Brain Efficient Connectivity Analysis of Attention Based on the Granger Causality Method.
- Author:
Qin YUAN
;
Tao JIANG
- Publication Type:Journal Article
- MeSH:
Algorithms;
Attention;
Brain;
physiology;
Electroencephalography;
Healthy Volunteers;
Humans
- From:
Journal of Biomedical Engineering
2016;33(1):56-60
- CountryChina
- Language:Chinese
-
Abstract:
The study of brain information flow is of great significance to understand brain function in the field of neuroscience. The Granger causality is widely used functional connectivity analysis using multivariate autoregressive model based on the predicted mechanism. High resolution electroencephalogram (EEG) signals of ten healthy subjects were collected with a visual selective attention task. Firstly, independent component analysis was used to extract three spatially independent components of the occipital, parietal, and frontal cortices. Secondly, the Granger causal connectivity was computed between these three regions based on the Granger causality method and then independent sample t-test and bootstrap were used to test the significance of connections. The results showed that Granger causal connectivity existed from frontal to occipital and from parietal to occipital in attentional condition, while causal connectivity from frontal to occipital disappeared in unattentional condition.
