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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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Detalhes bibliográficos
Main Authors: Michalareas, George, Schoffelen, Jan‐Mathijs, Paterson, Gavin, Gross, Joachim
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley Subscription Services, Inc., A Wiley Company 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3617463/
https://ncbi.nlm.nih.gov/pubmed/22328419
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.21482
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