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Brain network localization of structural and functional abnormality associated with aggression.

Zhaobin Chen1, Yudan Ding2, Yong Liu1

  • 1Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

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Summary

This study mapped brain networks linked to aggression, identifying distinct patterns in gray matter, task activity, and resting states. These findings offer a unified neurobiological framework for aggression and potential intervention targets.

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Network Analysis

Background:

  • Aggression presents societal and clinical challenges, yet its neural underpinnings and network localization are poorly understood.
  • Inconsistent findings hinder a clear understanding of the brain mechanisms driving aggression.

Purpose of the Study:

  • To synthesize neuroimaging data to identify brain regions and networks associated with aggression.
  • To localize aggression-related structural and functional brain alterations into distinct network categories.

Main Methods:

  • Meta-analysis of 91 neuroimaging studies on trait and elicited aggression.
  • Functional connectivity network mapping and large-scale brain connectome data analysis.
  • Construction of probability maps for aggression-related brain abnormality networks (gray matter, task-induced activation, resting-state activity).

Main Results:

  • Gray matter abnormalities linked to aggression were found in the insula, superior temporal gyrus, and cingulate cortex, primarily within salience networks.
  • Task-induced activation abnormalities implicated basal ganglia and anterior salience networks, with variations between trait and elicited aggression.
  • Resting-state activity abnormalities involved the dorsal default mode and visual networks.

Conclusions:

  • A unified network-based framework for understanding aggression's neurobiology was established, resolving prior inconsistencies.
  • Identified networks may serve as biomarkers for targeted interventions, including brain stimulation, pharmacological, and psychological approaches.