高技术通讯2024，Vol.34Issue(4)：379-385,7.DOI:10.3772/j.issn.1002-0470.2024.04.005
基于微状态的抑郁症静息态脑电信号分析
Analysis of resting EEG signals for depression based on microstates
摘要
Abstract
Patients with major depressive disorder(MDD)have cognitive dysfunction,but current studies did not clearly investigate its temporal abnormal neurological activity.In response to this problem,this paper uses the electroen-cephalogram(EEG)microstate method to study the EEG data of patients with major depression.This paper com-pares the microstate characteristics of 128-channel EEG data from 22 patients with major depressive disorder and 25 healthy controls,performs statistical analysis and explores correlations with scale scores.Results show that com-pared with healthy controls,the occurrence and coverage of microstate C in major depressive disorder group are higher,and the transition probabilities between other microstates and C are also higher,while the average duration of microstate D is lower and the number of transitions between D and microstate B significantly decreases.In addi-tion,microstates C and microstates D are significantly correlated with the depression scale and anxiety scale.The results show that the EEG-based microstate method can capture the abnormal brain dynamic characteristics of de-pressed patients,and provide an objective reference for the early clinical diagnosis and treatment of depression.关键词
抑郁症(MDD)/静息态脑电(EEG)/脑电信号处理/微状态/聚类Key words
major depressive disorder(MDD)/resting-state electroencephalogram(EEG)/EEG signal pro-cessing/microstate/clustering引用本文复制引用
陈学莹,齐晓英,史周晰,独盟盟..基于微状态的抑郁症静息态脑电信号分析[J].高技术通讯,2024,34(4):379-385,7.基金项目
国家自然科学基金(12102240)资助项目. （12102240）
