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Extended time-frequency Granger causality for evaluation of functional network connectivity in event-related FMRI data
M. Havlicek, J. Jan, VD. Calhoun, M. Brazdil
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Odkazy
PubMed
19963833
DOI
10.1109/iembs.2009.5332759
Knihovny.cz E-zdroje
- MeSH
- algoritmy MeSH
- hemodynamika MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- mozek fyziologie MeSH
- multivariační analýza MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
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.
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