基于微状态的抑郁症静息态脑电信号分析OA北大核心CSTPCD

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.