The DOI matches its Crossref record; 170 of the 172 references it cites were found in a registry or an index.
Mechanisms of Gamma Oscillations
Open accessAbstract
Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.
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
“a characteristic functional pattern depending on synaptic inhibition onto PV-expressing cells (Buzsáki and Wang, 2012).”
From Perineuronal Nets Regulate the Inhibitory Perisomatic Input onto Parvalbumin Interneurons and γ Activity in the Prefrontal Cortex (2020) · cites this paper as Buzsáki and Wang, 2012
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“A large body of experimental and computer modeling work has suggested essential roles of GABAergic neurons in the generation of cortical fast oscillations”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as Buzsaki and Wang, 2012
The cited source says what the claim attributes to it.
In the citing paper
“a rhythm inextricably tied to perisomatic inhibition (Buzsáki and Wang, 2012)”
From Perineuronal Nets Regulate the Inhibitory Perisomatic Input onto Parvalbumin Interneurons and γ Activity in the Prefrontal Cortex (2020) · cites this paper as Buzsáki and Wang, 2012
In the citing paper
“They help to create and maintain gamma oscillations, which are high-frequency waves between 20 and 100 Hz [66,75].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [75]
In the citing paper
“In addition, PV-INs connect to many principal neurons [74,75,87,88].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [75]
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
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Self-citationBuzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Self-citationThe 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
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832
Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons
Wilson, H. R., & Cowan, J. D. (1972) · Biophysical Journal · doi:10.1016/s0006-3495(72)86068-5 · Cited by 3,579
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,462
Self-citationDynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Research works printed but not linked: 1
- Das NN, 1955, Electroencephalogr. Clin. Neurophysiol., 6, 211
Cited by
Sorted by citations
Items 301–400 of 1,006
Kitchigina, V. F. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00036 · Cited by 88
Turrini, S., Wong, B., Eldaief, M. C., Press, D. Z., Sinclair, D. A., Koch, G., Avenanti, A., & Santarnecchi, E. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101939 · Cited by 88
Sinclair, D., Featherstone, R. E., Naschek, M. J., Nam, A. J., Du, A., Wright, S., Pance, K., Melnychenko, O., Weger, R., Akuzawa, S., et al. (2017) · eNeuro · doi:10.1523/eneuro.0380-16.2017 · Cited by 88
Dienel, S. J., Schoonover, K. E., & Lewis, D. A. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.03.002 · Cited by 87
Zeng, K., Li, Z., Xia, X., Wang, Z., Darmani, G., Li, X., & Chen, R. E. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.03.001 · Cited by 87
Dann, B., Michaels, J. A., Schaffelhofer, S., & Scherberger, H. (2016) · eLife · doi:10.7554/elife.15719 · Cited by 87
Neural Correlates of Wakefulness, Sleep, and General Anesthesia
Pal, D., Silverstein, B. H., Lee, H., & Mashour, G. A. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001342 · Cited by 87
Cross-Frequency Coupling and Intelligent Neuromodulation
Yeh, C.-H., Zhang, C., Shi, W., Lo, M., Tinkhauser, G., & Oswal, A. (2023) · Cyborg and Bionic Systems · doi:10.34133/cbsystems.0034 · Cited by 86
Computational Mechanisms of Pulse-Coupled Neural Networks: A Comprehensive Review
Zhan, K., Shi, J., Wang, H., Xie, Y., & Li, Q. (2016) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-016-9182-3 · Cited by 86
Voltage imaging to understand connections and functions of neuronal circuits
