Shenzhen Key Laboratory of Affective and Social Neuroscience, Shenzhen University, Shenzhen, 518060, China.
School of Psychological Sciences, University of Melbourne, Victoria, 3010, Australia; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, 10029, USA.
Neurosci Biobehav Rev. 2019 Jan;96:21-30. doi: 10.1016/j.neubiorev.2018.11.005. Epub 2018 Nov 17.
Anxiety and anxiety disorders are associated with specific alterations to functional brain networks, including intra-networks and inter-networks. Given the heterogeneity within anxiety disorders and inconsistencies in functional network differences across studies, identifying common patterns of altered brain networks in anxiety is imperative. Here, we conducted an activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety and anxiety disorders (including 835 individuals with different levels of anxiety or anxiety disorders and 508 controls). Results show that anxiety can be characterized by hypo-connectivity of the affective network with executive control network (ECN) and default mode network (DMN), as well as decoupling of the ECN with the DMN. The connectivity within the salience network and its connectivity with sensorimotor network are also attenuated. These results reveal consistent dysregulations of affective and cognitive control related networks over networks related to emotion processing in anxiety and anxiety disorders. The current findings provide an empirical foundation for an integrated model of brain network alterations that are common across anxiety and anxiety disorders.
焦虑和焦虑障碍与特定的功能性大脑网络改变有关,包括内联网和外联网。鉴于焦虑障碍的异质性以及不同研究中功能性网络差异的不一致性,确定焦虑中改变的大脑网络的常见模式至关重要。在这里,我们对焦虑和焦虑障碍的静息状态功能连接研究进行了激活似然估计荟萃分析(包括 835 名不同程度焦虑或焦虑障碍的个体和 508 名对照)。结果表明,焦虑的特征可以是情感网络与执行控制网络(ECN)和默认模式网络(DMN)的连接减少,以及 ECN 与 DMN 的解耦。显着性网络内的连接及其与感觉运动网络的连接也减弱了。这些结果揭示了在焦虑和焦虑障碍中,与情绪处理相关的网络上的情感和认知控制相关网络的一致失调。目前的研究结果为跨焦虑和焦虑障碍的常见脑网络改变的综合模型提供了经验基础。