Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data

Human brain function depends on directed interactions between multiple areas that evolve in the subsecond range. Time-varying multivariate autoregressive (tvMVAR) modeling has been proposed as a way to help quantify directed functional connectivity strengths with high temporal resolution. While seve...

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Detalles Bibliográficos
Autores principales: Pagnotta, Mattia F., Plomp, Gijs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995381/
https://www.ncbi.nlm.nih.gov/pubmed/29889883
http://dx.doi.org/10.1371/journal.pone.0198846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995381/
https://www.ncbi.nlm.nih.gov/pubmed/29889883
http://dx.doi.org/10.1371/journal.pone.0198846

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