Antic, S. D., Empson, R. M., & Knöpfel, T. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00226.2016 · Cited by 85
Multiple gamma rhythms carry distinct spatial frequency information in primary visual cortex
Han, C., Wang, T., Yang, Y., Wu, Y., Li, Y., Dai, W., Zhang, Y., Wang, B., Yang, G., Cao, Z., et al. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001466 · Cited by 85
Glutamate and Choline Levels Predict Individual Differences in Reading Ability in Emergent Readers
Pugh, K. R., Frost, S. J., Rothman, D. L., Hoeft, F., Tufo, S. N. D., Mason, G. F., Molfese, P. J., Mencl, W. E., Grigorenko, E. L., Landi, N., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3907-13.2014 · Cited by 85
Dysregulated oscillatory connectivity in the visual system in autism spectrum disorder
Seymour, R. A., Rippon, G., Gooding-Williams, G., Schoffelen, J. M., & Kessler, K. (2019) · Brain · doi:10.1093/brain/awz214 · Cited by 84
Hollnagel, J., Elzoheiry, S., Gorgas, K., Kins, S., Beretta, C. A., Kirsch, J., Kuhse, J., Kann, O., & Kiss, É. (2019) · PLoS ONE · doi:10.1371/journal.pone.0209228 · Cited by 84
Javitt, D. C., Siegel, S. J., Spencer, K., Mathalon, D. H., Hong, L. E., Martínez, A., Ehlers, C. L., Abbas, A. I., Teichert, T., Lakatos, P., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0697-9 · Cited by 84
Veit, J., Handy, G., Mossing, D. P., Doiron, B., & Adesnik, H. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.036 · Cited by 84
The brain dynamics of linguistic computation
Murphy, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01515 · Cited by 84
Transient oxytocin signaling primes the development and function of excitatory hippocampal neurons
Ripamonti, S., Ambrozkiewicz, M. C., Guzzi, F., Gravati, M., Biella, G. R., Bormuth, I., Hammer, M., Tuffy, L. P., Sigler, A., Kawabe, H., et al. (2017) · eLife · doi:10.7554/elife.22466 · Cited by 84
Lin, W.-C., Tsai, M., Davenport, C. M., Smith, C. M., Veit, J., Wilson, N. M., Adesnik, H., & Krämer, R. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.026 · Cited by 83
The emerging field of non-invasive brain stimulation in Alzheimer’s disease
Koch, G., Altomare, D., Benussi, A., Bréchet, L., Casula, E. P., Dodich, A., Pievani, M., Santarnecchi, E., & Frisoni, G. B. (2024) · Brain · doi:10.1093/brain/awae292 · Cited by 83
Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces
Andersen, R. A., Kellis, S., Klaes, C., & Aflalo, T. (2014) · Current Biology · doi:10.1016/j.cub.2014.07.068 · Cited by 83
Neuregulin 3 promotes excitatory synapse formation on hippocampal interneurons
Müller, T. H., Braud, S., Jüttner, R., Voigt, B. C., Paulick, K., Sheean, M. E., Klisch, C., Güneykaya, D., Rathjen, F. G., Geiger, J. R., et al. (2018) · The EMBO Journal · doi:10.15252/embj.201798858 · Cited by 83
A Quantitative Electrophysiological Biomarker of Duplication 15q11.2-q13.1 Syndrome
Frohlich, J., Şentürk, D., Saravanapandian, V., Golshani, P., Reiter, L. T., Sankar, R., Thibert, R. L., DiStefano, C., Huberty, S., Cook, E. H., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167179 · Cited by 82
A Canonical Circuit for Generating Phase-Amplitude Coupling
Onslow, A. C. E., Jones, M. W., & Bogacz, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102591 · Cited by 82
Comparison of connectivity analyses for resting state EEG data
Olejarczyk, E., Marzetti, L., Pizzella, V., & Zappasodi, F. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6401 · Cited by 82
Reorganization of cortical oscillatory dynamics underlying disinhibition in frontotemporal dementia
Hughes, L. E., Rittman, T., Robbins, T. W., & Rowe, J. B. (2018) · Brain · doi:10.1093/brain/awy176 · Cited by 81
The yin and yang of sleep and attention
Kirszenblat, L., & van Swinderen, B. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.10.001 · Cited by 81
For things needing your attention: the role of neocortical gamma in sensory perception
