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Detecting Effective Connectivity in Human Brain using Granger Causality
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.1002008 International Conference on BioM ...
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Zhenyu Zhou, Yun Jiao, Tianyu Tang, Zuhong Lu, Yijun Liu, Yonghong Chen, Mingzhou Ding, "Detecting Effective Connectivity in Human Brain using Granger Causality," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 394-398, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
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@article{ 10.1109/BMEI.2008.100,
author = {Zhenyu Zhou and Yun Jiao and Tianyu Tang and Zuhong Lu and Yijun Liu and Yonghong Chen and Mingzhou Ding},
title = {Detecting Effective Connectivity in Human Brain using Granger Causality},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {394-398},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.100},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Detecting Effective Connectivity in Human Brain using Granger Causality
SN - 978-0-7695-3118-2
SP394
EP398
A1 - Zhenyu Zhou,
A1 - Yun Jiao,
A1 - Tianyu Tang,
A1 - Zuhong Lu,
A1 - Yijun Liu,
A1 - Yonghong Chen,
A1 - Mingzhou Ding,
PY - 2008
KW - Granger causality
KW - fMRI
KW - BOLD signal
KW - connectivity
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
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 inthe 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 effectiveconnectivity studies.
Index Terms:
Granger causality, fMRI, BOLD signal, connectivity
Citation:
Zhenyu Zhou, Yun Jiao, Tianyu Tang, Zuhong Lu, Yijun Liu, Yonghong Chen, Mingzhou Ding, "Detecting Effective Connectivity in Human Brain using Granger Causality," bmei, vol. 2, pp.394-398, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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