Investigating causality between interacting brain areas with multivariate autoregressive models of MEG sensor data

In this work, we investigate the feasibility to estimating causal interactions between brain regions based on multivariate autoregressive models (MAR models) fitted to magnetoencephalographic (MEG) sensor measurements. We first demonstrate the theoretical feasibility of estimating source level causa...

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Detalles Bibliográficos
Autores principales: Michalareas, George, Schoffelen, Jan‐Mathijs, Paterson, Gavin, Gross, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Subscription Services, Inc., A Wiley Company 2012
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617463/
https://www.ncbi.nlm.nih.gov/pubmed/22328419
http://dx.doi.org/10.1002/hbm.21482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617463/
https://www.ncbi.nlm.nih.gov/pubmed/22328419
http://dx.doi.org/10.1002/hbm.21482

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