Imaging brain dynamics using independent component analysis

Citation
Tp. Jung et al., Imaging brain dynamics using independent component analysis, P IEEE, 89(7), 2001, pp. 1107-1122
Citations number
71
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
PROCEEDINGS OF THE IEEE
ISSN journal
00189219 → ACNP
Volume
89
Issue
7
Year of publication
2001
Pages
1107 - 1122
Database
ISI
SICI code
0018-9219(200107)89:7<1107:IBDUIC>2.0.ZU;2-G
Abstract
The analysis of electroencephalographic (EEG) and magnetoencephalographic ( MEG) recordings is important both for basic brain research and for medical diagnosis and treatment. Independent component analysis (ICA) is an effecti ve method for removing artifacts and separating sources of the brain signal s from these recordings. A similar approach is proving useful for analyzing functional magnetic resonance brain imaging (fMRI) data. In this paper, we outline the assumptions underlying ICA and demonstrate its application to a variety of electrical and hemodynamic recordings from the human brain.