Title :
Detecting Effective Connectivity in Human Brain using Granger Causality
Author :
Zhou, Zhenyu ; Jiao, Yun ; Tang, Tianyu ; Lu, Zuhong ; Liu, Yijun ; Chen, Yonghong ; Ding, Mingzhou
Author_Institution :
Key Lab. of Child Dev. & Learning Sci., Southeast Univ., Nanjing
Abstract :
An analysis approach that based on the Granger causality method is proposed to study the directional effective influence between brain regions in the fMRI data. Granger causality was employed to extracted BOLD signals to investigate effective connectivity in the brain network. Data from an emotion task were used to validate this method, and the emotion pathway was partly clarified illustrated focus on the right amygdala. The presented results, exploring directional influences between activated brain regions, indicated that the Granger causality mapping combined with spectral matrix factorization and principal component analysis in the frequency domain could improve upon existing applications of traditional pairwise Granger causality mapping method in human brain effective connectivity studies.
Keywords :
biomedical MRI; brain; cause-effect analysis; frequency-domain analysis; neurophysiology; principal component analysis; time series; BOLD signals; Granger causality mapping; effective brain network connectivity; emotion pathway; emotion task; fMRI data; frequency domain analysis; principal component analysis; right amygdala; spectral matrix factorization; Biomedical engineering; Brain modeling; Frequency domain analysis; Frequency measurement; Humans; Integrated circuit measurements; Pattern matching; Signal analysis; Time measurement; Time series analysis; BOLD signal; Granger causality; connectivity; fMRI;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.100
