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电休克治疗引起的重度抑郁症患者功能性脑网络变化:一项纵向静息态脑电图研究。

Electroconvulsive Therapy-Induced Changes in Functional Brain Network of Major Depressive Disorder Patients: A Longitudinal Resting-State Electroencephalography Study.

作者信息

Sun Shuting, Yang Peng, Chen Huayu, Shao Xuexiao, Ji Shanling, Li Xiaowei, Li Gongying, Hu Bin

机构信息

Brain Health Engineering Laboratory, School of Medical Technology, Beijing Institute of Technology, Beijing, China.

Shandong Daizhuang Hospital, Jining, China.

出版信息

Front Hum Neurosci. 2022 May 18;16:852657. doi: 10.3389/fnhum.2022.852657. eCollection 2022.

Abstract

OBJECTIVES

Several studies have shown abnormal network topology in patients with major depressive disorder (MDD). However, changes in functional brain networks associated with electroconvulsive therapy (ECT) remission based on electroencephalography (EEG) signals have yet to be investigated.

METHODS

Nineteen-channel resting-state eyes-closed EEG signals were collected from 24 MDD patients pre- and post-ECT treatment. Functional brain networks were constructed by using various coupling methods and binarization techniques. Changes in functional connectivity and network metrics after ECT treatment and relationships between network metrics and clinical symptoms were explored.

RESULTS

ECT significantly increased global efficiency, edge betweenness centrality, local efficiency, and mean degree of alpha band after ECT treatment, and an increase in these network metrics had significant correlations with decreased depressive symptoms in repeated measures correlation. In addition, ECT regulated the distribution of hubs in frontal and occipital lobes.

CONCLUSION

ECT modulated the brain's global and local information-processing patterns. In addition, an ECT-induced increase in network metrics was associated with clinical remission.

SIGNIFICANCE

These findings might present the evidence for us to understand how ECT regulated the topology organization in functional brain networks of clinically remitted depressive patients.

摘要

目的

多项研究表明,重度抑郁症(MDD)患者存在异常的网络拓扑结构。然而,基于脑电图(EEG)信号,与电休克治疗(ECT)缓解相关的功能性脑网络变化尚未得到研究。

方法

收集24例MDD患者在ECT治疗前后的19通道闭眼静息状态EEG信号。使用各种耦合方法和二值化技术构建功能性脑网络。探讨ECT治疗后功能连接性和网络指标的变化,以及网络指标与临床症状之间的关系。

结果

ECT治疗后,ECT显著提高了全局效率、边介数中心性、局部效率和α波段的平均度,并且在重复测量相关性中,这些网络指标的增加与抑郁症状的减轻显著相关。此外,ECT调节了额叶和枕叶中枢纽的分布。

结论

ECT调节了大脑的全局和局部信息处理模式。此外,ECT引起的网络指标增加与临床缓解相关。

意义

这些发现可能为我们理解ECT如何调节临床缓解的抑郁患者功能性脑网络中的拓扑组织提供证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfab/9158117/595150fbdf6d/fnhum-16-852657-g001.jpg

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