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Update index.mdx
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adelavega authored Jul 7, 2023
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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. We recommend starting with the *Automated* tutorial, which is the fastest way to get started.
Below is an overview of three uses cases, with links to tutorials for each one.


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Automated
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<em>Fast workflow for exploratory analysis.</em><br/><br/>
<em>Fast exploratory analysis.</em><br/><br/>
<ul>
<li>Query studies programmatically at scale</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>
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Semi-Automated
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<em>More precise and customizable, but faster than manual.</em><br/><br/>
<em>Precise and customizable, but faster than manual.</em><br/><br/>
<ul>
<li>Query NeuroStore to quickly find studies</li>
<li>Manually include/exclude studies to define concept more precisely</li>
<li>Fine-grained selection of analyses/contrasts within each study</li>
<li>Curate study inclusion to define concept more precisely</li>
<li>Optional fine-grained selection of analyses/contrasts within each study</li>
</ul>
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<em>Most stringent and rigorous.</em><br/><br/>
<ul>
<li>Search across multiple sources, such as: PubMed, Web of Science, NeuroStore</li>
<li>Careful manual curation for inclusion/exclusion criteria</li>
<li>Careful curation for inclusion/exclusion criteria</li>
<li>Extract coordinates from studies not already indexed</li>
<li>Meets PRISMA reporting guidelines</li>
<li>Meets PRISMA guidelines</li>
</ul>
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