Pritchett, D. L., Siegle, J. H., Deister, C. A., & Moore, C. I. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.02.004 · Cited by 81
Frequency-difference-dependent stochastic resonance in neural systems
Guo, D., Perc, M., Zhang, Y., Xu, P., & Yao, D. (2017) · Physical review. E · doi:10.1103/physreve.96.022415 · Cited by 81
Shared and connection-specific intrinsic interactions in the default mode network
Samogin, J., Liu, Q., Marino, M., Wenderoth, N., & Mantini, D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.07.007 · Cited by 81
Neurophysiological signatures of cortical micro-architecture
Shafiei, G., Fulcher, B., Voytek, B., Satterthwaite, T. D., Baillet, S., & Mišić, B. (2023) · Nature Communications · doi:10.1038/s41467-023-41689-6 · Cited by 81
Wilson, T. W., McDermott, T. J., Mills, M. S., Coolidge, N. M., & Heinrichs‐Graham, E. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx055 · Cited by 81
Developmental Changes in EEG Phenotypes in a Mouse Model of Fragile X Syndrome
Wen, T. H., Lovelace, J. W., Ethell, I. M., Binder, D. K., & Razak, K. A. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.11.047 · Cited by 81
The salience network dynamics in perceptual decision-making
Chand, G. B., & Dhamala, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.018 · Cited by 80
Visual physiology of the layer 4 cortical circuit in silico
Arkhipov, A. S., Gouwens, N. W., Billeh, Y. N., Gratiy, S. L., Iyer, R., Wei, Z., Xu, Z., Abbasi-Asl, R., Berg, J., Buice, M. A., et al. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006535 · Cited by 80
Rhythmic Spontaneous Activity Mediates the Age-Related Decline in Somatosensory Function
Spooner, R. K., Wiesman, A. I., Proskovec, A. L., Heinrichs‐Graham, E., & Wilson, T. W. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx349 · Cited by 80
Kanta, V., Paré, D., & Headley, D. B. (2019) · Nature Communications · doi:10.1038/s41467-019-11938-8 · Cited by 80
Maturation of auditory neural processes in autism spectrum disorder — A longitudinal MEG study
Port, R. G., Edgar, J. C., Ku, M., Bloy, L., Murray, R., Blaskey, L., Levy, S. E., & Roberts, T. P. L. (2016) · NeuroImage: Clinical · doi:10.1016/j.nicl.2016.03.021 · Cited by 79
Sinha, M., & Narayanan, R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419017112 · Cited by 79
Carroll, L., Braeutigam, S., Dawes, J. M., Krsnik, Ž., Kostović, I., Coutinho, E., Dewing, J. M., Horton, C. A., Gómez‐Nicola, D., & Menassa, D. A. (2020) · The Neuroscientist · doi:10.1177/1073858420921378 · Cited by 79
Network Asynchrony Underlying Increased Broadband Gamma Power
Guyon, N., Zacharias, L. R., de Oliveira, E. F., Kim, H., Leite, J. P., Lopes‐Aguiar, C., & Carlén, M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2250-20.2021 · Cited by 79
Parvalbumin interneuron deficits in schizophrenia
Marín, Ó. (2024) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2024.02.010 · Cited by 79
Recognition memory and theta–gamma interactions in the hippocampus
Trimper, J. B., Stefanescu, R. A., & Manns, J. R. (2013) · Hippocampus · doi:10.1002/hipo.22228 · Cited by 79
Zheng, C., Bieri, K. W., Trettel, S. G., & Colgin, L. L. (2015) · Hippocampus · doi:10.1002/hipo.22415 · Cited by 79
Degeneracy in hippocampal physiology and plasticity
Rathour, R. K., & Narayanan, R. (2019) · Hippocampus · doi:10.1002/hipo.23139 · Cited by 78
Gaming disorder and internet addiction: A systematic review of resting-state EEG studies
Burleigh, T. L., Griffiths, M. D., Sumich, A. L., Wang, G., & Kuss, D. J. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106429 · Cited by 78
Lindeman, S., Hong, S., Kros, L., Mejías, J. F., Romano, V., Oostenveld, R., Negrello, M., Bosman, L. W. J., & Zeeuw, C. I. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015292118 · Cited by 78
Control of recollection by slow gamma dominating mid-frequency gamma in hippocampus CA1
