Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm

Robust estimation of the number, location, and activity of multiple correlated brain sources has long been a challenging task in electromagnetic brain imaging from M/EEG data, one that is significantly impacted by interference from spontaneous brain activity, sensor noise, and other sources of artif...

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Detalles Bibliográficos
Autores principales: Cai, Chang, Hashemi, Ali, Diwakar, Mithun, Haufe, Stefan, Sekihara, Kensuke, Nagarajan, Srikantan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451305/
https://www.ncbi.nlm.nih.gov/pubmed/33039615
http://dx.doi.org/10.1016/j.neuroimage.2020.117411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451305/
https://www.ncbi.nlm.nih.gov/pubmed/33039615
http://dx.doi.org/10.1016/j.neuroimage.2020.117411

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