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前额皮质和纹状体边缘系统的内在连接分别将重度抑郁症与广泛性焦虑症区分开来。

Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder.

机构信息

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.

Chengdu Mental Health Center, Chengdu, 610036, Sichuan, China.

出版信息

Neuropsychopharmacology. 2021 Mar;46(4):791-798. doi: 10.1038/s41386-020-00868-5. Epub 2020 Sep 22.

Abstract

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent and debilitating disorders. The high overlap on the symptomatic and neurobiological level led to ongoing debates about their diagnostic and neurobiological uniqueness. The present study aims to identify common and disorder-specific neuropathological mechanisms and treatment targets in MDD and GAD. To this end we combined categorical and dimensional disorder models with a fully data-driven intrinsic network-level analysis (intrinsic connectivity contrast, ICC) to resting-state fMRI data acquired in 108 individuals (n = 35 and n = 38 unmedicated patients with first-episode GAD, MDD, respectively, and n = 35 healthy controls). Convergent evidence from categorical and dimensional analyses revealed MDD-specific decreased whole-brain connectivity profiles of the medial prefrontal and dorsolateral prefrontal cortex while GAD was specifically characterized by decreased whole-brain connectivity profiles of the putamen and decreased communication of this region with the amygdala. Together, findings from the present data-driven analysis suggest that intrinsic communication of frontal regions engaged in executive functions and emotion regulation represent depression-specific neurofunctional markers and treatment targets whereas dysregulated intrinsic communication of the striato-amygdala system engaged in reinforcement-based and emotional learning processes represent GAD-specific markers.

摘要

重度抑郁症(MDD)和广泛性焦虑症(GAD)是高度普遍且使人衰弱的疾病。在症状和神经生物学层面上的高度重叠导致了关于其诊断和神经生物学独特性的持续争论。本研究旨在确定 MDD 和 GAD 中常见的和特定于疾病的神经病理学机制和治疗靶点。为此,我们将分类和维度障碍模型与完全基于数据的内在网络水平分析(内在连通性对比,ICC)相结合,对 108 名个体的静息态 fMRI 数据进行了分析(n=35 和 n=38 分别为未经治疗的首发 GAD 和 MDD 患者,n=35 为健康对照)。分类和维度分析的一致证据表明,MDD 患者的内侧前额叶和背外侧前额叶的全脑连通性降低,而 GAD 患者的纹状体和该区域与杏仁核的连通性降低。总之,本数据驱动分析的结果表明,参与执行功能和情绪调节的额区的内在连通性代表抑郁特异性神经功能标记物和治疗靶点,而参与强化和情绪学习过程的纹状体-杏仁核系统的内在连通性失调则代表 GAD 特异性标记物。

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