The DOI matches its Crossref record; 78 of the 79 references it cites were found in a registry or an index.
The Phase of Thalamic Alpha Activity Modulates Cortical Gamma-Band Activity: Evidence from Resting-State MEG Recordings
Open accessAbstract
Recent findings have implicated thalamic alpha oscillations in the phasic modulation of cortical activity. However, the precise relationship between thalamic alpha oscillations and neocortical activity remains unclear. Here we show in a large sample of healthy human participants ( n = 45) using spatial filtering techniques and measures of phase amplitude coupling that the amplitude of gamma-band activity in posterior medial parietal cortex is modulated by the phase of thalamic alpha oscillations during eyes-closed resting-state recordings. In addition, our findings show that gamma-band activity in visual cortex was not modulated by thalamic alpha oscillations but coupled to the phase of strong cortical alpha activity. To overcome the limitations of electromagnetic source localization we estimated conduction delays using transfer entropy and found nonspurious information transfer from thalamus to cortex. The present findings provide novel evidence for magneto-encephalography-measured phase coupling between cortical gamma-band activity and thalamic alpha oscillations, which highlight the role of phasic inhibition in the coordination of cortical activity.
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?
In the citing paper
“there is evidence in this study [57] and others [70,71] for alpha–gamma cross-frequency coupling, thus forging a link between the two mechanisms considered so far.”
From Cerebral hierarchies: predictive processing, precision and the pulvinar (2015) · cites this paper as [71]
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
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
Kraskov, A., Stögbauer, H., & Grassberger, P. (2004) · Physical Review E · doi:10.1103/physreve.69.066138 · Cited by 4,419
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890
Research works printed but not linked: 1
- Attal, 2007, Modeling and detecting deep brain activity with MEG and EEG, Conf Proc IEEE Eng Med Biol Soc, 2007, 4937
Cited by
Sorted by citations
Items 101–168 of 168
Grandi, L. C., Kaelin‐Lang, A., Orbán, G., Song, W., Salvadè, A., Stefani, A., Giovanni, G. D., & Galati, S. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00663 · Cited by 15
Altered neuromagnetic activity in default mode network in childhood absence epilepsy
Wang, Y., Li, Y., Sun, F., Xu, Y., Xu, F., Wang, S., & Wang, X. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1133064 · Cited by 14
Thalamocortical interactions underlying visual fear conditioning in humans
Lithari, C. D., Moratti, S., & Weisz, N. (2015) · Human Brain Mapping · doi:10.1002/hbm.22940 · Cited by 18
Genuine cross-frequency coupling networks in human resting-state electrophysiological recordingsPreprint
Siebenhühner, F., Wang, S. H., Arnulfo, G., Lampinen, A., Nobili, L., Palva, J. M., & Palva, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/547638 · Cited by 13
Gohel, B., Lim, S., Kim, M., An, K., Kim, J., Kwon, H., & Kim, K. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00120 · Cited by 12
Suppression of Low-Frequency Gamma Oscillations by Activation of 40-Hz Oscillation
Sugiyama, S., Taniguchi, T., Kinukawa, T. A., Takeuchi, N., Ohi, K., Shioiri, T., Nishihara, M., & Inui, K. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab381 · Cited by 11
Trajectory of frequency stability in typical development
Frohlich, J., Andrei Irimia, A., & Jeste, S. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-014-9339-3 · Cited by 10
Jajcay, N., Cakan, C., & Obermayer, K. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.769860 · Cited by 7
