title: [Analysis of EEG characteristic at early stages of depression using method of independent components].
abstract: Independent Component Analysis (ICA) was used for 19-channel resting EEG analysis 111 patients at early stages of depressive disorder and 526 age-matched healthy subjects. Comparison of independent components power spectra in depressed patients and healthy subjects in two states: Eyes closed and Eyes open, has revealed significant differences between groups for three frequency bands: Theta (4-7.5 Hz), Alpha (7.5-14 Hz), and Beta (14-20 Hz). Increased power of alpha and theta activity in depressed patients at parietal and occipital sites may be caused by decreased cortical activation of these regions. Diffuse enhancement of beta activity level can correlate with anxiety symptoms which take an important place in clinical picture of depressive disorder at early stages. Using of ICA method for comparison of spectral characteristics of EEG in groups of patients with different brain pathology and healthy subjects gives a possibility to localize more precisely the discovered differences as compare to traditional analysis of EEG spectra.
authors.forename: V A
authors.initials: VA
authors.lastname: Grin'-Iatsenko
authors.forename: I
authors.initials: I
authors.lastname: Baas
authors.forename: V A
authors.initials: VA
authors.lastname: Ponomarev
authors.forename: Iu D
authors.initials: IuD
authors.lastname: Kropotov
mesh_terms: D000293:Adolescent; D000328:Adult; D001611:Beta Rhythm; D003866:Depressive Disorder / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009778:Occipital Lobe / Q000503:physiopathology*; D010296:Parietal Lobe / Q000503:physiopathology*