Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data

Previous work using simultaneously acquired electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data has shown that the slow temporal dynamics of resting state brain networks (RSNs), e.g., default mode network (DMN), visual network (VN), obtained from fMRI are correlated wi...

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Detalles Bibliográficos
Autores principales: Kyathanahally, Sreenath P., Wang, Yun, Calhoun, Vince D., Deshpande, Gopikrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743737/
https://www.ncbi.nlm.nih.gov/pubmed/29311887
http://dx.doi.org/10.3389/fninf.2017.00074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743737/
https://www.ncbi.nlm.nih.gov/pubmed/29311887
http://dx.doi.org/10.3389/fninf.2017.00074

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