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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.
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“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
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“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
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“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
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“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]
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“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]
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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
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Items 101–200 of 1,006
Morphological diversity and connectivity of hippocampal interneurons
Booker, S. A., & Vida, I. (2018) · Cell and Tissue Research · doi:10.1007/s00441-018-2882-2 · Cited by 210
High-frequency oscillations and the neurobiology of schizophrenia
Uhlhaas, P. J., & Singer, W. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/puhlhaas · Cited by 206
Chen, J., Song, X., & Lin, Z. (2016) · Automation in Construction · doi:10.1016/j.autcon.2015.12.018 · Cited by 204
GABAergic Inhibitory Interneuron Deficits in Alzheimer’s Disease: Implications for Treatment
Xu, Y., Zhao, M., Han, Y., & Zhang, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00660 · Cited by 203
Schaworonkow, N., & Voytek, B. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100895 · Cited by 203
Bidirectional prefrontal-hippocampal interactions support context-guided memory
Place, R., Farovik, A., Brockmann, M., & Eichenbaum, H. (2016) · Nature Neuroscience · doi:10.1038/nn.4327 · Cited by 200
Brain state dependent activity in the cortex and thalamus
McCormick, D. A., McGinley, M. J., & Salkoff, D. B. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.003 · Cited by 198
Organization of prefrontal network activity by respiration-related oscillations
Biskamp, J., Bartos, M., & Sauer, J.-F. (2017) · Scientific Reports · doi:10.1038/srep45508 · Cited by 197
A review of theta oscillation and its functional correlates
Karakaş, S. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.04.008 · Cited by 196
Parvalbumin interneuron vulnerability and brain disorders
Ruden, J. B., Dugan, L. L., & Konradi, C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0778-9 · Cited by 194
Tan, E., Troller‐Renfree, S. V., Morales, S., Buzzell, G. A., McSweeney, M., Antúnez, M., & Fox, N. A. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101404 · Cited by 193
Wnt Signaling: Role in Alzheimer Disease and Schizophrenia
Inestrosa, N. C., Montecinos-Oliva, C., & Fuenzalida, M. (2012) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-012-9417-5 · Cited by 192
Neural oscillations and brain stimulation in Alzheimer’s disease
Jafari, Z., Kolb, B. E., & Mohajerani, M. H. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101878 · Cited by 192
Laminar analysis of visually evoked activity in the primary visual cortex
Xing, D., Yeh, C.-I., Burns, S., & Shapley, R. M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201478109 · Cited by 191
A blanket of inhibition: functional inferences from dense inhibitory connectivity
Karnani, M. M., Agetsuma, M., & Yuste, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.015 · Cited by 188
Cortical interneurons in autism
Contractor, A., Ethell, I. M., & Portera‐Cailliau, C. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00967-6 · Cited by 186
Florin, E., & Baillet, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.054 · Cited by 184
Ahmad, J., Ellis, C. L., Leech, R., Voytek, B., Garcés, P., Jones, E. J. H., Buitelaar, J. K., Loth, E., dos Santos, F. P., Amil, A. F., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02218-z · Cited by 181
Senkowski, D., & Gallinat, J. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.034 · Cited by 179
Sessolo, M., Marcon, I., Bovetti, S., Losi, G., Cammarota, M., Ratto, G. M., Fellin, T., & Carmignoto, G. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5117-14.2015 · Cited by 178
Odor Discrimination Requires Proper Olfactory Fast Oscillations in Awake Mice
Lepousez, G., & Lledo, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.025 · Cited by 178
