Application of Partial Directed Coherence to the Analysis of Resting-State EEG-fMRI Data

• DOI: 10.1089/brain.2012.0135
• Publication Date: 2013-05-31T12:44:49Z
• Authors: Claudinei E. Biazoli; Marcio Sturzbecher; Thomas P. White; Heloisa Helena do...; Katia Cristine An...; Draulio B. de Araujo; João R. Sato
• Keywords: EEG-fMRI; Human brain

The simultaneous acquisition of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data potentially allows measurement brain signals with both high spatial temporal resolution. Partial directed coherence (PDC) is a Granger causality measure in the frequency domain, which often used to infer intensity information flow over from EEG data. In current study, we propose new approach investigate connectivity resting-state (RS) EEG-fMRI by combining time-varying PDC analysis blood oxygenation level-dependent (BOLD) signal fluctuations. Basically, aim identify circuits that are more active when increased between distinct remote neuronal modules. usefulness proposed method illustrated application simultaneously recorded healthy subjects at rest. Using this approach, decomposed nodes RS networks fMRI according band provided EEG. This therefore has potential inform our understanding regional characteristics oscillatory processes human brain.