy:"Alejandro de la Vega",lastUpdatedAt:1695078075,formattedLastUpdatedAt:"Sep 18, 2023",sidebarPosition:0,frontMatter:{title:"Extraction",sidebar_position:0},sidebar:"tutorialSidebar",previous:{title:"Curation",permalink:"/compose-docs/guide/walkthrough/Project/Curation"},next:{title:"Specification",permalink:"/compose-docs/guide/walkthrough/Project/Specification"}},c={},d=[{value:"Getting Started",id:"getting-started",level:2},{value:"Ingestion",id:"ingestion",level:2},{value:"Annotations",id:"annotations",level:2},{value:"Study Editing",id:"study-editing",level:2},{value:"Read Only Studies",id:"read-only-studies",level:3},{value:"Study Annotations",id:"study-annotations",level:3},{value:"Study Edit Interface",id:"study-edit-interface",level:3},{value:"Syncing Between Curation and Extraction",id:"syncing-between-curation-and-extraction",level:2}],u={toc:d},l="wrapper";function p(t){let{components:e,...n}=t;return(0,r.kt)(l,(0,a.Z)({},u,n,{components:e,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"extraction"},"Extraction"),(0,r.kt)("p",null,"Extraction is the second step in creating a meta-analysis. It involves taking the\nnew ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#studyset"},(0,r.kt)("strong",{parentName:"a"},"Studyset"))," creates in the curation step and extracting relevant information from studies, such as ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#annotation"},(0,r.kt)("strong",{parentName:"a"},"annotations")),",\nand peak activation coordinates, or ",(0,r.kt)("a",{parentName:"p",href:"/compose-docs/guide/glossary#point"},(0,r.kt)("strong",{parentName:"a"},"points")),"."),(0,r.kt)("h2",{id:"getting-started"},"Getting Started"),(0,r.kt)("p",null,"After the curation phase is complete, the user is redirected to the extraction phase. You can also access the Extraction phase through the main project page. "),(0,r.kt)("p",null,"Here, the extraction phase starts when\na wizard that pops up and guides the user through the process of initializing the extraction phase. On top of creating the\ninitial ",(0,r.kt)("a",{parentName:"p",href:"./Extraction#annotations"},(0,r.kt)("strong",{parentName:"a"},"annotation columns")),", this wizard also guides the user through the\nprocess of ",(0,r.kt)("a",{parentName:"p",href:"./Extraction#ingestion"},(0,r.kt)("strong",{parentName:"a"},"ingestion")," ")," of the curated studies to create a new ",(0,r.kt)("a",{parentName:"p",href:"../../glossary#studyset"},(0,r.kt)("strong",{parentName:"a"},"studyset")),"."),(0,r.kt)("h2",{id:"ingestion"},"Ingestion"),(0,r.kt)("p",null,"Ingestion describes the process of taking the studies from the curation phase and inserting them into the database one by one. "),(0,r.kt)("p",null,"For each study, neurosynth-compose searches the neurostore database and checks to see if a matching study exists. If a match\ndoes not exist, then a new study is created and the user must go to the paper to fill out the relevant details.\nIf one or more matches are found, the user has the option of either ignoring the existing options and creating a new study anyway, or selecting\none of the existing matches."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},"Selecting an existing study is recommended as opposed to creating a new study from scratch. By selecting an existing neurostore study, you\nare leveraging neurostore's automatic extraction. As the coordinates have already been extracted for you, this will save you a lot of time and effort\nduring the extraction process.")," "),(0,r.kt)("admonition",{title:"Why ingestion?",type:"info"},(0,r.kt)("p",{parentName:"admonition"},"During the curation phase, studies are actually not inserted into the database. A vast majority of the studies that\nare imported into the curation phase are excluded during the curation process. Inserting these studies into the database would clutter\nit