The role of gamma oscillations in central nervous system diseases: Mechanism and treatment
Guan, A., Wang, S., Huang, A., Qiu, C., Li, Y., Li, X., Jinfei, W., Wang, Q., & Deng, B. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.962957 · Cited by 178
Over and above frequency: Gamma oscillations as units of neural circuit operations
Fernández‐Ruiz, A., Sirota, A., Lopes‐dos‐Santos, V., & Dupret, D. (2023) · Neuron · doi:10.1016/j.neuron.2023.02.026 · Cited by 178
Pentkowski, N. S., Rogge-Obando, K., Donaldson, T. N., Bouquin, S. J., & Clark, B. J. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.05.005 · Cited by 177
Neural Noise Hypothesis of Developmental Dyslexia
Hancock, R., Pugh, K. R., & Hoeft, F. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.008 · Cited by 176
Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography
Dinh, S. T., Nickel, M. M., Tiemann, L., May, E. S., Heitmann, H., Hohn, V. D., Edenharter, G. M., Utpadel-Fischler, D., Tölle, T. R., Sauseng, P., et al. (2019) · Pain · doi:10.1097/j.pain.0000000000001666 · Cited by 173
Portraits of communication in neuronal networks
Hahn, G., Ponce-Alvarez, A., Deco, G., Aertsen, A., & Kumar, A. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0094-0 · Cited by 171
Convergent Mechanisms Underlying Rapid Antidepressant Action
Zanos, P., Thompson, S. M., Duman, R. S., Zarate, C. A., & Gould, T. D. (2018) · CNS Drugs · doi:10.1007/s40263-018-0492-x · Cited by 171
Gamma Oscillation Dysfunction in mPFC Leads to Social Deficits in Neuroligin 3 R451C Knockin Mice
Cao, W., Shen, L., Xia, Q.-Q., Du, Y.-L., Yang, Q., Zhang, M., Lu, Y., Xu, J., Duan, S., Xia, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.001 · Cited by 171
Shaping Intrinsic Neural Oscillations with Periodic Stimulation
Herrmann, C. S., Murray, M. M., Ionta, S., Hutt, A., & Lefebvre, J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0236-16.2016 · Cited by 171
The extracellular matrix and perineuronal nets in memory
Fawcett, J. W., Fyhn, M., Jendelova, P., Kwok, J. C. F., Ruzicka, J., & Sorg, B. A. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01634-3 · Cited by 169
Long-Lasting Rescue of Network and Cognitive Dysfunction in a Genetic Schizophrenia Model
Mukherjee, A., Carvalho, F., Eliez, S., & Caroni, P. (2019) · Cell · doi:10.1016/j.cell.2019.07.023 · Cited by 169
Parallel detection of theta and respiration-coupled oscillations throughout the mouse brain
Tort, A. B. L., Ponsel, S., Jessberger, J., Yanovsky, Y., Brankačk, J., & Draguhn, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-24629-z · Cited by 169
GABAergic signaling to astrocytes in the prefrontal cortex sustains goal-directed behaviors
Mederos, S., Sánchez‐Puelles, C., Esparza, J., Valero, M., Ponomarenko, A. A., & Perea, G. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00752-x · Cited by 169
The what, where and how of delay activity
Sreenivasan, K. K., & D’Esposito, M. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0176-7 · Cited by 168
Oscillatory Control over Representational States in Working Memory
de Vries, I. E. J., Slagter, H. A., & Olivers, C. N. L. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.11.006 · Cited by 168
Antonoudiou, P., Tan, Y. L., Kontou, G., Upton, A. L., & Mann, E. O. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0261-20.2020 · Cited by 166
Glutamatergic Neurotransmission: Pathway to Developing Novel Rapid-Acting Antidepressant Treatments
Kadriu, B., Musazzi, L., Henter, I. D., Graves, M., Popoli, M., & Zarate, C. A. (2019) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy094 · Cited by 165
Wen, T. H., Afroz, S., Reinhard, S. M., Palacios, A. R., Tapia, K., Binder, D. K., Razak, K. A., & Ethell, I. M. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx258 · Cited by 165
Lofredi, R., Neumann, W., Bock, A., Horn, A., Huebl, J., Siegert, S., Schneider, G., Krauss, J. K., & Kühn, A. A. (2018) · eLife · doi:10.7554/elife.31895 · Cited by 164
The neuroscience of meditation: classification, phenomenology, correlates, and mechanisms
Brandmeyer, T., Arnaud Delorme, A., & Wahbeh, H. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2018.10.020 · Cited by 164
Zheng, J., Li, H., Tian, N., Liu, F., Wang, L., Yin, Y., Yue, L., Ma, L., Wan, Y., & Wang, J. (2020) · Cell stem cell · doi:10.1016/j.stem.2019.12.015 · Cited by 160
The interdependence of excitation and inhibition for the control of dynamic breathing rhythms
