Dugré Jules R, Potvin Stéphane
Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada.
Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
Front Psychiatry. 2022 Oct 25;13:969206. doi: 10.3389/fpsyt.2022.969206. eCollection 2022.
In the past decades, a growing body of evidence has suggested that some individuals may exhibit antisocial behaviors following brain lesions. Recently, some authors have shown that lesions underpinning antisocial behaviors may disrupt a particular brain network during resting-state. However, it remains unknown whether these brain lesions may alter specific mental processes during tasks. Therefore, we conducted meta-analytic co-activation analyses on lesion masks of 17 individuals who acquired antisocial behaviors following their brain lesions. Each lesion mask was used as a seed of interest to examine their aberrant co-activation network using a database of 143 whole-brain neuroimaging studies on antisocial behaviors ( = 5,913 subjects). We aimed to map the lesion brain network that shows deficient activity in antisocial population against a null distribution derived from 655 control lesions. We further characterized the lesion-based meta-analytic network using term-based decoding (Neurosynth) as well as receptor/transporter density maps (JuSpace). We found that the lesion meta-analytic network included the amygdala, orbitofrontal cortex, ventro- and dorso-medial prefrontal cortex, fusiform face area, and supplementary motor area (SMA), which correlated mainly with emotional face processing and serotoninergic system (5-HT and 5-HTT). We also investigated the heterogeneity in co-activation networks through data-driven methods and found that lesions could be grouped in four main networks, encompassing emotional face processing, general emotion processing, and reward processing. Our study shows that the heterogeneous brain lesions underpinning antisocial behaviors may disrupt specific mental processes, which further increases the risk for distinct antisocial symptoms. It also highlights the importance and complexity of studying brain lesions in relationship with antisocial behaviors.
在过去几十年中，越来越多的证据表明，一些个体在脑部受损后可能会表现出反社会行为。最近，一些作者表明，导致反社会行为的损伤可能会在静息状态下扰乱特定的脑网络。然而，这些脑损伤是否会在任务过程中改变特定的心理过程仍不清楚。因此，我们对17名脑部受损后出现反社会行为的个体的病变掩码进行了元分析共激活分析。每个病变掩码都被用作感兴趣的种子，以使用一个包含143项关于反社会行为的全脑神经影像学研究的数据库（n = 5913名受试者）来检查其异常的共激活网络。我们旨在绘制出在反社会人群中显示活动不足的病变脑网络，以对照从655个对照病变得出的零分布。我们进一步使用基于术语的解码（Neurosynth）以及受体/转运体密度图（JuSpace）对基于病变的元分析网络进行了特征描述。我们发现，病变元分析网络包括杏仁核、眶额皮质、腹侧和背内侧前额叶皮质、梭状面孔区和辅助运动区（SMA），这些区域主要与情绪面孔加工和5-羟色胺能系统（5-HT和5-HTT）相关。我们还通过数据驱动的方法研究了共激活网络中的异质性，发现病变可以分为四个主要网络，包括情绪面孔加工、一般情绪加工和奖赏加工。我们的研究表明，导致反社会行为的异质性脑损伤可能会扰乱特定的心理过程，这进一步增加了出现不同反社会症状的风险。它还突出了研究脑损伤与反社会行为关系的重要性和复杂性。
