Regularized FOCUSS algorithm for EEG/MEG source imaging

Author

Han, Jooman ; Park, Kwang Suk

Author_Institution

Interdisciplinary Program in Biomedical Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

122

Lastpage

124

Abstract

We derived a generalized version of the regularized FOCUSS algorithm which was derived in a paper by Phillips, JW et al., (1997). 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.

Keywords

electroencephalography; magnetoencephalography; medical signal processing; neurophysiology; depth-weighted regularized algorithm; electroencephalography; focal neural source imaging; magnetoencephalography; noise covariance; Bayesian methods; Biomedical engineering; Brain modeling; Current measurement; Electroencephalography; Focusing; Inverse problems; Iterative algorithms; Magnetic field measurement; Magnetic heads; Dipole; electroencephalography; inverse problem; regularization; sparse;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403106

Filename

1403106