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Detecting directional influence in fMRI connectivity analysis using PCA based Granger causality

A fMRI connectivity analysis approach combining both principal component analysis (PCA) and Granger causality method (GCM) is proposed to study directional influence between functional brain regions. Both simulated data and human fMRI data obtained during behavioral tasks were used to validate this...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Zhou, Zhenyu, Ding, Mingzhou, Chen, Yonghong, Wright, Paul, Lu, Zuhong, Liu, Yijun
פורמט: Artigo
שפה:Inglês
יצא לאור: 2009
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC2730503/
https://ncbi.nlm.nih.gov/pubmed/19595679
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.brainres.2009.06.096
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