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
Department of Psychiatry, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, The Netherlands.
Brain Sci. 2025 Mar 17;15(3):314. doi: 10.3390/brainsci15030314.
: 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. : 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. : Resilience-associated brain changes were significantly overreported in the default mode and language network, and among highly connected and central brain regions. : 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.
大多数有患精神病家族风险或临床风险的个体并未出现精神病理学症状。识别这些高危个体中的恢复力神经标志物可能有助于阐明潜在机制,并为早期干预提供新的靶点。然而,与风险生物标志物的研究相比,关于对精神病恢复力的神经标志物的研究很少。当前的研究旨在识别对精神病恢复力的潜在脑标志物。:对文献的系统综述共产生了43项MRI研究,这些研究报告了精神病风险升高个体中与恢复力相关的脑变化。基于标签的荟萃分析用于综合MRI模式的研究结果。:在默认模式和语言网络以及高度连接和中枢脑区中,与恢复力相关的脑变化被显著高估。:这些发现表明,默认模式网络、与语言相关的区域和中枢脑枢纽可能是与恢复力相关的脑变化的热点。因此,这些神经系统作为高危人群的研究靶点以及可能的干预靶点具有关键意义。