Dvořák, D., Radwan, B., Sparks, F. T., Talbot, Z. N., & Fenton, A. A. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003354 · Cited by 78
Primate optogenetics: Progress and prognosis
El-Shamayleh, Y., & Horwitz, G. D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902284116 · Cited by 78
Basal forebrain contributes to default mode network regulation
Nair, J., Klaassen, A.-L., Arato, J., Vyssotski, A. L., Harvey, M., & Rainer, G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712431115 · Cited by 77
Bidirectional GABAergic control of action potential firing in newborn hippocampal granule cells
Heigele, S., Sultan, S., Toni, N., & Bischofberger, J. (2016) · Nature Neuroscience · doi:10.1038/nn.4218 · Cited by 77
Alterations in resting-state gamma activity in patients with schizophrenia: a high-density EEG study
Baradits, M., Kakuszi, B., Bálint, S., Fullajtár, M., Mód, L., Bitter, I., & Czobor, P. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0889-z · Cited by 77
Jakkamsetti, V., Marin‐Valencia, I., Ma, Q., Good, L. B., Terrill, T., Rajasekaran, K., Pichumani, K., Khemtong, C., Hooshyar, M. A., Sundarrajan, C., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aan0457 · Cited by 77
Neural circuit dysfunction in schizophrenia: Insights from animal models
Sigurdsson, T. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.059 · Cited by 77
Rodriguez, A. V., Funk, C. M., Vyazovskiy, V. V., Nir, Y., Tononi, G., & Cirelli, C. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1614-16.2016 · Cited by 76
Robert, V., Therreau, L., Chevaleyre, V., Lepicard, E., Viollet, C., Cognet, J., Huang, A. J. Y., Boehringer, R., Polygalov, D., McHugh, T. J., et al. (2021) · eLife · doi:10.7554/elife.63352 · Cited by 76
Prefrontal single-unit firing associated with deficient extinction in mice
Fitzgerald, P. J., Whittle, N., Flynn, S., Graybeal, C., Pinard, C. R., Gunduz‐Cinar, O., Kravitz, A. V., Singewald, N., & Holmes, A. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.11.002 · Cited by 76
Fuzzo, F., Matsumoto, J., Kiyokawa, Y., Takeuchi, Y., Ono, T., & Nishijo, H. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00099 · Cited by 76
Callosal Projections Drive Neuronal-Specific Responses in the Mouse Auditory Cortex
Rock, C., & Apicella, A. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5049-14.2015 · Cited by 76
Gilbert, J. R., & Zarate, C. A. (2020) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2020.172856 · Cited by 75
Arroyo‐García, L. E., Isla, A. G., Andrade‐Talavera, Y., Balleza‐Tapia, H., Loera‐Valencia, R., Alvarez-Jimenez, L., Pizzirusso, G., Tambaro, S., Nilsson, P., & Fisahn, A. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01257-0 · Cited by 75
Effects of the indoor environment on EEG and thermal comfort assessment in males
Pan, L., Zheng, H., & Li, T. (2022) · Building and Environment · doi:10.1016/j.buildenv.2022.109761 · Cited by 75
KCNQ5 K+ channels control hippocampal synaptic inhibition and fast network oscillations
Fidzinski, P., Korotkova, T. M., Heidenreich, M., Maier, N., Schuetze, S., Kobler, O., Zuschratter, W., Schmitz, D., Ponomarenko, A. A., & Jentsch, T. J. (2015) · Nature Communications · doi:10.1038/ncomms7254 · Cited by 75
New perspectives on the auditory cortex
Weinberger, N. M. (2015) · Handbook of clinical neurology · doi:10.1016/b978-0-444-62630-1.00007-x · Cited by 75
Dynamic modulation of theta–gamma coupling during rapid eye movement sleep
Bandarabadi, M., Boyce, R., Herrera, C. G., Bassetti, C. L., Williams, S., Schindler, K. A., & Adamantidis, A. (2019) · SLEEP · doi:10.1093/sleep/zsz182 · Cited by 75
Cognitive and Physiologic Impacts of the Infraslow Oscillation
Watson, B. O. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00044 · Cited by 74
Gamma tACS over the temporal lobe increases the occurrence of Eureka! moments
