Prediction system of electroconvulsive therapy treatment with Electroencephalography Analysis

The prevalence of depression is very high, and it will be one of the most important and incapacitating human disease worldwide. Major depressive disorder also cause severe social and economic burden. For the therapy of severe depression, antidepressant medication, ECT (electro-convulsive treatment) and rTMS (repetitive transcranial magnetic stimulation) treatment is one of the options. Because of treatment in high side effects and treatment efficacy limit, find out the effect of depression predict by objective determination, and increasing the precision of severe depression treatment based on existing studies. In the past, It have found that the brain detected by electroencephalogram (EEG) can predict the effect of efficacy prefrontal by theta band. There have been good results for prediction of drug efficacy and magnetic stimulation efficacy, but there is no related outcomes for ECT. It just verify that theta band is correlated with the efficacy of ECT. Therefore, this study will validate that using SVM: Support vector machine) by EEG theta band will predict the therapeutic effect of ECT and drugs. This study uses a series of feature such us energy, variance, approximate entropy and theta cordance to analyze multi-dimensional clustering classification to find correlation efficacy of electrotherapy and drug treatment by EEG and to predict the best antidepressant therapy. The results of the forecast model is that the prediction for the short-term efficacy of the drug is accuracy of 83.1%, sensitivity of 81.9% and specificity of 78.8%, and the long-term efficacy of the drug is the accuracy is 80.3%, specificity of 81.7% and sensitivity of 79.2%, and ECT efficacy is accuracy of 79.5% , specificity of 78.2% and a sensitivity of 76.1%. The ROC curve integral area (AUC) for the short-term efficacy of the drug group is 0.852, and for the long-term efficacy of the drug group is 0.837, short-term efficacy of ECT is 0.814 .The research is kind of breakthrough . In the future, with the increasing number of cases will receive more precise results. After establishing clinical data in future, it will be used to provide accurate selection in the treatment decision. There will be free from the side effects of ECT having the risk of invalidating the results. The wrong treatment can be prevented to avoid the deterioration of delayed treatment.