Cited by 184Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and Applications

The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations

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Florin, Esther, Baillet, Sylvain·2015·NeuroImage

Abstract

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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Crossref · 10.1016/j.neuroimage.2015.01.054

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  • Electrophysiological infraslow fluctuations are believed to coordinate large-scale intrinsic connectivity network organization and long-range information exchange.

    “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]

    The Introduction and the Discussion’s ‘Neural Network Formation with Synchronized Gating’ section support a role for synchronized slower oscillations in resting-state network formation and long-range communication. But the Introduction identifies the studied low-frequency components as delta (2–4 Hz), theta (4–8 Hz), and alpha (8–12 Hz); it does not establish the claim specifically for infraslow fluctuations. Page numbers are unavailable in our copy. (LLM, conf=0.88)

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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)
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
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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