and create a lot of empty entries which don't have coordinates and might not even be used. By waiting until we have our finalized\nincluded subset of studies, we reduce the number of empty, useless studies in the database.")),(0,r.kt)("h2",{id:"annotations"},"Annotations"),(0,r.kt)("h2",{id:"study-editing"},"Study Editing"),(0,r.kt)("p",null,"Studies in the extraction phase are filtered and categorized to help better organize and facilitate the process. Initially, all studies\nstart as ",(0,r.kt)("strong",{parentName:"p"},"Uncategorized"),". The user can then decide to mark them as ",(0,r.kt)("strong",{parentName:"p"},"Save For Later")," if they want to revisit the study, or ",(0,r.kt)("strong",{parentName:"p"},"Completed"),"."),(0,r.kt)("h3",{id:"read-only-studies"},"Read Only Studies"),(0,r.kt)("h3",{id:"study-annotations"},"Study Annotations"),(0,r.kt)("h3",{id:"study-edit-interface"},"Study Edit Interface"),(0,r.kt)("h2",{id:"syncing-between-curation-and-extraction"},"Syncing Between Curation and Extraction"))}p.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/assets/js/runtime~main.7697a614.js b/assets/js/runtime~main.7634ca1d.js similarity index 52% rename from assets/js/runtime~main.7697a614.js rename to assets/js/runtime~main.7634ca1d.js index 603948e..466e5e6 100644 --- a/assets/js/runtime~main.7697a614.js +++ b/assets/js/runtime~main.7634ca1d.js @@ -1 +1 @@ -(()=>{"use strict";var e,a,t,r,c,f={},b={};function o(e){var a=b[e];if(void 0!==a)return a.exports;var t=b[e]={id:e,loaded:!1,exports:{}};return f[e].call(t.exports,t,t.exports,o),t.loaded=!0,t.exports}o.m=f,o.c=b,e=[],o.O=(a,t,r,c)=>{if(!t){var f=1/0;for(i=0;i=c)&&Object.keys(o.O).every((e=>o.O[e](t[d])))?t.splice(d--,1):(b=!1,c0&&e[i-1][2]>c;i--)e[i]=e[i-1];e[i]=[t,r,c]},o.n=e=>{var a=e&&e.__esModule?()=>e.default:()=>e;return o.d(a,{a:a}),a},t=Object.getPrototypeOf?e=>Object.getPrototypeOf(e):e=>e.__proto__,o.t=function(e,r){if(1&r&&(e=this(e)),8&r)return e;if("object"==typeof e&&e){if(4&r&&e.__esModule)return e;if(16&r&&"function"==typeof e.then)return e}var c=Object.create(null);o.r(c);var f={};a=a||[null,t({}),t([]),t(t)];for(var b=2&r&&e;"object"==typeof b&&!~a.indexOf(b);b=t(b))Object.getOwnPropertyNames(b).forEach((a=>f[a]=()=>e[a]));return f.default=()=>e,o.d(c,f),c},o.d=(e,a)=>{for(var t in a)o.o(a,t)&&!o.o(e,t)&&Object.defineProperty(e,t,{enumerable:!0,get:a[t]})},o.f={},o.e=e=>Promise.all(Object.keys(o.f).reduce(((a,t)=>(o.f[t](e,a),a)),[])),o.u=e=>"assets/js/"+({53:"935f2afb",657:"c1b9c732",687:"07712b78",1010:"c4a0799b",1397:"708a3a2f",1746:"161535df",2309:"c2abd45e",2535:"814f3328",2544:"73114bfe",2550:"74a1c914",3078:"b0bf1abf",3085:"1f391b9e",3089:"a6aa9e1f",3480:"75dc470f",3544:"d4ab88d4",3555:"ffb62be8",3605:"c233fbe1",3608:"9e4087bc",4013:"01a85c17",4530:"a1b719ab",4602:"bbe80a6e",4845:"12cf9d53",5477:"0e4b1b59",5730:"1e47983f",5868:"2a3ffa35",5947:"0b7454c3",6103:"ccc49370",6154:"a7f5a42f",6808:"5d9fd5dd",6965:"6f393b9a",6983:"8980471f",7068:"2367c334",7337:"4d6f289c",7414:"393be207",7681:"181c334a",7918:"17896441",7929:"6b032824",7999:"4d19d8bc",8150:"fee01693",8610:"6875c492",8905:"ba2ed10b",9482:"b3c65406",9514:"1be78505"}[e]||e)+"."+{53:"c645c64b",210:"21bed4ea",657:"11057e91",687:"e0099331",1010:"42ade09d",1397:"139d75a0",1746:"c3b07de5",2309:"86af6caa",2529:"55a47439",2535:"baba6c32",2544:"062dc4ee",2550:"152b6cb5",3078:"1695aac6",3085:"b39c80e0",3089:"99b96258",3480:"a3a64cf8",3544:"571c950f",3555:"c964fee2",3605:"40c88d90",3608:"3ca3246f",4013:"626b6758",4530:"462a7396",4602:"dac5f9f3",4845:"528c0657",4972:"a007b754",5477:"724e5677",5730:"7ac3a877",5868:"d0a733f0",5947:"706582d7",6103:"d5e9862c",6154:"8a37261d",6464:"01d52c80",6808:"e9dc9102",6965:"2ce685f8",6983:"df19ac68",6989:"1ab506d2",7068:"15786447",7337:"52da9a2e",7414:"6feae840",7681:"746b430d",7918:"73b94cb8",7929:"b323f8d3",7999:"13f8bd5a",8150:"2b33a435",8610:"de49da7a",8905:"f13c9ad7",9482:"901d65e9",9514:"7f955038"}[e]+".js",o.miniCssF=e=>{},o.