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首页> 外文期刊>Neuroscience and Biobehavioral Reviews >Anxious brain networks: A coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety
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Anxious brain networks: A coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety

机译:焦虑脑网络:焦虑休息状态功能连通性研究的基于坐标的激活似然估计荟萃分析

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摘要

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 de coupling 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.
机译:焦虑和焦虑障碍与功能性大脑网络的特定改变相​​关,包括网络内和网络间。鉴于焦虑症中的异质性和研究中的功能网络差异不一致,识别焦虑脑网络的常见模式是必要的。在这里,我们进行了焦虑和焦虑症的休息状态功能连通性研究的激活似然估计荟萃分析(包括835个具有不同焦虑或焦虑症和508个对照的人)。结果表明,焦虑可以通过与执行控制网络(ECN)和默认模式网络(DMN)的情感网络的次幂连接,以及ECN与DMN的耦合。显着网络内的连接及其与传感器网络的连接也是衰减的。这些结果揭示了与焦虑和焦虑症中的情感加工相关的网络上的情感和认知控制相关网络的一致性失效。目前的调查结果为患有焦虑和焦虑障碍常见的脑网络变化的综合模型提供了一个实证基础。

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