Detection of EEG-resting state independent networks by eLORETA-ICA method

Recent functional magnetic resonance imaging (fMRI) studies have shown that functional networks can be extracted even from resting state data, the so called “Resting State independent Networks” (RS-independent-Ns) by applying independent component analysis (ICA). However, compared to fMRI, electroen...

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Detalles Bibliográficos
Autores principales: Aoki, Yasunori, Ishii, Ryouhei, Pascual-Marqui, Roberto D., Canuet, Leonides, Ikeda, Shunichiro, Hata, Masahiro, Imajo, Kaoru, Matsuzaki, Haruyasu, Musha, Toshimitsu, Asada, Takashi, Iwase, Masao, Takeda, Masatoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322703/
https://www.ncbi.nlm.nih.gov/pubmed/25713521
http://dx.doi.org/10.3389/fnhum.2015.00031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322703/
https://www.ncbi.nlm.nih.gov/pubmed/25713521
http://dx.doi.org/10.3389/fnhum.2015.00031

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