Santarnecchi, E., Sprugnoli, G., Bricolo, E., Costantini, G., Liew, S., Musaeus, C. S., Salvi, C., Pascual‐Leone, Á., Rossi, A., & Rossi, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-42192-z · Cited by 74
The Medial Septum as a Potential Target for Treating Brain Disorders Associated With Oscillopathies
Takeuchi, Y., Nagy, A. J., Barcsai, L., Li, Q., Ohsawa, M., Mizuseki, K., & Berényi, A. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.701080 · Cited by 74
Murty, D. V. P. S., Manikandan, K., Kumar, W. S., Ramesh, R. G., Purokayastha, S., Nagendra, B., Abhishek, M. L., Balakrishnan, A., Javali, M., Rao, N. P., et al. (2021) · eLife · doi:10.7554/elife.61666 · Cited by 74
Tan, H. M., Groß, J., & Uhlhaas, P. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.055 · Cited by 74
Dopamine, cognitive function, and gamma oscillations: role of D4 receptors
Furth, K. E., Mastwal, S. S., Wang, K. H., Buonanno, A., & Vullhorst, D. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00102 · Cited by 74
Shaping inhibition: activity dependent structural plasticity of GABAergic synapses
Flores, C. E., & Méndez, P. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00327 · Cited by 74
Vinck, M. A., & Bosman, C. A. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00035 · Cited by 74
Perineuronal nets control visual input via thalamic recruitment of cortical PV interneurons
Faini, G., Aguirre, A., Landi, S., Lamers, D., Pizzorusso, T., Ratto, G. M., Deleuze, C., & Bacci, A. (2018) · eLife · doi:10.7554/elife.41520 · Cited by 74
Cortical Circuits of Callosal GABAergic Neurons
Rock, C., Zurita, H., Lebby, S., Wilson, C. J., & Apicella, A. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx025 · Cited by 73
Johnston, J. N., Kadriu, B., Allen, J., Gilbert, J. R., Henter, I. D., & Zarate, C. A. (2023) · Neuropharmacology · doi:10.1016/j.neuropharm.2023.109422 · Cited by 73
Neocortical calretinin neurons in primates: increase in proportion and microcircuitry structure
aja, D. D. ⁄., Hladnik, A., Bičanić, I., Baković, M., & Petanjek, Z. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00103 · Cited by 73
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models
Segneri, M., Bi, H., Olmi, S., & Torcini, A. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00047 · Cited by 73
Hippocampal network oscillations at the interplay between innate anxiety and learned fear
Çalışkan, G., & Stork, O. (2019) · Psychopharmacology · doi:10.1007/s00213-018-5109-z · Cited by 72
Translational use of event-related potentials to assess circuit integrity in ASD
Modi, M. E., & Şahin, M. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.15 · Cited by 72
Opto‐E‐Dura: A Soft, Stretchable ECoG Array for Multimodal, Multiscale Neuroscience
Renz, A. F., Lee, J., Tybrandt, K., Brzezinski, M., Lorenzo, D. A., Cheraka, M. C., Lee, J., Helmchen, F., Vörös, J., & Lewis, C. M. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.202000814 · Cited by 72
It’s All in the Rhythm: The Role of Cannabinoids in Neural Oscillations and Psychosis
Skosnik, P. D., Cortes-Briones, J., & Hajós, M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.011 · Cited by 72
Functional Synchronization: The Emergence of Coordinated Activity in Human Systems
Nowak, A. K., Vallacher, R. R., Żochowski, M., & Rychwalska, A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00945 · Cited by 72
Balleza‐Tapia, H., Crux, S., Andrade‐Talavera, Y., Dolz-Gaitón, P., Papadia, D., Chen, G., Johansson, J., & Fisahn, A. (2018) · eLife · doi:10.7554/elife.37703 · Cited by 72
Nguyen, R., Venkatesan, S., Binko, M. A., Bang, J. Y., Cajanding, J. D., Briggs, C., Sargin, D., Imayoshi, I., Lambe, E. K., & Kim, J. C. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1919-19.2020 · Cited by 72
Neuronal dynamics enable the functional differentiation of resting state networks in the human brain
