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The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations
Open accessAbstract
Functional imaging of the resting brain consistently reveals broad motifs of correlated blood oxygen level dependent (BOLD) activity that engages cerebral regions from distinct functional systems. Yet, the neurophysiological processes underlying these organized, large-scale fluctuations remain to be uncovered. Using magnetoencephalography (MEG) imaging during rest in 12 healthy subjects we analyze the resting state networks and their underlying neurophysiology. We first demonstrate non-invasively that cortical occurrences of high-frequency oscillatory activity are conditioned to the phase of slower spontaneous fluctuations in neural ensembles. We further show that resting-state networks emerge from synchronized phase-amplitude coupling across the brain. Overall, these findings suggest a unified principle of local-to-global neural signaling for long-range brain communication.
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“and are believed to coordinate large-scale ICN organization and long-range information exchange [68, 83–91].”
From Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders (2022) · cites this paper as [90]
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Baillet, S. (2017) · Nature Neuroscience · doi:10.1038/nn.4504 · Cited by 992
Self-citationCommunication between Brain Areas Based on Nested Oscillations
Bonnefond, M., Kästner, S., & Jensen, O. B. (2017) · eNeuro · doi:10.1523/eneuro.0153-16.2017 · Cited by 302
Electrophysiological Brain Connectivity: Theory and Implementation
He, B., Astolfi, L., Valdes-Sosa, P. A., Marinazzo, D., Palva, S., Bénar, C., Michel, C. M., & Koenig, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913928 · Cited by 242
Dynamics of large-scale electrophysiological networks: A technical review
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A multi-layer network approach to MEG connectivity analysis
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Metadata
- Authors
- Florin, E., & Baillet, S.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Baillet, Sylvain
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 111
- Pages
- 26-35
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4387013
- OpenAlex
- W2025209343
- Cited by
- 184
- References
- 50
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 10 · 2023: 22 · 2022: 19 · 2021: 20 · 2020: 17 · 2019: 19 · 2018: 14 · 2017: 19 · 2016: 13 · 2015: 10
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (DFG: FL 760 2-1)
- Montreal Neurological Institute's National Bank Fellowship
- Agence Nationale pour la Recherche (ANR-BLAN08-0250)
- Killam Foundation
- National Science and Engineering Research Council of Canada
- NIH (2R01EB009048-05)
- 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, cross-frequency coupling, phase-amplitude coupling, neural oscillations, high-frequency oscillations, spontaneous neural fluctuations, magnetoencephalography
- MeSH terms
- Adult, Brain Mapping, Cerebral Cortex, Female, Humans, Male, Nerve Net, Magnetoencephalography, Young Adult
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