Cited by 698Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and Applications

Temporal dynamics of spontaneous MEG activity in brain networks

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de Pasquale, Francesco, Della Penna, Stefania, Snyder, Abraham Z., Lewis, Christopher, Mantini, Dante, Marzetti, Laura, Belardinelli, Paolo, Ciancetta, Luca +3 more·2010·Proceedings of the National Academy of Sciences

Abstract

Functional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restful wakefulness 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.

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Authors
de Pasquale, F., Della Penna, S., Snyder, A. Z., Lewis, C., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G. L., & Corbetta, M.
Affiliations
  • Institute for Advanced Biomedical Technologies, G. D'Annunzio University Foundation, G. D'Annunzio University, 66100 Chieti, Italy;
  • Washington University in St. Louis (US)
  • University of Chieti-Pescara (IT)
Venue
Proceedings of the National Academy of Sciences
Published
2010-03-16
Volume
107
Issue
13
Pages
6040-6045
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2012423033
Cited by
698
References
52
Citations by year
2026: 11 · 2025: 24 · 2024: 38 · 2023: 34 · 2022: 37 · 2021: 46 · 2020: 43 · 2019: 64 · 2018: 44 · 2017: 56 · 2016: 47 · 2015: 57 · 2014: 58 · 2013: 59 · 2012: 41
FWCI
26.69
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Iris (University of Trento) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
  • UniTERAMO Research Catalog (University of Teramo) (submittedVersion)
Funders
  • National Institutes of Health (FP7/2007-2013, NS06833)
  • National Institute of Mental Health (MH7192006, R01MH071920)
  • National Institute of Neurological Disorders and Stroke (P50NS006833, NS 06833)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
resting-state networks, spontaneous neural fluctuations, dorsal attention network, default mode network, non-stationarity, theta band, alpha band, beta band, hemispheric lateralization, large-scale brain networks, temporal dynamics
MeSH terms
Adult, Attention, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Oxygen, Magnetoencephalography, Imaging, Three-Dimensional, Young Adult

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