Brain network localization of structural and functional abnormality associated with aggression

与攻击行为相关的结构和功能异常的大脑网络定位

阅读:3

Abstract

BACKGROUND: Aggression, while evolutionarily adaptive, becomes maladaptive when it violates social norms and inflicts harm, posing significant societal and clinical challenges. Despite extensive research, the neural mechanisms underlying aggression remain poorly understood due to inconsistent findings and the network localization of aggression remains underexplored. METHODS: This study synthesized findings from 91 neuroimaging studies, including 56 studies on trait aggression (1387 aggressive and 1251 non-aggressive individuals) and 40 studies on elicited aggression (2651 individuals), to identify brain regions implicated in aggression and constructed probability maps of aggression-related brain abnormality networks. We applied functional connectivity network mapping combined with large-scale brain connectome data to localize aggression-related structural and functional brain alterations into three distinct networks: gray matter volume, task-induced activation, and resting-state activity. RESULTS: The aggression gray matter volume abnormality network encompassed widespread regions, including the insula, superior temporal gyrus, and cingulate cortex, predominantly involving the salience networks. The task-induced activation abnormalitynetwork implicated the basal ganglia and anterior salience networks, with subgroup analyses revealing distinct patterns between elicited and trait aggression. The resting-state activity abnormality network involved the dorsal default mode and visual networks. CONCLUSIONS: These findings provide a unified framework for understanding aggression's neurobiology from a network perspective, addressing prior inconsistencies. The identified networks may serve as biomarkers for refining brain stimulation targets and guiding pharmacological or psychological interventions to mitigate aggression.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。