TY - JOUR
T1 - Electroconvulsive Therapy-Induced Changes in Functional Brain Network of Major Depressive Disorder Patients
T2 - A Longitudinal Resting-State Electroencephalography Study
AU - Sun, Shuting
AU - Yang, Peng
AU - Chen, Huayu
AU - Shao, Xuexiao
AU - Ji, Shanling
AU - Li, Xiaowei
AU - Li, Gongying
AU - Hu, Bin
N1 - Publisher Copyright:
Copyright © 2022 Sun, Yang, Chen, Shao, Ji, Li, Li and Hu.
PY - 2022/5/18
Y1 - 2022/5/18
N2 - 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.
AB - 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.
KW - electroconvulsive therapy
KW - electroencephalography
KW - functional connectivity
KW - graph theory analysis
KW - major depressive disorder
UR - http://www.scopus.com/inward/record.url?scp=85131569525&partnerID=8YFLogxK
U2 - 10.3389/fnhum.2022.852657
DO - 10.3389/fnhum.2022.852657
M3 - Article
AN - SCOPUS:85131569525
SN - 1662-5161
VL - 16
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
M1 - 852657
ER -