Electrophysiological signatures of resting state networks in the human brain

• DOI: 10.1073/pnas.0700668104
• Publication Date: 2007-08-02T01:00:31Z
• Authors: D. Mantini; M. G. Perrucci; C. Del Gratta; G. L. Romani; M. Corbetta
• Keywords: Human brain; EEG-fMRI

Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This is characterized by slow (<0.1 Hz) fluctuations functional imaging signals that are topographically organized in discrete networks, much faster (1-80 electrical oscillations. To investigate the relationship between hemodynamic oscillations, we adopted completely data-driven approach combines information from simultaneous electroencephalography (EEG) magnetic resonance (fMRI). Using independent component analysis on fMRI data, identified six widely distributed state networks. The blood oxygenation level-dependent signal associated with each network were correlated EEG power variations delta, theta, alpha, beta, gamma rhythms. Each was specific signature involved combination different Moreover, joint EEG/fMRI afforded finer physiological fractionation networks human brain. result supports for first time humans coalescence several rhythms within large-scale as suggested biophysical studies.