Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis

0345971 - ÚI 2011 RIV US eng J - Článek v odborném periodiku
Hlinka, Jaroslav - Alexakis, C. - Diukova, A. - Liddle, P.F. - Auer, D.P.
Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis.
Neuroimage. Roč. 53, č. 1 (2010), s. 239-246. ISSN 1053-8119. E-ISSN 1095-9572
Grant ostatní: European Commision Fp6(XE) MEST-CT-2005-021170
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: fMRI * electroencephalography (EEG) * BOLD * resting state * low-frequency fluctuations * functional connectivity * default mode
Kód oboru RIV: FH - Neurologie, neurochirurgie, neurovědy
Impakt faktor: 5.932, rok: 2010

The study of spontaneous brain activity is gaining on importance in neuroscience. Resting state networks (RSN) are defined by synchronisation of blood oxygenation level dependent (BOLD) signal. Simultaneous EEG/fMRI has been previously used to study the neurophysiological signature of RSN by comparing EEG power with BOLD amplitude. We hypothesised that band-limited EEG power may be directly related to network specific functional connectivity (FC) of BOLD signal time courses, focusing on the default mode network (DMN). Analysing combined EEG/fMRI resting state data of 20 subjects, we showed network and frequency specific relation between RSN FC and EEG band-powers explaining 70% of DMN-FC variance, with partial correlations of DMN-FC to delta and beta power. The identified EEG pattern has been previously associated with increased alertness. The study opens a new perspective to EEG/fMRI correlation. Direct evidence was provided for a distinct neurophysiological correlate of DMN-FC.
Trvalý link: http://hdl.handle.net/11104/0187122