title: Extraction and localization of alpha activity of the brain in EEG and fMRI using constrained ICA.
abstract: In order to extract only the alpha activity related EEG signals of the brain, we have applied constrained Independent Component Analysis (cICA), a new extension of ICA in which some a priori knowledge of alpha activity is utilized to extract desired components. Its performance has been compared to that of conventional band-pass filtering via the scalp power maps of alpha activity. The preliminary results show that cICA-extracted alpha signals produce the alpha power maps which spatially match the activated regions of the brain mapped using fMRI more closely than those from the band-pass filtered alpha EEG signals. The use of cICA might provide a more effective means of extracting EEG alpha activity of the brain.
authors.affiliation: Department of Biomedical Engineering, Kyung Hee University, Yongin, Gyeonggi, Republic of Korea.
authors.forename: S H
authors.initials: SH
authors.lastname: Ahn
authors.forename: W H
authors.initials: WH
authors.lastname: Lee
authors.forename: M H
authors.initials: MH
authors.lastname: In
authors.forename: T S
authors.initials: TS
authors.lastname: Kim
authors.forename: S Y
authors.initials: SY
authors.lastname: Lee
mesh_terms: D000328:Adult; D000465:Algorithms; D000513:Alpha Rhythm / Q000379:methods*; D001683:Biological Clocks / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted