ArticleFrontiers in neuroimaging2025
Neuroimaging correlates of psychological resilience: an Open Science systematic review and meta-analysis.
Article in Frontiers in neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Gray matter volume correlates of resilience: a coordinate-based meta-analysis.Frontiers in psychology · 2026Article
- Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting-State fMRI Study Using Co-Activation Pattern Analysis.Human brain mapping · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Introduction: While risk factors have been identified for numerous psychiatric disorders, many individuals exposed to these risk factors do not develop psychopathology. A growing neuroimaging literature has sought to find structural and functional brain features that confer psychological resilience against developing psychiatric disorders. Methods: We conducted a systematic review and meta-analysis of neuroimaging studies associated with psychological resilience. Searches of Pubmed, Embase, Web of Science and PsychInfo yielded 2,658 potentially relevant articles published 2000-2021. Of these, we identified 154 human neuroimaging articles which provided anatomical coordinates of regions promoting resilience against psychiatric disorders including PTSD (44% of articles), schizophrenia (18%), major depressive disorder (14%) and bipolar disorder (12%). Results: Meta-analysis conducted in GingerALE identified three regions as promoting psychological resilience across disorders (cluster-level FWE Discussion: We additionally introduce a novel framework for conducting systematic reviews and meta-analyses that is compliant with best practices of Open Science: our publicly viewable systematic review was curated and annotated using the open-source reference manager Zotero, with customizable Python scripts for extracting curated data for meta-analyses. Our methodological pipeline not only permits independent replication of our findings but also supports customization for future neuroimaging meta-analyses.
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Registered trials
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