Brain Markers of Resilience to Psychosis in High-Risk Individuals: A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI Studies
Name
brainsci-15-00314.pdf
Size
4.1 MB
Format
Adobe PDF
Checksum (MD5)
d6f303398ff06c58e9e92287cc59becb
Author(s)
Collin, Guusje
Goldenberg, Joshua E.
Chang, Xiao
Qi, Zhenghan
Whitfield-Gabrieli, Susan
Cahn, Wiepke
Wang, Jijun
Stone, William S.
Keshavan, Matcheri S.
Shenton, Martha E.
Date Issued
March 17, 2025
Journal
Brain Sciences
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Collin, G.; Goldenberg, J.E.; Chang, X.; Qi, Z.; Whitfield-Gabrieli, S.; Cahn, W.; Wang, J.; Stone, W.S.; Keshavan, M.S.; Shenton, M.E. Brain Markers of Resilience to Psychosis in High-Risk Individuals: A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI Studies. Brain Sci. 2025, 15, 314.
Version
Final published version
Abstract
Background/Objectives: Most individuals who have a familial or clinical risk of developing psychosis remain free from psychopathology. Identifying neural markers of resilience in these at-risk individuals may help clarify underlying mechanisms and yield novel targets for early intervention. However, in contrast to studies on risk biomarkers, studies on neural markers of resilience to psychosis are scarce. The current study aimed to identify potential brain markers of resilience to psychosis. Methods: A systematic review of the literature yielded a total of 43 MRI studies that reported resilience-associated brain changes in individuals with an elevated risk for psychosis. Label-based meta-analysis was used to synthesize findings across MRI modalities. Results: Resilience-associated brain changes were significantly overreported in the default mode and language network, and among highly connected and central brain regions. Conclusions: These findings suggest that the DMN and language-associated areas and central brain hubs may be hotspots for resilience-associated brain changes. These neural systems are thus of key interest as targets of inquiry and, possibly, intervention in at-risk populations.
MIT Department
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/brainsci15030314
