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EEG/MEG source imaging: methods, challenges, and open issues.

Authors :
Wendel K
Väisänen O
Malmivuo J
Gencer NG
Vanrumste B
Durka P
Magjarević R
Supek S
Pascu ML
Fontenelle H
Grave de Peralta Menendez R
Source :
Computational intelligence and neuroscience [Comput Intell Neurosci] 2009, pp. 656092. Date of Electronic Publication: 2009 Jul 20.
Publication Year :
2009

Abstract

We present the four key areas of research-preprocessing, the volume conductor, the forward problem, and the inverse problem-that affect the performance of EEG and MEG source imaging. In each key area we identify prominent approaches and methodologies that have open issues warranting further investigation within the community, challenges associated with certain techniques, and algorithms necessitating clarification of their implications. More than providing definitive answers we aim to identify important open issues in the quest of source localization.

Details

Language :
English
ISSN :
1687-5273
Database :
MEDLINE
Journal :
Computational intelligence and neuroscience
Publication Type :
Academic Journal
Accession number :
19639045
Full Text :
https://doi.org/10.1155/2009/656092