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),o.o=(e,a)=>Object.prototype.hasOwnProperty.call(e,a),r={},c="ns-compose-docs:",o.l=(e,a,t,f)=>{if(r[e])r[e].push(a);else{var b,d;if(void 0!==t)for(var n=document.getElementsByTagName("script"),i=0;i{b.onerror=b.onload=null,clearTimeout(l);var c=r[e];if(delete r[e],b.parentNode&&b.parentNode.removeChild(b),c&&c.forEach((e=>e(t))),a)return a(t)},l=setTimeout(u.bind(null,void 0,{type:"timeout",target:b}),12e4);b.onerror=u.bind(null,b.onerror),b.onload=u.bind(null,b.onload),d&&document.head.appendChild(b)}},o.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},o.p="/compose-docs/",o.gca=function(e){return e={17896441:"7918","935f2afb":"53",c1b9c732:"657","07712b78":"687",c4a0799b:"1010","708a3a2f":"1397","161535df":"1746",c2abd45e:"2309","814f3328":"2535","73114bfe":"2544","74a1c914":"2550",b0bf1abf:"3078","1f391b9e":"3085",a6aa9e1f:"3089","75dc470f":"3480",d4ab88d4:"3544",ffb62be8:"3555",c233fbe1:"3605","9e4087bc":"3608","01a85c17":"4013",a1b719ab:"4530",bbe80a6e:"4602","12cf9d53":"4845","0e4b1b59":"5477","1e47983f":"5730","2a3ffa35":"5868","0b7454c3":"5947",ccc49370:"6103",a7f5a42f:"6154","5d9fd5dd":"6808","6f393b9a":"6965","8980471f":"6983","2367c334":"7068","4d6f289c":"7337","393be207":"7414","181c334a":"7681","6b032824":"7929","4d19d8bc":"7999",fee01693:"8150","6875c492":"8610",ba2ed10b:"8905",b3c65406:"9482","1be78505":"9514"}[e]||e,o.p+o.u(e)},(()=>{var e={1303:0,532:0};o.f.j=(a,t)=>{var r=o.o(e,a)?e[a]:void 0;if(0!==r)if(r)t.push(r[2]);else if(/^(1303|532)$/.test(a))e[a]=0;else{var c=new Promise(((t,c)=>r=e[a]=[t,c]));t.push(r[2]=c);var f=o.p+o.u(a),b=new Error;o.l(f,(t=>{if(o.o(e,a)&&(0!==(r=e[a])&&(e[a]=void 0),r)){var c=t&&("load"===t.type?"missing":t.type),f=t&&t.target&&t.target.src;b.message="Loading chunk "+a+" failed.\n("+c+": "+f+")",b.name="ChunkLoadError",b.type=c,b.request=f,r[1](b)}}),"chunk-"+a,a)}},o.O.j=a=>0===e[a];var a=(a,t)=>{var r,c,f=t[0],b=t[1],d=t[2],n=0;if(f.some((a=>0!==e[a]))){for(r in b)o.o(b,r)&&(o.m[r]=b[r]);if(d)var i=d(o)}for(a&&a(t);n{"use strict";var e,a,t,c,r,f={},b={};function o(e){var a=b[e];if(void 0!==a)return a.exports;var t=b[e]={id:e,loaded:!1,exports:{}};return f[e].call(t.exports,t,t.exports,o),t.loaded=!0,t.exports}o.m=f,o.c=b,e=[],o.O=(a,t,c,r)=>{if(!t){var f=1/0;for(i=0;i=r)&&Object.keys(o.O).every((e=>o.O[e](t[d])))?t.splice(d--,1):(b=!1,r0&&e[i-1][2]>r;i--)e[i]=e[i-1];e[i]=[t,c,r]},o.n=e=>{var a=e&&e.__esModule?()=>e.default:()=>e;return o.d(a,{a:a}),a},t=Object.getPrototypeOf?e=>Object.getPrototypeOf(e):e=>e.__proto__,o.t=function(e,c){if(1&c&&(e=this(e)),8&c)return e;if("object"==typeof e&&e){if(4&c&&e.__esModule)return e;if(16&c&&"function"==typeof e.then)return e}var r=Object.create(null);o.r(r);var f={};a=a||[null,t({}),t([]),t(t)];for(var b=2&c&&e;"object"==typeof b&&!~a.indexOf(b);b=t(b))Object.getOwnPropertyNames(b).forEach((a=>f[a]=()=>e[a]));return f.default=()=>e,o.d(r,f),r},o.d=(e,a)=>{for(var t in a)o.o(a,t)&&!o.o(e,t)&&Object.defineProperty(e,t,{enumerable:!0,get:a[t]})},o.f={},o.e=e=>Promise.all(Object.keys(o.f).reduce(((a,t)=>(o.f[t](e,a),a)),[])),o.u=e=>"assets/js/"+({53:"935f2afb",657:"c1b9c732",687:"07712b78",1010:"c4a0799b",1397:"708a3a2f",1746:"161535df",2309:"c2abd45e",2535:"814f3328",2544:"73114bfe",2550:"74a1c914",3078:"b0bf1abf",3085:"1f391b9e",3089:"a6aa9e1f",3480:"75dc470f",3544:"d4ab88d4",3555:"ffb62be8",3605:"c233fbe1",3608:"9e4087bc",4013:"01a85c17",4530:"a1b719ab",4602:"bbe80a6e",4845:"12cf9d53",5477:"0e4b1b59",5730:"1e47983f",5868:"2a3ffa35",5947:"0b7454c3",6103:"ccc49370",6154:"a7f5a42f",6808:"5d9fd5dd",6965:"6f393b9a",6983:"8980471f",7068:"2367c334",7337:"4d6f289c",7414:"393be207",7681:"181c334a",7918:"17896441",7929:"6b032824",7999:"4d19d8bc",8150:"fee01693",8610:"6875c492",8905:"ba2ed10b",9482:"b3c65406",9514:"1be78505"}[e]||e)+"."