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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Bibliographische Detailangaben
Hauptverfasser: Michalareas, George, Schoffelen, Jan‐Mathijs, Paterson, Gavin, Gross, Joachim
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley Subscription Services, Inc., A Wiley Company 2012
Schlagworte:
Research Articles
Online Zugang: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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