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电抽搐治疗后重度抑郁症患者内源性功能网络拓扑结构的映射。

Mapping intrinsic functional network topological architecture in major depression disorder after electroconvulsive therapy.

机构信息

School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China.

Department of Neurology, the First Hospital of Anhui Medical University, Hefei 230022, China.

出版信息

J Affect Disord. 2022 Aug 15;311:103-109. doi: 10.1016/j.jad.2022.05.067. Epub 2022 May 18.

Abstract

Disrupted topological organization of functional brain networks has been well documented in major depressive disorder (MDD). However, there is no report about how electroconvulsive therapy (ECT), a rapid way for depression remission, affects whole-brain functional network topological architecture to improve clinical symptoms in individuals with MDD. In this study, resting-state functional magnetic resonance imaging (rs-fMRI) data were collected for twenty-four MDD patients before and after receiving ECT and 25 gender-, age- and education-matched healthy controls (HC). The functional brain network for each subject was mapped using Brainnetome Atlas and graph-theory was applied to measure topological properties for both binary and weighted network. The results showed that ECT can significantly increase shortest path length and decrease global efficiency in MDD patients. In addition, significant alterations in nodal degree, nodal efficiency as well as between nodal functional connectivity strength were found in MDD patients after ECT. The network nodes showing changed degree, efficiency and connectivity were primarily distributed in default mode network (DMN), fronto-parietal network (FPN), and limbic system. Our findings demonstrates that ECT improves depressive symptoms by reorganizing disrupted network topological architecture in MDD patients and highlights the important role of functional reorganization of DMN, FPN, and limbic network contributing to depression remission.

摘要

功能脑网络的拓扑组织紊乱在重度抑郁症(MDD)中已有充分的记载。然而,目前还没有关于电惊厥疗法(ECT)如何影响全脑功能网络拓扑结构,从而改善 MDD 个体的临床症状的报道。在这项研究中,我们对 24 例接受 ECT 前后的 MDD 患者和 25 名性别、年龄和教育程度相匹配的健康对照组(HC)进行了静息态功能磁共振成像(rs-fMRI)数据采集。使用脑网络图谱将每个受试者的功能脑网络进行映射,并应用图论测量二值网络和加权网络的拓扑属性。结果表明,ECT 可显著增加 MDD 患者的最短路径长度并降低全局效率。此外,在 ECT 后,MDD 患者的节点度、节点效率以及节点间功能连接强度也发生了显著变化。显示出改变的度、效率和连接性的网络节点主要分布在默认模式网络(DMN)、额顶叶网络(FPN)和边缘系统中。我们的研究结果表明,ECT 通过重新组织 MDD 患者紊乱的网络拓扑结构来改善抑郁症状,并强调了 DMN、FPN 和边缘网络的功能重组对缓解抑郁的重要作用。

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