Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies

Recent technological advances have been permitted to use high-density electroencephalography (hdEEG) for the estimation of functional connectivity and the mapping of resting-state networks (RSNs). The reliable estimate of activity and connectivity from hdEEG data relies on the creation of an accurat...

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Detalles Bibliográficos
Autores principales: Taberna, Gaia Amaranta, Samogin, Jessica, Marino, Marco, Mantini, Dante
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226780/
https://www.ncbi.nlm.nih.gov/pubmed/34204868
http://dx.doi.org/10.3390/brainsci11060741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226780/
https://www.ncbi.nlm.nih.gov/pubmed/34204868
http://dx.doi.org/10.3390/brainsci11060741

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