An Exploratory Study Of Quantitive Electroencephalogram Predicting The Therapeutic Effect Of Modified Electroconvulsive Therapy On Mental Diseases

Objective : Schizophrenia(SZD)and major depressive disorder(MDD),as two high recurrent mental disorders,induce great suffer and economic stress for patients.Pharmacotherapy is the major treatment for these two diseases now,however,some patients do not response to it.For these patients,modified electroconvulsive therapy(MECT)has become one of the commonly used therapies.However,a number of patients also show non-response to MECT.To reduce the ‘error time’ for patients,many researchers explore the predictable marker of MECT response in early stage.However,there are no reliable markers untill now.In our study,quantitative electroencephalogram(QEEG)and mutual information analysis were used to explore the EEG predictors,and then compare the differences of EEG markers between SZD and MDD.Method:30 schizophrenia patients and 30 depression patients who prepared to receive MECT treatment were recruited in Shanghai Mental Health Center.One hour before the first MECT session,the resting EEG and demographic data were collected.As the baseline score,the positive and negative symptoms scale(PANSS)was applied to evaluate the symptoms of schizophrenia and the Hamilton Depression Rating Scale(HAMD)was used for depression patients.The PANSS or HAMD was revaluated separately after 8 times of MECT sessions.According to score reduction rate,patients were divided into the response and the null group.Then we compared the pretreatment EEG signals between the response and null group to find potential predictable markers in schizophrenia and major depression disorder.Results:For schizophrenia(in the brain network density threshold range of 0.05-0.5):In the β band,the assortativity of right temporal,right parietal and right occipital region in the response group was stronger than null group(p < 0.05).In the θ band,the assortativity of left frontal,parietal,central and right occipital region was stronger in the response group(p<0.05).For major depression disorder: there was no significant difference between the response group and the null group using brain network function in all bands.Conclusion:We found potential predictable EEG markers for MECT response in schizophrenic patients.The higher assortativity of pretreatment EEG signals in the right temporal,right parietal and right occipital region may predict response to MECT in the β band.The higher assortativity of left frontal,parietal,central and right occipital region may suggest potential response in the θ band.While,in depression patients,we found no QEEG biomarkers for MECT response.