Evaluation of Functional Network Connectivity in Event-related fMRI Data based in ICA and Time-frequency Granger Causality

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Authors	HAVLÍČEK Martin JAN Jiří CALHOUN Vince BRÁZDIL Milan MIKL Michal
Year of publication	2009
Type	Article in Proceedings
Conference	IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering
MU Faculty or unit	Faculty of Medicine
Citation
Field	Neurology, neurosurgery, neurosciences
Keywords	fMRI; ICA; spectral; Granger; adaprive
Description	In this article we show that Adaptive Multivariate Autoregressive (AMVAR) modeling accompanied by proper preprocessing is an effective technique for evaluation of spectral Granger causality among functional brain networks identified by independent component analysis from event-related fMRI data.
Related projects:	The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.