Department of Psychological and Brain Sciences,University of Delaware,Newark, DE,USA.
National Center for PTSD,Behavioral Science Division,VA Boston Healthcare System,Boston, MA,USA.
Psychol Med. 2019 Aug;49(11):1905-1913. doi: 10.1017/S0033291718002672. Epub 2018 Sep 12.
Externalizing disorders are known to be partly heritable, but the biological pathways linking genetic risk to the manifestation of these costly behaviors remain under investigation. This study sought to identify neural phenotypes associated with genomic vulnerability for externalizing disorders.
One-hundred fifty-five White, non-Hispanic veterans were genotyped using a genome-wide array and underwent resting-state functional magnetic resonance imaging. Genetic susceptibility was assessed using an independently developed polygenic score (PS) for externalizing, and functional neural networks were identified using graph theory based network analysis. Tasks of inhibitory control and psychiatric diagnosis (alcohol/substance use disorders) were used to measure externalizing phenotypes.
A polygenic externalizing disorder score (PS) predicted connectivity in a brain circuit (10 nodes, nine links) centered on left amygdala that included several cortical [bilateral inferior frontal gyrus (IFG) pars triangularis, left rostral anterior cingulate cortex (rACC)] and subcortical (bilateral amygdala, hippocampus, and striatum) regions. Directional analyses revealed that bilateral amygdala influenced left prefrontal cortex (IFG) in participants scoring higher on the externalizing PS, whereas the opposite direction of influence was observed for those scoring lower on the PS. Polygenic variation was also associated with higher Participation Coefficient for bilateral amygdala and left rACC, suggesting that genes related to externalizing modulated the extent to which these nodes functioned as communication hubs.
Findings suggest that externalizing polygenic risk is associated with disrupted connectivity in a neural network implicated in emotion regulation, impulse control, and reinforcement learning. Results provide evidence that this network represents a genetically associated neurobiological vulnerability for externalizing disorders.
已知外化障碍部分具有遗传性,但将遗传风险与这些高代价行为的表现联系起来的生物学途径仍在研究中。本研究旨在确定与外化障碍的基因组易感性相关的神经表型。
155 名白人、非西班牙裔退伍军人使用全基因组芯片进行基因分型,并接受静息态功能磁共振成像。使用独立开发的外化多基因评分 (PS) 评估遗传易感性,使用基于图论的网络分析识别功能神经网络。使用抑制控制任务和精神科诊断(酒精/物质使用障碍)来衡量外化表型。
一个外化障碍的多基因评分 (PS) 预测了以左杏仁核为中心的大脑回路(10 个节点,9 个连接)的连接,该回路包括几个皮质区域(双侧额下回三角部、左额前扣带皮质 (rACC))和皮质下区域(双侧杏仁核、海马体和纹状体)。方向分析显示,在 PS 得分较高的参与者中,双侧杏仁核影响左前额叶皮层(IFG),而在 PS 得分较低的参与者中则观察到相反的影响方向。多基因变异也与双侧杏仁核和左 rACC 的参与系数升高有关,这表明与外化相关的基因调节了这些节点作为通讯枢纽的功能程度。
研究结果表明,外化的多基因风险与情绪调节、冲动控制和强化学习中涉及的神经网络的连接中断有关。研究结果提供了证据,表明该网络代表了外化障碍的一种与遗传相关的神经生物学脆弱性。