Baertsch, N. A., Baertsch, H., & Ramirez, J. (2018) · Nature Communications · doi:10.1038/s41467-018-03223-x · Cited by 159
Wang, L., Saalmann, Y. B., Pinsk, M. A., Arcaro, M. J., & Kastner, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.033 · Cited by 158
Priming of microglia with IFN-γ slows neuronal gamma oscillations in situ
Ta, T., Dikmen, H. O., Schilling, S., Chausse, B., Lewen, A., Hollnagel, J., & Kann, O. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1813562116 · Cited by 157
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 157
Selective entrainment of gamma subbands by different slow network oscillations
Zhong, W., Ciatipis, M., Wolfenstetter, T., Jessberger, J., Müller, C., Ponsel, S., Yanovsky, Y., Brankačk, J., Tort, A. B. L., & Draguhn, A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617249114 · Cited by 155
On cross-frequency phase-phase coupling between theta and gamma oscillations in the hippocampus
Scheffer-Teixeira, R., & Tort, A. B. L. (2016) · eLife · doi:10.7554/elife.20515 · Cited by 155
NREM sleep in the rodent neocortex and hippocampus reflects excitable dynamics
Levenstein, D., Buzsáki, G., & Rinzel, J. (2019) · Nature Communications · doi:10.1038/s41467-019-10327-5 · Cited by 155
Self-citationBidirectional perisomatic inhibitory plasticity of a Fos neuronal network
Yap, E.-L., Pettit, N. L., Davis, C. P., Nagy, M. A., Harmin, D. A., Golden, E., Dağliyan, O., Lin, C., Rudolph, S., Sharma, N., et al. (2020) · Nature · doi:10.1038/s41586-020-3031-0 · Cited by 154
Neuronal oscillations: unavoidable and useful?
Singer, W. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13796 · Cited by 153
Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes
Shobe, J. L., Claar, L. D., Parhami, S., Bakhurin, K. I., & Masmanidis, S. C. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00464.2015 · Cited by 152
Nowak, M. A., Hinson, E. L., van Ede, F., Pogosyan, A. H., Guerra, A., Quinn, A. J., Brown, P., & Stagg, C. J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0098-17.2017 · Cited by 152
Rhythms of the body, rhythms of the brain: Respiration, neural oscillations, and embodied cognition
Varga, S., & Heck, D. H. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.09.008 · Cited by 151
Lowet, E., Roberts, M. J., Bonizzi, P., Karel, J. M. H., & Weerd, P. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146443 · Cited by 150
Baker, R. H., Gent, T. C., Yang, Q., Parker, S., Vyssotski, A. L., Wisden, W., Brickley, S. G., & Franks, N. P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1519-14.2014 · Cited by 149
Functions and dysfunctions of neocortical inhibitory neuron subtypes
Hattori, R., Kuchibhotla, K. V., Froemke, R. C., & Komiyama, T. (2017) · Nature Neuroscience · doi:10.1038/nn.4619 · Cited by 149
Temporal coupling of field potentials and action potentials in the neocortex
Watson, B. O., Ding, M., & Buzsáki, G. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13807 · Cited by 147
Self-citationLi, M., Long, C., & Yang, L. (2015) · BioMed Research International · doi:10.1155/2015/810548 · Cited by 146
Medial prefrontal theta phase coupling during spatial memory retrieval
Kaplan, R., Bush, D., Bonnefond, M., Bandettini, P. A., Barnes, G. R., Doeller, C. F., & Burgess, N. (2014) · Hippocampus · doi:10.1002/hipo.22255 · Cited by 146
Frequency-specific electrophysiologic correlates of resting state fMRI networks
Hacker, C. D., Snyder, A. Z., Pahwa, M., Corbetta, M., & Leuthardt, E. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.054 · Cited by 146
Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli
Siegle, J. H., Pritchett, D. L., & Moore, C. I. (2014) · Nature Neuroscience · doi:10.1038/nn.3797 · Cited by 143
Top-down control of hippocampal signal-to-noise by prefrontal long-range inhibition
Malik, R., Li, Y., Schamiloglu, S., & Sohal, V. S. (2022) · Cell · doi:10.1016/j.cell.2022.04.001 · Cited by 142
Newman, E. L., Gillet, S. N., Climer, J. R., & Hasselmo, M. E. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2586-13.2013 · Cited by 140
Prox, J., Bernreuther, C., Altmeppen, H. C., Grendel, J., Glatzel, M., D’Hooge, R., Stroobants, S., Ahmed, T., Balschun, D., Willem, M., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5910-12.2013 · Cited by 139
Ai, L., Bansal, P., Mueller, J. K., & Legon, W. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0456-6 · Cited by 139
