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Integrated cross-network connectivity of amygdala, insula, and subgenual cingulate associated with facial emotion perception in healthy controls and remitted major depressive disorder

机译:与健康对照中的面部情感感知相关的杏仁达拉,insula和患者综合交叉网络连接和患者

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Emotion perception deficits could be due to disrupted connectivity of key nodes in the salience and emotion network (SEN), including the amygdala, subgenual anterior cingulate cortex (sgACC), and insula. We examined SEN resting-state (rs-)fMRI connectivity in rMDD in relation to Facial Emotion Perception Test (FEPT) performance. Fifty-two medication-free people ages 18 to 23 years participated. Twenty-seven had major depressive disorder (MDD) in remission (rMDD, 10 males), as MDD is associated with emotion perception deficits and alterations in rsfMRI. Twenty-five healthy controls (10 males) also participated. Participants completed the FEPT during fMRI, in addition to an 8-minute eyes-open resting-state scan. Seed regions of interest were defined in the amygdala, anterior insula and sgACC. Multiple regression analyses co-varied diagnostic group, sex and movement parameters. Emotion perception accuracy was positively associated with connectivity between amygdala seeds and regions primarily in the SEN and cognitive control network (CCN), and also the default mode network (DMN). Accuracy was also positively associated with connectivity between the sgACC seeds and other SEN regions, and the DMN, particularly for the right sgACC. Connectivity negatively associated with emotion perception was mostly with regions outside of these three networks, other than the left insula and part of the DMN. This study is the first to our knowledge to demonstrate relationships between facial emotion processing and resting-state connectivity with SEN nodes and between SEN nodes and regions located within other neural networks.
机译:情感感知赤字可能是由于突出的关键节点中断的关键节点(SEN)的连接,包括杏仁达拉,患者患者和Insula。我们在RMDD中审查了森休息状态(RS-)FMRI连接,与面部情绪感知测试(FEST)表现相关。参加了52至23岁的52岁的药物。二十七个在缓解(RMDD,10名男性)中具有重大抑郁症(MDD),因为MDD与rsfmri的情感感知赤字和改变有关。二十五次健康控制(10名男性)也参加了。除了8分钟的眼睛开放式休息状态扫描外,参与者在FMRI期间完成了备忘录。在Amygdala,前肠道和SGACC中定义了感兴趣的种子区域。多元回归分析共同诊断组,性别和运动参数。情绪感知精度与主要在森和认知控制网络(CCN)中的Amygdala种子和地区之间的连接相关,以及默认模式网络(DMN)。准确性也与SGACC种子和其他森地区的连接以及DMN之间的连接呈正相关,特别是对于右侧的SGACC。与情感感知的连接负相关的连接主要与这三个网络之外的区域,除了左侧肠和DMN的一部分之外。本研究首先是我们知识,以展示与森节点的面部情感处理和休息状态连接之间的关系以及位于其他神经网络中的森节点和地区之间的关系。

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