The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Newey, W. K., & West, K. D. (1987) · Econometrica · doi:10.2307/1913610 · Cited by 16,936
A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix
Newey, W. K., & West, K. D. (1986) · National Bureau of Economic Research · doi:10.3386/t0055 · Cited by 12,682
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Tadel, F., Baillet, S., Mosher, J., Pantazis, D., & Leahy, R. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/879716 · Cited by 3,798
Self-citationFrequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Leski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H., & Einevoll, G. T. (2013) · PubMed · doi:10.18154/rwth-conv-084442 · Cited by 3,667
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140
The functional role of cross-frequency coupling
Canolty, R. T., & Knight, R. T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.09.001 · Cited by 2,101
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869
Baillet, S., Mosher, J., & Leahy, R. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.962275 · Cited by 1,846
Self-citationLakatos, P., Shah, A. S., Knuth, K. H., Ulbert, I., Karmos, G., & Schroeder, C. E. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00263.2005 · Cited by 1,281
Large-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113
Cross-frequency coupling between neuronal oscillations
Jensen, O., & Colgin, L. L. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.003 · Cited by 991
Haider, B., Duque, A., Hasenstaub, A. R., & McCormick, D. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5297-05.2006 · Cited by 962
The role of the thalamus in the flow of information to the cortex
Sherman, S. M., & Guillery, R. W. (2002) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1161 · Cited by 938
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938
Theta-gamma coupling increases during the learning of item-context associations
Tort, A. B. L., Komorowski, R. W., Manns, J. R., Kopell, N. J., & Eichenbaum, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911331106 · Cited by 919
Tort, A. B. L., Kramer, M., Thorn, C. A., Gibson, D. J., Kubota, Y., Graybiel, A. M., & Kopell, N. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810524105 · Cited by 842
Short frontal lobe connections of the human brain
Catani, M., Dell’Acqua, F., Vergani, F., Malik, F., Hodge, H., Roy, P. K., Valabrègue, R., & de Schotten, M. T. (2011) · Cortex · doi:10.1016/j.cortex.2011.12.001 · Cited by 828
Top-down processing mediated by interareal synchronization
von Stein, A., Chiang, C., & Peter König, B. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.26.14748 · Cited by 748
Temporal dynamics of spontaneous MEG activity in brain networks
de Pasquale, F., Della Penna, S., Snyder, A. Z., Lewis, C., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913863107 · Cited by 698
Raichle, M. E. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0019 · Cited by 672
A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG
Huang, M., Mosher, J. C., & Leahy, R. M. (1999) · Physics in Medicine and Biology · doi:10.1088/0031-9155/44/2/010 · Cited by 615
Shmuel, A., & Leopold, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20580 · Cited by 584
The chirplet transform: physical considerations
Mann, S., & Haykin, S. (1995) · IEEE Transactions on Signal Processing · doi:10.1109/78.482123 · Cited by 561
Suppression of Interference and Artifacts by the Signal Space Separation Method
Taulu, S., Kajola, M., & Simola, J. (2004) · Brain Topography · doi:10.1023/b:brat.0000032864.93890.f9 · Cited by 541
Kasdin, N. J. (1995) · Proceedings of the IEEE · doi:10.1109/5.381848 · Cited by 536
Voytek, B. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00191 · Cited by 423
Steriade, M., Contreras, D., Amzica, F., & Timofeev, I. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-08-02788.1996 · Cited by 404
Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
Tomasi, D., & Volkow, N. D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.003 · Cited by 363
Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
Vicente, R., Gollo, L. L., Mirasso, C. R., Fischer, I., & Pipa, G. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809353105 · Cited by 341
Gamma Power Is Phase-Locked to Posterior Alpha Activity
Osipova, D. V., Hermes, D., & Jensen, O. B. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003990 · Cited by 329
Özkurt, T. E., Butz, M., Homburger, M., Elben, S., Vesper, J., Wojtecki, L., & Schnitzler, A. (2011) · Experimental Neurology · doi:10.1016/j.expneurol.2011.02.015 · Cited by 196
Sharp edge artifacts and spurious coupling in EEG frequency comodulation measures
Kramer, M. A., Tort, A. B. L., & Kopell, N. J. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.01.020 · Cited by 195
Ongoing physiological processes in the cerebral cortex
Leopold, D. A., & Maier, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.059 · Cited by 127
A critical note on the definition of phase–amplitude cross-frequency coupling
Özkurt, T. E., & Schnitzler, A. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.08.014 · Cited by 124
Rivière, D., Geffroy, D., Denghien, I., Souedet, N., & Cointepas, Y. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71720-3 · Cited by 60
Nolte, G., & Curio, G. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.752937 · Cited by 52
Smith, K. (2012) · Nature · doi:10.1038/489356a · Cited by 34
Paving the way for cross-site pooling of magnetoencephalography (MEG) data
Weisend, M. P., Hanlon, F. M., Montaño, R., Ahlfors, S. P., Leuthold, A., Pantazis, D., Mosher, J. C., Georgopoulos, A. P., Hämäläinen, M., & Aine, C. J. (2007) · International Congress Series · doi:10.1016/j.ics.2006.12.095 · Cited by 16
Cheyne, D. O., Roß, B., Stroink, G., & Weinberg, H. (2007) · Cited by 1
Research works printed but not linked: 1
- Mann, 1991, The chirplet transform: a generalization of Gabor's logon transform, Vis. Interface, Vol. 91, 3
Cited by
Sorted by citations
Magnetoencephalography for Brain Electrophysiology and Imaging
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
O’Neill, G. C., Tewarie, P. K. B., Vidaurre, D., Liuzzi, L., Woolrich, M. W., & Brookes, M. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.003 · Cited by 225
A multi-layer network approach to MEG connectivity analysis
Brookes, M. J., Tewarie, P. K. B., Hunt, B. A. E., Robson, S. E., Gascoyne, L. E., Liddle, E. B., Liddle, P. F., & Morris, P. G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.045 · Cited by 197
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