+{53:"25116ac0",210:"21bed4ea",657:"3d38b869",687:"e0099331",1010:"8fe8bae7",1397:"20adedf3",1746:"2640b8e9",2309:"29f4c7c0",2529:"55a47439",2535:"baba6c32",2544:"062dc4ee",2550:"152b6cb5",3078:"53ed01f8",3085:"b39c80e0",3089:"99b96258",3480:"a3a64cf8",3544:"571c950f",3555:"c964fee2",3605:"68061d7c",3608:"3ca3246f",4013:"626b6758",4530:"e8428aa3",4602:"dac5f9f3",4845:"72eaf3f1",4972:"a007b754",5477:"7dd3dcb6",5730:"ece56db9",5868:"d0a733f0",5947:"706582d7",6103:"d5e9862c",6154:"f983644d",6464:"01d52c80",6808:"c58e3718",6965:"2ce685f8",6983:"8e64713f",6989:"1ab506d2",7068:"07986431",7337:"ca508f52",7414:"6feae840",7681:"746b430d",7918:"73b94cb8",7929:"b323f8d3",7999:"aa6d56b6",8150:"7513a069",8610:"de49da7a",8905:"fe4ea0a2",9482:"49a54bcf",9514:"7f955038"}[e]+".js",o.miniCssF=e=>{},o.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),o.o=(e,a)=>Object.prototype.hasOwnProperty.call(e,a),c={},r="ns-compose-docs:",o.l=(e,a,t,f)=>{if(c[e])c[e].push(a);else{var b,d;if(void 0!==t)for(var n=document.getElementsByTagName("script"),i=0;i{b.onerror=b.onload=null,clearTimeout(l);var r=c[e];if(delete c[e],b.parentNode&&b.parentNode.removeChild(b),r&&r.forEach((e=>e(t))),a)return a(t)},l=setTimeout(u.bind(null,void 0,{type:"timeout",target:b}),12e4);b.onerror=u.bind(null,b.onerror),b.onload=u.bind(null,b.onload),d&&document.head.appendChild(b)}},o.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},o.p="/compose-docs/",o.gca=function(e){return e={17896441:"7918","935f2afb":"53",c1b9c732:"657","07712b78":"687",c4a0799b:"1010","708a3a2f":"1397","161535df":"1746",c2abd45e:"2309","814f3328":"2535","73114bfe":"2544","74a1c914":"2550",b0bf1abf:"3078","1f391b9e":"3085",a6aa9e1f:"3089","75dc470f":"3480",d4ab88d4:"3544",ffb62be8:"3555",c233fbe1:"3605","9e4087bc":"3608","01a85c17":"4013",a1b719ab:"4530",bbe80a6e:"4602","12cf9d53":"4845","0e4b1b59":"5477","1e47983f":"5730","2a3ffa35":"5868","0b7454c3":"5947",ccc49370:"6103",a7f5a42f:"6154","5d9fd5dd":"6808","6f393b9a":"6965","8980471f":"6983","2367c334":"7068","4d6f289c":"7337","393be207":"7414","181c334a":"7681","6b032824":"7929","4d19d8bc":"7999",fee01693:"8150","6875c492":"8610",ba2ed10b:"8905",b3c65406:"9482","1be78505":"9514"}[e]||e,o.p+o.u(e)},(()=>{var e={1303:0,532:0};o.f.j=(a,t)=>{var c=o.o(e,a)?e[a]:void 0;if(0!==c)if(c)t.push(c[2]);else if(/^(1303|532)$/.test(a))e[a]=0;else{var r=new Promise(((t,r)=>c=e[a]=[t,r]));t.push(c[2]=r);var f=o.p+o.u(a),b=new Error;o.l(f,(t=>{if(o.o(e,a)&&(0!==(c=e[a])&&(e[a]=void 0),c)){var r=t&&("load"===t.type?"missing":t.type),f=t&&t.target&&t.target.src;b.message="Loading chunk "+a+" failed.\n("+r+": "+f+")",b.name="ChunkLoadError",b.type=r,b.request=f,c[1](b)}}),"chunk-"+a,a)}},o.O.j=a=>0===e[a];var a=(a,t)=>{var c,r,f=t[0],b=t[1],d=t[2],n=0;if(f.some((a=>0!==e[a]))){for(c in b)o.o(b,c)&&(o.m[c]=b[c]);if(d)var i=d(o)}for(a&&a(t);n Blog | Neurosynth Compose Docs - +
- + \ No newline at end of file diff --git a/blog/archive.html b/blog/archive.html index 44d55aa..9877771 100644 --- a/blog/archive.html +++ b/blog/archive.html @@ -5,13 +5,13 @@ Archive | Neurosynth Compose Docs - +
- + \ No newline at end of file diff --git a/blog/first-blog-post.html b/blog/first-blog-post.html index c3e57a3..a386ed2 100644 --- a/blog/first-blog-post.html +++ b/blog/first-blog-post.html @@ -5,13 +5,13 @@ First Blog Post | Neurosynth Compose Docs - +
- + \ No newline at end of file diff --git a/blog/tags.html b/blog/tags.html index f3f05d7..be9b4fa 100644 --- a/blog/tags.html +++ b/blog/tags.html @@ -5,13 +5,13 @@ Tags | Neurosynth Compose Docs - +
- + \ No newline at end of file diff --git a/blog/tags/hello.html b/blog/tags/hello.html index 3605621..e55aba5 100644 --- a/blog/tags/hello.html +++ b/blog/tags/hello.html @@ -5,13 +5,13 @@ One post tagged with "hello" | Neurosynth Compose Docs - +

