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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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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Citation Formats

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.