ArticleImaging neuroscience (Cambridge, Mass.)
Neurosynth Compose: A web-based platform for flexible and reproducible neuroimaging meta-analysis.
Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neural correlates of altered interoception in depressive and anxiety disorders: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data.Scientific reports · 2025Pooled it
- Meta analysis of glucose metabolism across Alzheimer's, Parkinson's and ALS Reveals emergence of adaptive brain glucometabolic responses and associated neurological functional profiles.medRxiv : the preprint server for health sciences · 2026Article
- Establishing the link between post-concussive symptoms and brain network dysfunction: A systematic scoping review of neuroimaging evidence.NeuroImage. Clinical · 2026Article
- Individualized targeting of the posterior parietal cortex with intermittent theta burst stimulation in anorexia nervosa: a randomized, double-blind, sham-controlled protocol.Frontiers in neuroscience · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid growth of the functional neuroimaging literature presents significant challenges for synthesizing findings across studies. Although automated meta-analysis platforms such as Neurosynth.org facilitate large-scale literature exploration, their capacity for addressing nuanced research questions is limited. As a result, manual meta-analyses remain prevalent despite being highly time intensive, often suffering from limited reproducibility, and frequently resulting in the loss of valuable expert-curated data due to idiosyncratic workflows. To address these limitations, we introduce Neurosynth Compose, a web-based platform designed to streamline the creation of transparent, reproducible, and high-quality neuroimaging meta-analyses. Neurosynth Compose features a user-friendly interface for study curation and annotation, adhering to PRISMA guidelines, and is integrated with NeuroStore, a centralized database containing over 30,000 studies with pre-extracted activation coordinates. Meta-analytic models are specified using the Neuroimaging Meta-Analysis Data Standard (NiMADS) and executed via the comprehensive NiMARE Python library, which supports diverse coordinate- and image-based algorithms. Analyses can be executed locally or in the cloud using portable execution bundles, and results are uploaded back to the online platform, facilitating interactive review and rapid sharing to colleagues and the community. By combining automated data collection with expert-guided study selection and powerful analysis tools in an open and flexible system, Neurosynth Compose streamlines the process of creating high-quality neuroimaging meta-analyses. At the same time, this open and collaborative framework encourages users to share their valuable annotations and meta-analyses, fostering a valuable crowdsourced knowledge base, and enabling users to update existing meta-analyses, paving the way for "living" syntheses that can be updated as new research emerges.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.