Sauer, A., Grent-‘t-Jong, T., Wibral, M., Grube, M., Singer, W., & Uhlhaas, P. J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.561973 · Cited by 11
Self-citationWendling, F., Congendo, M., & Lopes, F. H. D. S. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190228484.003.0044 · Cited by 9
Thalamo-cortical cross-frequency coupling detected with MEG
van Wijk, B. C. M., & FitzGerald, T. H. B. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00187 · Cited by 8
Chan, H.-L., Low, I., Chen, L., Chen, Y., Chu, I.-T., & Hsieh, J. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abed83 · Cited by 8
Mizuhara, H., Sato, N., & Yamaguchi, Y. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.019 · Cited by 8
Darmon, D. M. (2018) · Physical review. E · doi:10.1103/physreve.97.032206 · Cited by 8
Hua, L., Recasens, M., Grent-‘t-Jong, T., Adams, R. A., Groß, J., & Uhlhaas, P. J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25134 · Cited by 7
Self-citationÇelikok, U., Navarro-López, E. M., & Şengör, N. S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1601.07740 · Cited by 8
Thalamo-cortical network is associated with harmaline-induced tremor in rodent model
Lee, J., Kim, J., Cortez, J., & Chang, S.-Y. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114210 · Cited by 7
Intracerebral Sources Reconstructed on the Basis of High-Resolution Scalp EEG and MEG
Lopes, F. H. D. S. (2019) · Brain Topography · doi:10.1007/s10548-019-00717-9 · Cited by 7
Zauli, F. M., Vecchio, M. D., Pigorini, A., Russo, S., Massimini, M., Sartori, I., Cardinale, F., d’Orio, P., & Mikulan, E. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110193 · Cited by 6
Hua, L., Adams, R. A., Grent-‘t-Jong, T., Gajwani, R., Groß, J., Gumley, A. I., Krishnadas, R., Lawrie, S. M., Schultze‐Lutter, F., Schwannauer, M., et al. (2023) · Schizophrenia · doi:10.1038/s41537-023-00341-4 · Cited by 7
Self-citationData-driven causal analysis of observational time series in ecologyPreprint
Yuan, A. E., & Shou, W. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.03.233692 · Cited by 7
Sekihara, K., Adachi, Y., Kubota, H. K., Cai, C., & Nagarajan, S. S. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab5bd · Cited by 5
Investigating the effects of pre-stimulus cortical oscillatory activity on behavior
van Es, M. W. J., Groß, J., & Schoffelen, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117351 · Cited by 5
Yokota, H., Otsuru, N., Saito, K., Kojima, S., Miyaguchi, S., Inukai, Y., Nagasaka, K., & Onishi, H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.576526 · Cited by 5
A Review of Mental Stress and EEG Band Power
(2022) · International Journal of Nanotechnology and Nanomedicine · doi:10.33140/ijnn.07.02.01 · Cited by 6
Listening for the rhythm of a conscious brain
Sokoliuk, R., & Cruse, D. (2018) · Brain · doi:10.1093/brain/awy267 · Cited by 5
Mariscal, M. G., Levin, A. R., Gabard-Durnam, L. J., Tager-Flusberg, H. B., & Nelson, C. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/818583 · Cited by 5
Resonant hierarchies: a multiscale framework for oscillatory dynamics in the brain
Snyder, A. C. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1704370 · Cited by 3
Individual differences in conditioned pain modulation are associated with alpha oscillations
El‐Sayed, R., Sanmugananthan, V. V., Cheng, J. C., Rogachov, A., Osborne, N. R., Besik, A., Hemington, K. S., Kim, J. A., Bosma, R. L., Mills, E. P., et al. (2025) · Pain · doi:10.1097/j.pain.0000000000003804 · Cited by 3
Beamformer-based imaging of phase-amplitude coupling using electromagnetic brain activity
Chan, H.-L., Chen, Y., Chen, L., & Baillet, S. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320141 · Cited by 3
