A spatiotemporal dynamic distributed solution to the MEG inverse problem

A spatiotemporal dynamic distributed solution to the MEG inverse problem

MEG/EEG are non-invasive imaging techniques that record brain activity with high temporal resolution. However, estimation of brain source currents from surface recordings requires solving an ill-conditioned inverse problem. Converging lines of evidence in neuroscience, from neuronal network models t...

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Bibliographic Details
Main Authors: Lamus, Camilo, Temereanca, Simona, Brown, Emery N., Hamalainen, Matti S., Purdon, Patrick Lee
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Elsevier 2016
Online Access:http://hdl.handle.net/1721.1/102244
https://orcid.org/0000-0001-5651-5060
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0001-6841-112X
https://orcid.org/0000-0002-6777-7979

Internet

http://hdl.handle.net/1721.1/102244
https://orcid.org/0000-0001-5651-5060
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0001-6841-112X
https://orcid.org/0000-0002-6777-7979

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