High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors

Multivariate autoregressive (MVAR) model estimation enables assessment of causal interactions in brain networks. However, accurately estimating MVAR models for high-dimensional electrophysiological recordings is challenging due to the extensive data requirements. Hence, the applicability of MVAR mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Nagle, Alliot, Gerrelts, Josh P., Krause, Bryan M., Boes, Aaron D., Bruss, Joel E., Nourski, Kirill V., Banks, Matthew I., Van Veen, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528866/
https://www.ncbi.nlm.nih.gov/pubmed/37385393
http://dx.doi.org/10.1016/j.neuroimage.2023.120211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528866/
https://www.ncbi.nlm.nih.gov/pubmed/37385393
http://dx.doi.org/10.1016/j.neuroimage.2023.120211

Ejemplares similares