Izutsu, N., Yanagisawa, T., Fukuma, R., & Kishima, H. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acd0d6 · Cited by 3
Li, M., Zhou, X., Wang, Y., Lu, J., Zhu, Y., Jiang, P., Hu, K., & Wang, X. (2024) · Seizure · doi:10.1016/j.seizure.2024.11.008 · Cited by 3
Ranzi, P., Freund, J. A., Thiel, C. M., & Herrmann, C. S. (2016) · Neuropsychobiology · doi:10.1159/000450711 · Cited by 3
High Gamma Cortical Processing of Continuous Speech in Younger and Older ListenersPreprint
Kulasingham, J. P., Brodbeck, C. J., Presacco, A., Kuchinsky, S. E., Anderson, S., & Simon, J. Z. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.19.883314 · Cited by 3
Exploring Deep Magnetoencephalography via Thalamo‐Cortical Sleep Spindles
Rattray, G. F., Jourde, H. R., Baillet, S., & Coffey, E. B. J. (2025) · Human Brain Mapping · doi:10.1002/hbm.70354 · Cited by 2
Distinct interacting cortical networks for stimulus-response and repetition-suppression
Eckert, D., Reichert, C., Bien, C. G., Heinze, H., Knight, R. T., Deouell, L. Y., & Dürschmid, S. (2022) · Communications Biology · doi:10.1038/s42003-022-03861-4 · Cited by 2
Gundlach, C., & Müller, M. M. (2024) · Psychophysiology · doi:10.1111/psyp.14707 · Cited by 1
Neural oscillatory dynamics of spoken word recognition
Strauß, A. (2015) · Cited by 2
Broadband neural oscillatory dynamics at stimulus onset and offset during 40-Hz auditory stimulation
Muto, Y., Sugiyama, S., Inui, K., Motomura, E., Ikegame, Y., Yano, H., Shinoda, J., Ohi, K., & Shioiri, T. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.08.031 · Cited by 1
Wang, Y., Li, M., Huang, X., Jiang, P., Zhou, X., Hu, K., & Wang, X. (2025) · Seizure · doi:10.1016/j.seizure.2025.11.020 · Cited by 1
Reichelt, A. C., Daskalakis, E., Cohen, J., Solar, K. G., Saberi, M., Ventresca, M., Ali, M., Zamyadi, R., Bhat, V., Scratch, S. E., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.2111476 · Cited by 2
Sharma, A., Liu, T., Abdi‐Sargezeh, B., Hahn, A., Shcherbakova, M., Neumann, W., Little, S. J., Starr, P. A., & Oswal, A. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106293 · Cited by 1
Pulvinar Structure, Circuitry & Function in Primates☆
Shipp, S. D. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.04740-1 · Cited by 1
Thalamo-Cortical Interactions and Synchronous Oscillations in MEG Data
Uhlhaas, P. J., & Roux, F. (2016) · Springer eBooks · doi:10.1007/978-3-319-32265-0_5 · Cited by 1
Self-citationAlpha Phase Is Regulated by Gamma Power in Mouse Hippocampus
Zhang, T., Xu, X., & Yang, Z. R. (2018) · Advances in cognitive neurodynamics · doi:10.1007/978-981-10-8854-4_43 · Cited by 1
Chu, W.-L., Huang, M., Tsai, T.-N., & Chang, Q.-W. (2020) · Sensors and Materials · doi:10.18494/sam.2020.3106 · Cited by 1
Magnetoencephalography-detected Phase-amplitude Coupling in Parkinson DiseasePreprint
Tanaka, M., Yanagisawa, T., Fukuma, R., Tani, N., Oshino, S., Mihara, M., Hattori, N., Kajiyama, Y., Hashimoto, R., Ikeda, M., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-732684/v1 · Cited by 1
Alpha Oscillations in Resisting DistractionPreprint
Bonnefond, M., & Jensen, O. B. (2024) · doi:10.31219/osf.io/v79dk · Cited by 1
Reichelt, A. C., Daskalakis, E., Cohen, J., Solar, K. G., Saberi, M., Ventresca, M., Ali, M., Zamyadi, R., Scratch, S. E., Hamilton, J. K., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.18.590064 · Cited by 1
Nonlinear models for neurophysiological time series
la Tour, T. D. (2018) · doi:10.70675/ca8e6c8czfc14z418ez92b9z6bb7bc202f94 · Cited by 1
Not a slave to the rhythm: the perceptual consequences of rhythmic visual stimulation
Kerlin, J. R. (2015) · University of Birmingham Institutional Research Archive (University of Birmingham) · doi:10.13140/rg.2.2.19877.09447
