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Disrupted Effective Connectivity Between the Amygdala and Orbitofrontal Cortex in Social Anxiety Disorder During Emotion Discrimination Revealed by Dynamic Causal Modeling for fMRI

机译:通过动态因果模型进行功能磁共振成像揭示在社交歧视中杏仁核和眶额皮质之间有效的连通性

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Social anxiety disorder (SAD) is characterized by over-reactivity of fear-related circuits in social or performance situations and associated with marked social impairment. We used dynamic causal modeling (DCM), a method to evaluate effective connectivity, to test our hypothesis that SAD patients would exhibit dysfunctions in the amygdala-prefrontal emotion regulation network. Thirteen unmedicated SAD patients and 13 matched healthy controls performed a series of facial emotion and object discrimination tasks while undergoing fMRI. The emotion-processing network was identified by a task-related contrast and motivated the selection of the right amygdala, OFC, and DLPFC for DCM analysis. Bayesian model averaging for DCM revealed abnormal connectivity between the OFC and the amygdala in SAD patients. In healthy controls, this network represents a negative feedback loop. In patients, however, positive connectivity from OFC to amygdala was observed, indicating an excitatory connection. As we did not observe a group difference of the modulatory influence of the FACE condition on the OFC to amygdala connection, we assume a context-independent reduction of prefrontal control over amygdalar activation in SAD patients. Using DCM, it was possible to highlight not only the neuronal dysfunction of isolated brain regions, but also the dysbalance of a distributed functional network.
机译:社交焦虑症(SAD)的特征是在社交或表现情况下与恐惧相关的回路反应过度,并伴有明显的社交障碍。我们使用动态因果模型(DCM)(一种评估有效连通性的方法)来检验我们的假设,即SAD患者在杏仁核-前额情绪调节网络中会出现功能障碍。 13名未接受药物治疗的SAD患者和13名匹配的健康对照组在进行fMRI时执行了一系列面部表情和对象识别任务。通过与任务相关的对比来识别情感处理网络,并促使选择合适的杏仁核,OFC和DLPFC进行DCM分析。贝叶斯模型对DCM的平均显示在SAD患者中OFC与杏仁核之间的连通性异常。在健康的控件中,此网络表示一个负反馈回路。然而,在患者中,观察到从OFC到杏仁核的阳性连接,表明存在兴奋性连接。由于我们没有观察到FACE条件对OFC到杏仁核连接的调节影响的群体差异,因此我们假设SAD患者中杏仁核激活对前额叶控制的背景独立性降低。使用DCM,不仅可以突出孤立的大脑区域的神经元功能障碍,还可以突出分布式功能网络的不平衡。

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