title: Regularized FOCUSS algorithm for EEG/MEG source imaging.
abstract: In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEG) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.
authors.affiliation: Interdisciplinary Program in Biomedical Eng., Seoul Nat. Univ., Korea.
authors.forename: Jooman
authors.initials: J
authors.lastname: Han
authors.forename: Kwang
authors.initials: K
authors.lastname: Suk Park