Brain Markers of Resilience to Psychosis in High-Risk Individuals: A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI Studies

Publication date

2025-03-17

Authors

Collin, G.
Goldenberg, Joshua E
Chang, Xiao
Qi, Zhenghan
Whitfield-Gabrieli, Susan
Cahn, WiepkeISNI 0000000368964140
Wang, Jijun
Stone, William S
Keshavan, Matcheri S
Shenton, Martha E

Editors

Advisors

Supervisors

Document Type

Article

Collections

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License

cc_by

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.

Keywords

Journal Article, Review

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 2025, 'Brain Markers of Resilience to Psychosis in High-Risk Individuals : A Systematic Review and Label-Based Meta-Analysis of Multimodal MRI Studies', Brain Sciences, vol. 15, no. 3, 314. https://doi.org/10.3390/brainsci15030314