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

Frontiers in Human Neuroscience

卷:16

Shuting Sun¹  Gongying Li³  Shanling Ji⁴  Huayu Chen⁴  Xuexiao Shao⁴  Bin Hu⁶  Xiaowei Li⁷  Peng Yang⁸ 

[1] Brain Health Engineering Laboratory, School of Medical Technology, Beijing Institute of Technology, Beijing, China;

[2] Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China;

[3] Department of Psychiatry, Huai’an Third People’s Hospital, Huai’an, China;

[4] Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China;

[5] Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University and Institute of Semiconductors, Chinese Academy of Sciences, Lanzhou, China;

[6] Open Source Software and Real-Time System, Lanzhou University, Ministry of Education, Lanzhou, China;

[7] Shandong Academy of Intelligent Computing Technology, Jinan, China;

[8] Shandong Daizhuang Hospital, Jining, China;

关键词: electroconvulsive therapy;    electroencephalography;    major depressive disorder;    functional connectivity;    graph theory analysis;   

DOI  :  10.3389/fnhum.2022.852657

来源: DOAJ

【 摘 要 】

ObjectivesSeveral 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.MethodsNineteen-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.ResultsECT 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.ConclusionECT modulated the brain’s global and local information-processing patterns. In addition, an ECT-induced increase in network metrics was associated with clinical remission.SignificanceThese findings might present the evidence for us to understand how ECT regulated the topology organization in functional brain networks of clinically remitted depressive patients.

【 授权许可】

Unknown