The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Layer-Specific Entrainment of Gamma-Band Neural Activity by the Alpha Rhythm in Monkey Visual Cortex
Open accessAbstract
Although the mammalian neocortex has a clear laminar organization, layer-specific neuronal computations remain to be uncovered. Several studies suggest that gamma band activity in primary visual cortex (V1) is produced in granular and superficial layers and is associated with the processing of visual input. Oscillatory alpha band activity in deeper layers has been proposed to modulate neuronal excitability associated with changes in arousal and cognitive factors. To investigate the layer-specific interplay between these two phenomena, we characterized the coupling between alpha and gamma band activity of the local field potential in V1 of the awake macaque. Using multicontact laminar electrodes to measure spontaneous signals simultaneously from all layers of V1, we found a robust coupling between alpha phase in the deeper layers and gamma amplitude in granular and superficial layers. Moreover, the power in the two frequency bands was anticorrelated. Taken together, these findings demonstrate robust interlaminar cross-frequency coupling in the visual cortex, supporting the view that neuronal activity in the alpha frequency range phasically modulates processing in the cortical microcircuit in a top-down manner.
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“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 [70]
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Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
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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
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Oscillatory gamma activity in humans and its role in object representation
Tallon‐Baudry, C. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01299-1 · Cited by 2,205
Mitzdorf, U. (1985) · Physiological Reviews · doi:10.1152/physrev.1985.65.1.37 · Cited by 1,690
Frequency of gamma oscillations routes flow of information in the hippocampus
Colgin, L. L., Denninger, T., Fyhn, M., Hafting, T., Bonnevie, T., Jensen, O. B., Moser, M., & Moser, E. I. (2009) · Nature · doi:10.1038/nature08573 · Cited by 1,489
Self-citationMeasuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies
Tort, A. B. L., Komorowski, R. W., Eichenbaum, H., & Kopell, N. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00106.2010 · Cited by 1,454
Correlated neuronal activity and the flow of neural information
Salinas, E., & Sejnowski, T. J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35086012 · Cited by 1,333
Lakatos, 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
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Lisman, J. E., & Jensen, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.007 · Cited by 1,609
Self-citationEEG and MEG: Relevance to Neuroscience
Lopes da Silva, F. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.017 · Cited by 900
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797
Untangling cross-frequency coupling in neuroscience
Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., Singer, W., & Vicente, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.002 · Cited by 628
Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions
Hyafil, A., Giraud, A., Fontolan, L., & Gutkin, B. S. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.09.001 · Cited by 527
Metadata
- Authors
- Spaak, E., Bonnefond, M., Maier, A., Leopold, D. A., & Jensen, O.
- Affiliations
- Radboud University Nijmegen (NL)
- National Institutes of Health (US)
- Corresponding author
- Jensen, Ole
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 22
- Issue
- 24
- Pages
- 2313-2318
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC3528834
- OpenAlex
- W2050506578
- Cited by
- 385
- References
- 44
- Citations by year
- 2026: 23 · 2025: 31 · 2024: 26 · 2023: 17 · 2022: 25 · 2021: 30 · 2020: 33 · 2019: 39 · 2018: 30 · 2017: 25 · 2016: 28 · 2015: 35 · 2014: 27 · 2013: 15
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- Fondation Fyssen
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (453-09-002)
- National Institutes of Health (ZIA-MH002838)
- National Institute of Mental Health (ZIAMH002838, ZIAMH002898)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- cross-frequency coupling, primary visual cortex, cortical layers, laminar organization, gamma oscillations, alpha rhythm, local field potentials, macaque, top-down modulation, neuronal excitability, spontaneous neuronal activity
- MeSH terms
- Animals, Haplorhini, Electrodes, Neurons, Visual Cortex
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