For Peer Review Alpha oscillatory dynamics index temporal expectation benefits in working memory
Henry, M. J., Herrmann, B., Maeß, B., & Obleser, J. (2014)
Characterization of dynamical neural activity by means of EEG data: application to schizophrenia
Matarranz, A. B. (2017) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/39719
Magnetoencephalographical Research in Schizophrenia: Current Status and Perspectives
Hua, L., Grent-‘t-Jong, T., & Uhlhaas, P. J. (2020) · Springer eBooks · doi:10.1007/978-3-030-35206-6_12
Self-citationInvestigating the effects of pre-stimulus cortical synchrony on behaviorPreprint
van Es, M. W. J., Groß, J., & Schoffelen, J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.27.967463
du Bois, N., Sánchez‐Bornot, J. M., Rathee, D., Wong‐Lin, K., Elliott, M. A., & Prasad, G. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.03.446932
Tracking selective attention in a musical cocktail
Manting, C. L. (2021) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/153714
Pedapati, E. V., Sweeney, J. A., Schmitt, L., Ethridge, L. E., Miyakoshi, M., Liu, R., Smith, E. G., Shaffer, R. C., Wu, S. W., Gilbert, D. L., et al. (2022) · medRxiv · doi:10.1101/2022.02.24.22271485
Ehrlich, D. J., & Osterholt, T. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736524761.793567517
Exarchos, T. P., Whelan, R., & Tarnanas, I. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-31982-2_1
RetractedNetwork mechanisms in rapid-onset dystonia-parkinsonism
Möller, M., Nieweler, J., Nikulin, V. V., & van Riesen, C. (2025) · Experimental Neurology · doi:10.1016/j.expneurol.2025.115491
Cui, K., Zhang, L., Jiang, H., Wu, Z., Tian, F., Zhao, M., Zhao, Q., & Hu, B. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.134844
Abnormal hippocampo-cortical theta-gamma phase-amplitude coupling in Alzheimer’s diseasePreprint
Baradarantohidi, E., Nagarajan, S. S., Ranasinghe, K. G., & Haufe, S. (2026) · medRxiv · doi:10.64898/2026.02.06.26345635
Entropic measures of connectivity with an application to intracerebral epileptic signals
Zhu, J. (2016) · theses.fr (ABES) · doi:10.70675/4999f639zef40z44f4z8617z8d4d3e129bb5
Babo-Rebelo, M. (2017) · theses.fr (ABES) · doi:10.70675/1811aa63zf6c7z4922zb08dz05dd2cee0e27
Venugopal, R., Sasidharan, A., Nagaraj, N., Udupa, K., John, J. P., Ravindra, P. N., & Kutty, B. M. (2026) · Cognitive Systems Research · doi:10.1016/j.cogsys.2026.101488
How Do Similar Thalamocortical Circuits Produce Psychosis Versus Compulsivity?
Seif, P. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2026.06.007
Zhu, M., Liu, X., Guo, X., Zhang, Y., Cai, Z., Liu, S., & Ming, D. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109683
Metadata
- Authors
- Roux, F., Wibral, M., Singer, W., Aru, J., & Uhlhaas, P. J.
- Affiliations
- Goethe University Frankfurt (DE)
- Frankfurt Institute for Advanced Studies (DE)
- Ernst Strüngmann Institute for Neuroscience (DE)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-11-06
- Volume
- 33
- Issue
- 45
- Pages
- 17827-17835
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3818555
- OpenAlex
- W2030440331
- Cited by
- 169
- References
- 78
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 6 · 2023: 9 · 2022: 10 · 2021: 15 · 2020: 17 · 2019: 14 · 2018: 17 · 2017: 17 · 2016: 17 · 2015: 21 · 2014: 12 · 2013: 1
- FWCI
- 9.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- gamma oscillations, phase-amplitude coupling, visual cortex, resting-state brain activity, phasic inhibition, information transmission, transfer entropy, conduction delay, spatial filtering
- MeSH terms
- Adolescent, Adult, Alpha Rhythm, Brain Mapping, Female, Humans, Male, Parietal Lobe, Thalamus, Magnetoencephalography, Brain Waves
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
