TY - JOUR
T1 - Temporal dynamics of spontaneous MEG activity in brain networks
AU - De Pasquale, Francesco
AU - Della Penna, Stefania
AU - Snyder, Abraham Z.
AU - Lewis, Christopher
AU - Mantini, Dante
AU - Marzetti, Laura
AU - Belardinelli, Paolo
AU - Ciancetta, Luca
AU - Pizzella, Vittorio
AU - Romani, Gian Luca
AU - Corbetta, Maurizio
PY - 2010/3/30
Y1 - 2010/3/30
N2 - Functional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restfulwakefulness are coherent within distributed large-scale cortical and subcortical networks (resting state networks, RSNs). The neuronal mechanisms underlying RSNs remain poorly understood. Here, we describe magnetoencephalographic correspondents of two well-characterized RSNs: the dorsal attention and the default mode networks. Seed-based correlation mapping was performed using time-dependent MEG power reconstructed at each voxel within the brain. The topography of RSNs computed on the basis of extended (5 min) epochs was similar to that observed with fMRI but confined to the same hemisphere as the seed region. Analyses taking into account the nonstationarity of MEG activity showed transient formation of more complete RSNs, including nodes in the contralateral hemisphere. Spectral analysis indicated that RSNs manifest in MEG as synchronous modulation of band-limited power primarily within the theta, alpha, and beta bands - that is, in frequencies slower than those associated with the local electrophysiological correlates of event-related BOLD responses.
AB - Functional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restfulwakefulness are coherent within distributed large-scale cortical and subcortical networks (resting state networks, RSNs). The neuronal mechanisms underlying RSNs remain poorly understood. Here, we describe magnetoencephalographic correspondents of two well-characterized RSNs: the dorsal attention and the default mode networks. Seed-based correlation mapping was performed using time-dependent MEG power reconstructed at each voxel within the brain. The topography of RSNs computed on the basis of extended (5 min) epochs was similar to that observed with fMRI but confined to the same hemisphere as the seed region. Analyses taking into account the nonstationarity of MEG activity showed transient formation of more complete RSNs, including nodes in the contralateral hemisphere. Spectral analysis indicated that RSNs manifest in MEG as synchronous modulation of band-limited power primarily within the theta, alpha, and beta bands - that is, in frequencies slower than those associated with the local electrophysiological correlates of event-related BOLD responses.
KW - Default mode network
KW - Dorsal attention network
KW - Functional MRI
KW - Resting state networks
UR - http://www.scopus.com/inward/record.url?scp=77950547730&partnerID=8YFLogxK
U2 - 10.1073/pnas.0913863107
DO - 10.1073/pnas.0913863107
M3 - Article
C2 - 20304792
AN - SCOPUS:77950547730
VL - 107
SP - 6040
EP - 6045
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 13
ER -