One post tagged with "hello"

View All Tags
- + \ No newline at end of file diff --git a/blog/tags/neurosynth.html b/blog/tags/neurosynth.html index 03fae6d..74cd475 100644 --- a/blog/tags/neurosynth.html +++ b/blog/tags/neurosynth.html @@ -5,13 +5,13 @@ One post tagged with "neurosynth" | Neurosynth Compose Docs - +

One post tagged with "neurosynth"

View All Tags
- + \ No newline at end of file diff --git a/guide.html b/guide.html index 9881e4e..21a2088 100644 --- a/guide.html +++ b/guide.html @@ -5,13 +5,13 @@ User Guide | Neurosynth Compose Docs - +
-
- +
+ \ No newline at end of file diff --git a/guide/glossary.html b/guide/glossary.html index 33f3bae..fd4c49b 100644 --- a/guide/glossary.html +++ b/guide/glossary.html @@ -5,7 +5,7 @@ Glossary | Neurosynth Compose Docs - + @@ -28,8 +28,8 @@ The contents of an analysis include the terms applied to the groups/conditions and their respective weights in the contrast. An analysis also contains the results of the statistical contrast either with an image and/or a table -indicating significant results

Condition​

Overview​

A condition is term/word that represents a psychological (e.g., 2-back), physical (e.g., biking)

Weights​

Point​

Overview​

Image​

- +indicating significant results

Condition​

Overview​

A condition is term/word that represents a psychological (e.g., 2-back), physical (e.g., biking)

Weights​

Point​

Overview​

Image​

+ \ No newline at end of file diff --git a/guide/walkthrough.html b/guide/walkthrough.html index ac757f8..303d7d6 100644 --- a/guide/walkthrough.html +++ b/guide/walkthrough.html @@ -5,13 +5,13 @@ Walkthrough | Neurosynth Compose Docs - +
-
- +
+ \ No newline at end of file diff --git a/guide/walkthrough/Project.html b/guide/walkthrough/Project.html index 559c40c..3392111 100644 --- a/guide/walkthrough/Project.html +++ b/guide/walkthrough/Project.html @@ -5,7 +5,7 @@ Project | Neurosynth Compose Docs - + @@ -13,8 +13,8 @@

Project

A project organizes the the various steps needed to create a meta-analysis from start to finish.

Within a project you will be able to:

  1. Curate studies of interest and select the ones to be included in the meta-analysis
  2. Extract the relevant data such as activation coordinates and other meta-data
  3. Specify the algorithm and corrector you would like to use
  4. Run the meta-analysis and View the results

In each project, you can define a define a single StudySe (i.e. a collection of related studies), and one or more MetaAnalysis specifications.

You can open a specific project by logging in, navigating to the My Projects page, and selecting a project you've created.

When you view a project for the first time, you'll notice that you'll default to the "Edit Project" tab. The "View Meta-Analyses" tab will be disabled and will become enabled when you have created the first meta-analysis specification -for the project.

- +for the project.

+ \ No newline at end of file diff --git a/guide/walkthrough/Project/Curation.html b/guide/walkthrough/Project/Curation.html index 9a76cf3..0bc480d 100644 --- a/guide/walkthrough/Project/Curation.html +++ b/guide/walkthrough/Project/Curation.html @@ -5,7 +5,7 @@ Curation | Neurosynth Compose Docs - + @@ -36,8 +36,8 @@ along with the following options: PROMOTE, NEEDS REVIEW, and EXCLUDE. There is also a button to ADD TAGS which will assign an informational tag to the study.

Exclude​

To exclude a study, click the EXCLUDE button and select the exclusion reason. You can either choose from the preset exclusion reasons or you can begin typing to create a new one.

tip

For the PRISMA workflow, the default exclusion reason wil depend on the phase you are in (identification vs screening vs eligibility), to match the PRISMA guidelines. While we do not recommend it, you can click the arrow button and start typing in the input to create a new exclusion reason. Revisit the PRISMA workflow to review reccomended exclusion criteria.

Promote​

If a study meets inclusion critera (for the current phase), click PROMOTE to move the study forward to the next curation column. If it is moved into the right most inclusion column, then it will be included in the meta-analysis.

tip

For the first column (especially in a PRISMA workflow) it can be tedious to promote non-duplicates to the next column. If all duplicates have been resolved, you can exit the dialog and click PROMOTE ALL UNCATEGORIZED STUDIES to advance all non-duplicate studies to the next column.

On to Extraction​

When you have categorized all imported studies by either excluding them or moving them to the inclusion column, then you have -successfully completed the curation portion of the meta-analysis.

Neurosynth Compose will detect this and reveal a new button: MOVE TO EXTRACTION PHASE. This will move you back to the project page and get you started on the next major component to building your meta-analysis: extraction.

- +successfully completed the curation portion of the meta-analysis.

Neurosynth Compose will detect this and reveal a new button: MOVE TO EXTRACTION PHASE. This will move you back to the project page and get you started on the next major component to building your meta-analysis: extraction.

+ \ No newline at end of file diff --git a/guide/walkthrough/Project/Extraction.html b/guide/walkthrough/Project/Extraction.html index c0f083b..1c99d12 100644 --- a/guide/walkthrough/Project/Extraction.html +++ b/guide/walkthrough/Project/Extraction.html @@ -5,7 +5,7 @@ Extraction | Neurosynth Compose Docs - + @@ -24,8 +24,8 @@ are imported into the curation phase are excluded during the curation process. Inserting these studies into the database would clutter it and create a lot of empty entries which don't have coordinates and might not even be used. By waiting until we have our finalized included subset of studies, we reduce the number of empty, useless studies in the database.

