Update tutorial

neurostuff · Nov 26, 2023 · 2e832eb · 2e832eb
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diff --git a/docs/introduction/TeamGrid.js b/docs/introduction/TeamGrid.js
@@ -94,7 +94,7 @@ const TeamMemberCard = ({ name, title, affiliation, imageUrl, websiteUrl, github
         title: 'Graduate Student',
         affiliation: 'Florida International University',
         imageUrl: useBaseUrl('team/pedraza.jpg'),
-        githubProfile: 'https://github./julioAPeraza'
+        githubProfile: 'https://github.com/julioAPeraza'
       },
       {
         id: 9,
@@ -103,7 +103,7 @@ const TeamMemberCard = ({ name, title, affiliation, imageUrl, websiteUrl, github
         affiliation: 'Stanford University',
         imageUrl: useBaseUrl('team/poldrack.jpg'),
         websiteUrl: 'http://poldracklab.org/',
-        githubProfile: 'https://github./poldrack'
+        githubProfile: 'https://github.com/poldrack'
 
       },
       {
@@ -120,7 +120,7 @@ const TeamMemberCard = ({ name, title, affiliation, imageUrl, websiteUrl, github
         title: 'Graduate Student',
         affiliation: 'Oxford University',
         imageUrl: useBaseUrl('team/yu.jpg'),
-        githubProfile: 'https://github./yifan0330'
+        githubProfile: 'https://github.com/yifan0330'
       }
     ];
 

diff --git a/docs/tutorial/large-scale.md → docs/tutorial/automated.md b/docs/tutorial/large-scale.md → docs/tutorial/automated.md
@@ -1,6 +1,6 @@
 ---
 sidebar_label: 'Automated Meta-Analysis'
-sidebar_position: 3
+sidebar_position: 2
 ---
 
 # Exporatory automated large-scale meta-analysis
diff --git a/docs/tutorial/image.png b/docs/tutorial/image.png
diff --git a/docs/tutorial/index.mdx b/docs/tutorial/index.mdx
@@ -6,44 +6,43 @@ import { Grid, Card, CardContent, Typography, Button } from '@mui/material';
 
 import { Link } from 'react-router-dom';
 
-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. 
+Neurosynth Compose supports a range of different workflows, from exploratory large-scale automated analyses to highly curated and rigorous manual analyses.
 
+The choice of workflow depends on the research question and the available resources. Note that you can choose to blend approaches from these two 
+ends of the spectrum, depending on your needs. Learn more about the different workflows by following the tutorials below.
 
 <div style={{ display: 'flex' }}>
-    <Link to="tutorial/large-scale" style={{ textDecoration: 'none' }} style={{ width: '100%', display: 'flex', marginRight: '30px', cursor: 'pointer' }}>
+    <Link to="tutorial/manual" style={{ textDecoration: 'none' }} style={{ width: '100%', display: 'flex', marginRight: '30px', cursor: 'pointer' }}>
         <Card style={{ borderRadius: '8px' }}>
         <CardContent>
             <Typography variant="h5" component="h2" gutterBottom>
-            Automated
+            Manual
             </Typography>
             <Typography variant="body1" gutterBottom>
-            <em>Fast exploratory analysis.</em><br/><br/>
+            <em>Most stringent and rigorous.</em><br/><br/>
                 <ul>
-                    <li>Query studies at scale</li>
-                    <li>Search using terms, topics or activation coordinates</li>
-                    <li>Replicate results from original Neurosynth</li>
-                    <li>Immediate results, ideal for a exploratory analysis</li>
+                    <li>Search across multiple sources, such as: PubMed, Web of Science, NeuroStore</li>
+                    <li>Careful curation for inclusion/exclusion criteria</li>
+                    <li>Extract coordinates from studies not already indexed</li>
+                    <li>Meets PRISMA guidelines</li>
                 </ul>
             </Typography>
         </CardContent>
         </Card>
     </Link>
-    <Link to="tutorial/manual" style={{ textDecoration: 'none' }} style={{ width: '100%', display: 'flex', marginRight: '30px', cursor: 'pointer' }}>
+    <Link to="tutorial/automated" style={{ textDecoration: 'none' }} style={{ width: '100%', display: 'flex', marginRight: '30px', cursor: 'pointer' }}>
         <Card style={{ borderRadius: '8px' }}>
         <CardContent>
             <Typography variant="h5" component="h2" gutterBottom>
-            Manual
+            Automated
             </Typography>
             <Typography variant="body1" gutterBottom>
-            <em>Most stringent and rigorous.</em><br/><br/>
+            <em>Fast exploratory analysis.</em><br/><br/>
                 <ul>
-                    <li>Search across multiple sources, such as: PubMed, Web of Science, NeuroStore</li>
-                    <li>Careful curation for inclusion/exclusion criteria</li>
-                    <li>Extract coordinates from studies not already indexed</li>
-                    <li>Meets PRISMA guidelines</li>
+                    <li>Query studies at scale</li>
+                    <li>Search using terms, topics or activation coordinates</li>
+                    <li>Replicate results from original Neurosynth</li>
+                    <li>Immediate results, ideal for a exploratory analysis</li>
                 </ul>
             </Typography>
         </CardContent>