Title: Electrophysiological signatures of resting state networks in the human brain
Authors: Mantini, Dante ×
Perrucci, Mauro Gianni
Del Gratta, Cosimo
Romani, Gian Luca
Corbetta, Maurizio #
Issue Date: Aug-2007
Series Title: Proceedings of the National Academy of Sciences of the United States of America vol:104 issue:32 pages:13170-5
Abstract: Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This baseline is characterized by slow (<0.1 Hz) fluctuations of functional imaging signals that are topographically organized in discrete brain networks, and by much faster (1-80 Hz) electrical oscillations. To investigate the relationship between hemodynamic and electrical oscillations, we have adopted a completely data-driven approach that combines information from simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Using independent component analysis on the fMRI data, we identified six widely distributed resting state networks. The blood oxygenation level-dependent signal fluctuations associated with each network were correlated with the EEG power variations of delta, theta, alpha, beta, and gamma rhythms. Each functional network was characterized by a specific electrophysiological signature that involved the combination of different brain rhythms. Moreover, the joint EEG/fMRI analysis afforded a finer physiological fractionation of brain networks in the resting human brain. This result supports for the first time in humans the coalescence of several brain rhythms within large-scale brain networks as suggested by biophysical studies.
ISSN: 0027-8424
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Mantini PNAS 2007.pdf Published 931KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science