Annotations​

Study Editing​

Studies in the extraction phase are filtered and categorized to help better organize and facilitate the process. Initially, all studies -start as Uncategorized. The user can then decide to mark them as Save For Later if they want to revisit the study, or Completed.

Read Only Studies​

Study Annotations​

Study Edit Interface​

Syncing Between Curation and Extraction​

- +start as Uncategorized. The user can then decide to mark them as Save For Later if they want to revisit the study, or Completed.

Read Only Studies​

Study Annotations​

Study Edit Interface​

Syncing Between Curation and Extraction​

+ \ No newline at end of file diff --git a/guide/walkthrough/Project/Specification.html b/guide/walkthrough/Project/Specification.html index 635e562..4185167 100644 --- a/guide/walkthrough/Project/Specification.html +++ b/guide/walkthrough/Project/Specification.html @@ -5,13 +5,13 @@ Specification | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/guide/walkthrough/Studies.html b/guide/walkthrough/Studies.html index cbe1141..7a78505 100644 --- a/guide/walkthrough/Studies.html +++ b/guide/walkthrough/Studies.html @@ -5,13 +5,13 @@ Studies Page | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/guide/walkthrough/Studies/Searching.html b/guide/walkthrough/Studies/Searching.html index 584157f..57edd60 100644 --- a/guide/walkthrough/Studies/Searching.html +++ b/guide/walkthrough/Studies/Searching.html @@ -5,7 +5,7 @@ Searching | Neurosynth Compose Docs - + @@ -15,8 +15,8 @@ certain AND or NOT operators amongst multiple clauses.

For example, consider the search: nicotine OR smoking -marijuana. In this example, the search results returned to you will be all the results yielded from nicotine unioned with all the results of smoking -marijuana. Having -marijuana here does not relate to the entire search term - just smoking.

To ensure that you do not have any mention of marijuana in your returned papers, you must search: nicotine -marijuana or smoking -marijuana.

The same case applies for AND operations. In general, OR unions between various search groups consisting of and, not, and quoted search terms.

Study Data Type​

Studies can either report their findings as coordinate data, image data, or in some cases, both. Using the Study Data Type button, you can filter the results so that only coordinate or image data appears. For example, if you are doing a coordinate based meta-analysis, you -will want to filter the results to show only studies that report coordinates.

Sorting Results​

Use the Sort By feature to sort the results based on a given property. You can also set this to be ascending or descending.

Filtering​

To filter the results of the search, click on the orange Add Filter button. You have the option of filtering by title, description, author, or publication. Enter the string you want to filter by and click add to apply the filter.

Only one filter can be applied for each field. In order to remove a filter, simply click on the delete button on the given filter.

- +will want to filter the results to show only studies that report coordinates.

Sorting Results​

Use the Sort By feature to sort the results based on a given property. You can also set this to be ascending or descending.

Filtering​

To filter the results of the search, click on the orange Add Filter button. You have the option of filtering by title, description, author, or publication. Enter the string you want to filter by and click add to apply the filter.

Only one filter can be applied for each field. In order to remove a filter, simply click on the delete button on the given filter.

+ \ No newline at end of file diff --git a/guide/walkthrough/meta-analyses.html b/guide/walkthrough/meta-analyses.html index b057e31..c63da29 100644 --- a/guide/walkthrough/meta-analyses.html +++ b/guide/walkthrough/meta-analyses.html @@ -5,13 +5,13 @@ Meta-Analyses Page | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/guide/walkthrough/search.html b/guide/walkthrough/search.html index 8985982..b60d21e 100644 --- a/guide/walkthrough/search.html +++ b/guide/walkthrough/search.html @@ -5,13 +5,13 @@ Searching | Neurosynth Compose Docs - +
-

Intro To Searching

Searching Studies​

Neurosynth-Compose supports multiple ways to search for studies.

Searching Studysets​

Searching Meta-Analyses​

- +

Intro To Searching

Searching Studies​

Neurosynth-Compose supports multiple ways to search for studies.

Searching Studysets​

Searching Meta-Analyses​

+ \ No newline at end of file diff --git a/guide/walkthrough/studysets.html b/guide/walkthrough/studysets.html index 1759519..d19c03f 100644 --- a/guide/walkthrough/studysets.html +++ b/guide/walkthrough/studysets.html @@ -5,13 +5,13 @@ Studysets Page | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/index.html b/index.html index 12c395d..27f3489 100644 --- a/index.html +++ b/index.html @@ -5,13 +5,13 @@ What is Neurosynth Compose? | Neurosynth Compose Docs - +
-

What is Neurosynth Compose?

Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.

Neurosynth Compose is free to use and helps users:

  • 🔎 Search across over 15,000 studies in the Neurosynth database, or import from external databasets such as PubMed.
  • 🗃️ Curate your StudySet using systematic review tools conforming to the PRISMA guidelines.
  • 📝 Extract coordinates and metadata for each study, leveraging thousands of pre-extracted studies to minimize effort.
  • 📊 Analyze by specfying a reproducible NiMARE workflow, and execute it locally or in the cloud.
  • 🔗 Share with the community with complete provenance and reproducibility.

Get started! 🚀​

Tutorials

Tutorials show you how to use Neurosynth Compose with complete end-to-end examples.

Go to Tutorials

User Guide

The User Guide provides a detailed overview of the platform, and explains key concepts and features.

