title: [Quantitative EEG analysis and the value for differential diagnosis on depression: II. Multivariate regression and discriminate analysis].
abstract: Multivariate regression and discriminate analyses were carried out based on the EEG power variables and some related clinical materials from 47 depressed patients and 43 normal controls. The results of regression analysis showed that the severity and duration of depression were associated with EEG slow activity, while the age of first episode and age of the patients were associated with EEG fast activity. Discriminate analysis clearly demonstrates the possible utility of EEG data in the differential diagnosis of depression.
authors.affiliation: Institute of Mental Health, Beijing Medical University.
authors.forename: X
authors.initials: X
authors.lastname: Liu
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001714:Bipolar Disorder / Q000175:diagnosis / Q000503:physiopathology*; D003866:Depressive Disorder / Q000145:classification / Q000175:diagnosis / Q000503:physiopathology*; D016002:Discriminant Analysis; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis