Title :
Extended time-frequency granger causality for evaluation of functional network connectivity in event-related FMRI data
Author :
Havlicek, M. ; Jan, J. ; Calhoun, V.D. ; Brazdil, M.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Technol. Brno, Brno, Czech Republic
Abstract :
In this article, we show that adaptive multivariate autoregressive (AMVAR) modeling accompanied by proper estimation of the delay and the width of hemodynamic response function is an effective technique for evaluation of spectral Granger causality among different functional brain networks identified by independent component analysis from event-related fMRI data. The entire concept is demonstrated on 28 subjects auditory oddball fMRI data.
Keywords :
autoregressive processes; biomedical MRI; brain; causality; haemodynamics; independent component analysis; medical signal processing; adaptive multivariate autoregressive modeling; auditory oddball fMRI data; delay estimation; event-related FMRI data; extended time-frequency Granger causality; functional brain networks; functional network connectivity; hemodynamic response function; independent component analysis; spectral Granger causality; Algorithms; Brain; Hemodynamics; Humans; Magnetic Resonance Imaging; Multivariate Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5332759
