Granger causality analysis methods on brain functional signals
10.3760/cma.j.issn.1673-4181.2011.06.013
- VernacularTitle:脑功能信号的Granger因果性分析方法
- Author:
Weina LI
;
Xiaolin ZHENG
;
Wensheng HOU
;
Guocai WU
;
Hua FENG
- Publication Type:Journal Article
- Keywords:
Granger causality analysis;
Structural vector autoregression;
Magnetoencephalography/electro encephalography;
Functional MRI;
Epilepsy
- From:
International Journal of Biomedical Engineering
2011;34(6):375-379
- CountryChina
- Language:Chinese
-
Abstract:
How does brain select and adjust the distributed neural activities to achieve its function? To address this problem,researchers introduce Granger causality analysis method to brain functional study,which deals with the estimation of causal influences among multi-variables.First,basic principles of Granger Causality and its improved algorithm structural vector autoregression (SVAR) are introduced.Then several technical problems are reviewed which should be noted when analyzing brain functional signals by Granger Causality Methods.In the end,the application foreground of Granger Causality in epilepsy localization is introduced by taking idiopathic generalized epilepsy as the example.
