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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley Subscription Services, Inc., A Wiley Company
2012
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| 主題: | |
| オンライン･アクセス: | 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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