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

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

JOURNAL=Frontiers in Human Neuroscience

VOLUME=Volume 16 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2022.852657

DOI=10.3389/fnhum.2022.852657

ISSN=1662-5161

ABSTRACT=Objectives: Researches 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: 19-channel resting-state eyes-closed EEG signals were collected from 24 MDD patients pre- and post-ECT treatment. Functional brain networks were constructed by 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 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. 
Conclusions: ECT modulated the brain’s global and local information processing patterns. And 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 clinical remitted depressive patients.