Go to User Guide

Getting Help​

  • Ask a question on Neurostars using the neurosynth-compose tag.
  • Report a bug or request a feature on GitHub
  • Help us improve the platform by using the feedback button in the bottom right corner of the page.
- +

What is Neurosynth Compose?

Neurosynth Compose is the next-generation of Neurosynth, enabling users to easily perform custom neuroimaging meta-analyses using a fully web-based platform, with no programming experience required.

Neurosynth Compose is free to use and helps users:

  • 🔎 Search across over 15,000 studies in the Neurosynth database, or import from external databasets such as PubMed.
  • 🗃️ Curate your StudySet using systematic review tools conforming to the PRISMA guidelines.
  • 📝 Extract coordinates and metadata for each study, leveraging thousands of pre-extracted studies to minimize effort.
  • 📊 Analyze by specfying a reproducible NiMARE workflow, and execute it locally or in the cloud.
  • 🔗 Share with the community with complete provenance and reproducibility.

Get started! 🚀​

Tutorials

Tutorials show you how to use Neurosynth Compose with complete end-to-end examples.

Go to Tutorials

User Guide

The User Guide provides a detailed overview of the platform, and explains key concepts and features.

Go to User Guide

Getting Help​

  • Ask a question on Neurostars using the neurosynth-compose tag.
  • Report a bug or request a feature on GitHub
  • Help us improve the platform by using the feedback button in the bottom right corner of the page.
+ \ No newline at end of file diff --git a/introduction/ecosystem.html b/introduction/ecosystem.html index 02ac777..49ded7d 100644 --- a/introduction/ecosystem.html +++ b/introduction/ecosystem.html @@ -5,7 +5,7 @@ Ecosystem for fMRI Meta-Analysis | Neurosynth Compose Docs - + @@ -28,8 +28,8 @@ Additionally, the NeuroQuery database will feed directly into NeuroStore as a source of coordinates.

NeuroVault​

NeuroVault is a repository for unthresholded statistical maps from neuroimaging studies.

As of early 2023, NeuroVault contains over 8,000 collections of statistical images, with over 100,000 images in total. It is the largest repository of unthresholded statistical maps in the world, and is the primary source of data for image-based meta-analyses using Neurosynth Compose.

Currently, NeuroVault supports some basic meta-analytic functionality. However, as other tools in this ecosystem are developed, -it is planned that NeuroVault will focus exclusively on image storage and sharing, and will rely on other tools for meta-analysis.

- +it is planned that NeuroVault will focus exclusively on image storage and sharing, and will rely on other tools for meta-analysis.

+ \ No newline at end of file diff --git a/introduction/faq.html b/introduction/faq.html index c5dd26f..ed5407e 100644 --- a/introduction/faq.html +++ b/introduction/faq.html @@ -3,15 +3,19 @@ -Frequently Asked Questions | Neurosynth Compose Docs +Frequently Asked Questions | Neurosynth Compose Docs - +
-

Frequently Asked Questions

  • How does this project relate to the original Neurosynth?

Neurosynth 1.0 was an online platform for browsing automatically generated large-scale neuroimaging meta-analyses. However, because all analyses were pre-generated, users were unable to define custom meta-analyses using the Neurosynth database. Instead, Neurosynth 1.0 used text mining techniques to automatically group studies based on the frequency of the terms mentioned in the text. Neurosynth Compose is focused on allowing users to overcome the limitations of automated large-scale meta-analysis, by enabling users to annotate studies, and curate sets of studies amenable for meta-analysis. This way, users can systematically define meta-analyses using their own expertise, while still leveraging the Neurosynth database, and an easy-to-use web-based analysis builder to accelerate the meta-analysis process.

You can read more about the relationship between Neurosynth 1.0 and Neurosynth Compose under Ecosystem

- +

Frequently Asked Questions

  • Is this service free to use?

Yes! Note, however, that NS-Compose is a web-based engine for neuroimaging meta-analysis specification; at the moment, we don’t (yet?) provide free computing resources for the execution of the resulting meta-analysis specifications. However, you can easily run your meta-analysis in the cloud using Google Colab, or locally using Python. Instructions are provided after you complete a meta-analysis.

  • Are there any restrictions on meta-analyses created?

Yes. Once a meta-analysis specification is executed and results are uploaded to our platform, you will no longer be able to delete or edit the analysis specification. A complete copy of the StudySet and Analysis is kept on our system to ensure compelte provenance. You can, however, keep the analysis as private to ensure it is unlisted in the public search.

If you wish to make any edits, you can edit the StudySet and create a new Analysis specification, which will receive a new unique ID.

Also, in the event that you publish any results generated using the Neurosynth Compose, you MUST provide a link to the corresponding meta-analysis specification ID on the platform.

  • I've noticed that a study on your platform contains errors or is incomplete, can I fix them?

Yes! We welcome user contributions. You can correct or add details on a study, including meta-data and peak activation coordinates. +A key piece of information that you may want to correct is how Activation coordinates are grouped into distinct Analyses (i.e. Contrasts). +Please ensure that any edits you make are as objective as possible and reflect what is represented in the original Study, and not the goals of your meta-analysis.

Note, that to avoid debates about the ground truth of a Study, when you make edits a new Version of the study is created, which is associated with your User.

  • If I contribute new studies to the platform, or edit existing studies, will other users be able to see them?

