Temporal dynamics of spontaneous MEG activity in brain networks

Francesco De Pasquale, Stefania Della Penna, Abraham Z. Snyder, Christopher Lewis, Dante Mantini, Laura Marzetti, Paolo Belardinelli, Luca Ciancetta, Vittorio Pizzella, Gian Luca Romani, Maurizio Corbetta

Research output: Contribution to journalArticlepeer-review

487 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)6040-6045
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume107
Issue number13
DOIs
StatePublished - Mar 30 2010

Keywords

  • Default mode network
  • Dorsal attention network
  • Functional MRI
  • Resting state networks

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