Marino, M., Liu, Q., Samogin, J., Tecchio, F., Cottone, C., Mantini, D., & Porcaro, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.24458 · Cited by 71
Predictive coding of natural images by V1 firing rates and rhythmic synchronization
Uran, C., Peter, A., Lazăr, A., Barnes, W., Klon-Lipok, J., Shapcott, K. A., Roese, R., Fries, P., Singer, W., & Vinck, M. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.002 · Cited by 71
Aljeradat, B., Kumar, D., Abdulmuizz, S., Kundu, M., Almealawy, Y. F., Batarseh, D. R., Atallah, O., Ennabe, M., Alsarafandi, M., Alan, A., et al. (2024) · Pathophysiology · doi:10.3390/pathophysiology31020019 · Cited by 71
Uliana, D. L., Lisboa, J. R., Gomes, F. V., & Grace, A. A. (2024) · Biochemical Pharmacology · doi:10.1016/j.bcp.2024.116298 · Cited by 71
Michelson, N. J., & Kozai, T. D. Y. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00299.2018 · Cited by 71
Modulation of Motor Learning Capacity by Transcranial Alternating Current Stimulation
Sugata, H., Yagi, K., Yazawa, S., Nagase, Y., Tsuruta, K., Ikeda, T., Matsushita, K., Hara, M., Kawakami, K., & Kawakami, K. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.09.013 · Cited by 71
Dumont, G., & Gutkin, B. S. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007019 · Cited by 71
Δ9-THC Disrupts Gamma (γ)-Band Neural Oscillations in Humans
Cortes-Briones, J., Skosnik, P. D., Mathalon, D. H., Cahill, J. D., Pittman, B. P., Williams, A. H., Sewell, R. A., Ranganathan, M., Roach, B. J., Ford, J. M., et al. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.53 · Cited by 70
Woźniak-Kwaśniewska, A., Székely, D. L., Aussedat, P., Bougerol, T., & Olivier David, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.029 · Cited by 70
Membrane Resonance Enables Stable and Robust Gamma Oscillations
Moca, V. V., Nikolić, D., Singer, W., & Muresan, R. C. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs293 · Cited by 70
Neural oscillations as a signature of efficient coding in the presence of synaptic delays
Chalk, M., Gutkin, B. S., & Denève, S. (2016) · eLife · doi:10.7554/elife.13824 · Cited by 70
Early Cortical Changes in Gamma Oscillations in Alzheimer’s Disease
Klein, A. S., Donoso, J. R., Kempter, R., Schmitz, D., & Beed, P. S. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00083 · Cited by 70
Kessler, K., Seymour, R. A., & Rippon, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.002 · Cited by 69
Dikmen, H. O., Hemmerich, M., Lewen, A., Hollnagel, J., Chausse, B., & Kann, O. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01903-4 · Cited by 69
Han, C., Wang, T., Wu, Y., Li, Y., Yang, Y., Li, L., Wang, Y., & Xing, D. (2021) · Neural Plasticity · doi:10.1155/2021/8874516 · Cited by 69
Metadata
- Authors
- Buzsáki, G., & Wang, X.-J.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Yale University (US)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2012-07-21
- Volume
- 35
- Issue
- 1
- Pages
- 203-225
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC4049541
- OpenAlex
- W2162013747
- Cited by
- 2,796
- References
- 172
- Citations by year
- 2026: 221 · 2025: 273 · 2024: 226 · 2023: 220 · 2022: 216 · 2021: 262 · 2020: 233 · 2019: 212 · 2018: 208 · 2017: 187 · 2016: 149 · 2015: 153 · 2014: 122 · 2013: 94 · 2012: 20
- FWCI
- 9.53
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH054671, R01MH062349, MH54671)
- National Institute of Neurological Disorders and Stroke (R01NS034994, NS034994)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Keywords
- gamma oscillations, rhythmogenesis, perisomatic inhibition, excitation-inhibition balance, local field potentials, cross-frequency coupling, slow oscillations, cortical circuits, neural population dynamics, sleep, waking state
- MeSH terms
- Action Potentials, Animals, Brain, Humans, Membrane Potentials, Models, Neurological, Neural Inhibition, Neural Pathways, 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