Yes! Althuogh a new Version of the study is created when you make any edits, we default to displaying user edited Versions over the automatically extracted versions. +This is because we assume that any edits made by users will be an improvements on the extraction algorithm. Please ensure any changes you make reflect this. +You may also make a Version private if you don't want to share your edits with others.

  • How does this project relate to the original Neurosynth?

Neurosynth 1.0 was an online platform for browsing automatically generated large-scale neuroimaging meta-analyses. However, because all analyses were pre-generated, users were unable to define custom meta-analyses using the Neurosynth database. Instead, Neurosynth 1.0 used text mining techniques to automatically group studies based on the frequency of the terms mentioned in the text. Neurosynth Compose is focused on allowing users to overcome the limitations of automated large-scale meta-analysis, by enabling users to annotate studies, and curate sets of studies amenable for meta-analysis. This way, users can systematically define meta-analyses using their own expertise, while still leveraging the Neurosynth database, and an easy-to-use web-based analysis builder to accelerate the meta-analysis process.

You can read more about the relationship between Neurosynth 1.0 and Neurosynth Compose under Ecosystem

+ \ No newline at end of file diff --git a/introduction/team.html b/introduction/team.html index 7ba68c6..52091de 100644 --- a/introduction/team.html +++ b/introduction/team.html @@ -5,13 +5,13 @@ Our Team | Neurosynth Compose Docs - +
-

Our Team

Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.

Current Members​

  • Alejandro de la Vega

  • James Kent

  • Nicholas Lee

  • Taylor Salo

  • Katie Bottenhorn

  • JB Poline

  • Angela Laird

  • Russ Poldrack

  • Tom Nichols

  • Julio Pedraza

- +

Our Team

Neurosynth-Compose is a collaborative effort between several labs around the world and is supported by the National Institute of Mental Health award 5R01MH096906-06.

Current Members​

  • Alejandro de la Vega

  • James Kent

  • Nicholas Lee

  • Taylor Salo

  • Katie Bottenhorn

  • JB Poline

  • Angela Laird

  • Russ Poldrack

  • Tom Nichols

  • Julio Pedraza

+ \ No newline at end of file diff --git a/markdown-page.html b/markdown-page.html index 8419d70..f8973c4 100644 --- a/markdown-page.html +++ b/markdown-page.html @@ -5,13 +5,13 @@ Markdown page example | Neurosynth Compose Docs - +

Markdown page example

You don't need React to write simple standalone pages.

- + \ No newline at end of file diff --git a/tutorial.html b/tutorial.html index cfa35e7..a931da1 100644 --- a/tutorial.html +++ b/tutorial.html @@ -5,13 +5,13 @@ Tutorials | Neurosynth Compose Docs - +
-

Tutorials

Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.

Below is an overview of three uses cases, with links to tutorials for each one.

Automated

Fast exploratory analysis.

  • Query studies at scale
  • Search using terms, topics or activation coordinates
  • Replicate results from original Neurosynth
  • Immediate results, ideal for a exploratory analysis

Semi-Automated

Precise and customizable, but faster than manual.

  • Query NeuroStore to quickly find studies
  • Curate study inclusion to define concept more precisely
  • Optional fine-grained selection of analyses/contrasts within each study

Manual

Most stringent and rigorous.

  • Search across multiple sources, such as: PubMed, Web of Science, NeuroStore
  • Careful curation for inclusion/exclusion criteria
  • Extract coordinates from studies not already indexed
  • Meets PRISMA guidelines

- +

Tutorials

Neurosynth-Compose supports a range of use cases, from a finely controlled manual-meta analysis to a fully automated large-scale meta-analysis.

Below is an overview of three uses cases, with links to tutorials for each one.

Automated

Fast exploratory analysis.

  • Query studies at scale
  • Search using terms, topics or activation coordinates
  • Replicate results from original Neurosynth
  • Immediate results, ideal for a exploratory analysis

Semi-Automated

Precise and customizable, but faster than manual.

  • Query NeuroStore to quickly find studies
  • Curate study inclusion to define concept more precisely
  • Optional fine-grained selection of analyses/contrasts within each study

Manual

Most stringent and rigorous.

  • Search across multiple sources, such as: PubMed, Web of Science, NeuroStore
  • Careful curation for inclusion/exclusion criteria
  • Extract coordinates from studies not already indexed
  • Meets PRISMA guidelines

+ \ No newline at end of file diff --git a/tutorial/large-scale.html b/tutorial/large-scale.html index 2e402d2..9616fcf 100644 --- a/tutorial/large-scale.html +++ b/tutorial/large-scale.html @@ -5,13 +5,13 @@ Exporatory automated large-scale meta-analysis | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/tutorial/manual.html b/tutorial/manual.html index c7fd6d3..5cc89a8 100644 --- a/tutorial/manual.html +++ b/tutorial/manual.html @@ -5,13 +5,13 @@ Manual Meta-Analysis | Neurosynth Compose Docs - +
-
- + + \ No newline at end of file diff --git a/tutorial/semi-automated.html b/tutorial/semi-automated.html index 14b40cf..f1084cb 100644 --- a/tutorial/semi-automated.html +++ b/tutorial/semi-automated.html @@ -5,13 +5,13 @@ Semi-Automated Meta-Analysis with PRISMA | Neurosynth Compose Docs - +
-

Semi-Automated Meta-Analysis with PRISMA

- +

Semi-Automated Meta-Analysis with PRISMA

+ \ No newline at end of file