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EEG/MEG source imaging: Methods, challenges, and open issues
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Date
2009-08-24
Author
WENDEL, Katrina
VÄİSÄNEN, Outi
MALMİVUO, Jaakko
Gençer, Nevzat Güneri
VANRUMSTE, Bart
DURKA, Piotr
MAGJAREVİC, Ratko
SUPEK, Selma
PASCU, Mihail Lucian
FONTENELLE, Hugues
Grave De Peralta Menendez, Rolando
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
General Computer Science
,
General Neuroscience
,
General Mathematics
,
General Medicine
URI
https://hdl.handle.net/11511/42260
Journal
Computational Intelligence and Neuroscience
DOI
https://doi.org/10.1155/2009/656092
Collections
Department of Electrical and Electronics Engineering, Article
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K. WENDEL et al., “EEG/MEG source imaging: Methods, challenges, and open issues,”
Computational Intelligence and Neuroscience
, pp. 0–0, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42260.