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Echeveste, R., Aitchison, L., Hennequin, G., & Lengyel, M. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0671-1 · Cited by 139
Membrane Potential Dynamics of Spontaneous and Visually Evoked Gamma Activity in V1 of Awake Mice
Perrenoud, Q., Pennartz, C. M. A., & Gentet, L. J. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002383 · Cited by 137
Experiments and models of cortical oscillations as a target for noninvasive brain stimulation
Frӧhlich, F. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.025 · Cited by 136
Large-Scale Communication in the Human Brain Is Rhythmically Modulated through Alpha Coherence
Chapeton, J. I., Haque, R. U., Wittig, J. H., Inati, S. K., & Zaghloul, K. A. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.014 · Cited by 136
Serial representation of items during working memory maintenance at letter-selective cortical sites
Bahramisharif, A., Jensen, O. B., Jacobs, J., & Lisman, J. E. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003805 · Cited by 135
Dysfunction of sensory oscillations in Autism Spectrum Disorder
Simon, D. M., & Wallace, M. T. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.016 · Cited by 132
Decoding hand gestures from primary somatosensory cortex using high-density ECoG
Branco, M. P., Freudenburg, Z. V., Aarnoutse, E. J., Bleichner, M. G., Vansteensel, M. J., & Ramsey, N. F. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.004 · Cited by 134
Kucyi, A., Schrouff, J., Bickel, S., Foster, B. L., Shine, J. M., & Parvizi, J. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0217-18.2018 · Cited by 134
Distinct Physiological Maturation of Parvalbumin-Positive Neuron Subtypes in Mouse Prefrontal Cortex
Miyamae, T., Chen, K., Lewis, D. A., & González‐Burgos, G. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3325-16.2017 · Cited by 133
Current findings and perspectives on aberrant neural oscillations in schizophrenia
Hirano, Y., & Uhlhaas, P. J. (2021) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13300 · Cited by 133
Brain–Computer Interface after Nervous System Injury
Burns, A., Adeli, H., & Buford, J. A. (2014) · The Neuroscientist · doi:10.1177/1073858414549015 · Cited by 132
Garcia, J. O., Ashourvan, A., Muldoon, S. F., Vettel, J. M., & Bassett, D. S. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2786710 · Cited by 132
Vezoli, J., Magrou, L., Goebel, R., Wang, X., Knoblauch, K., Vinck, M. A., & Kennedy, H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117479 · Cited by 132
Self-citationReentry: a key mechanism for integration of brain function
Edelman, G. M., & Gally, J. A. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00063 · Cited by 131
Abnormal Gamma Oscillations in N-Methyl-D-Aspartate Receptor Hypofunction Models of Schizophrenia
Jadi, M. P., Behrens, M. M., & B, T. J. S. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.07.005 · Cited by 131
Hill, A. T., Rogasch, N. C., Fitzgerald, P. B., & Hoy, K. E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.006 · Cited by 131
On High-Frequency Field Oscillations (>100 Hz) and the Spectral Leakage of Spiking Activity
Scheffer-Teixeira, R., Belchior, H., Leão, R. N., Ribeiro, S. T. G., & Tort, A. B. L. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4217-12.2013 · Cited by 131
Functional fission of parvalbumin interneuron classes during fast network events
Varga, C., Oijala, M., Lish, J., Szabo, G. G., Bezaire, M., Marchionni, I., Golshani, P., & Soltesz, I. (2014) · eLife · doi:10.7554/elife.04006 · Cited by 130
Stimulus repetition modulates gamma-band synchronization in primate visual cortex
Brunet, N. M., Bosman, C. A., Vinck, M., Roberts, M., Oostenveld, R., Desimone, R., De Weerd, P., & Fries, P. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1309714111 · Cited by 130
Wang, J., Fang, Y., Wang, X., Yang, H., Yu, X., & Wang, H. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00243 · Cited by 130
Self-citationWingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129
Xing, D., Shen, Y., Burns, S. P., Yeh, C.-I., Shapley, R. M., & Li, W. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5644-11.2012 · Cited by 128
Cortical Gradients and Laminar Projections in Mammals
Goulas, A., Zilles, K., & Hilgetag, C. C. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.06.003 · Cited by 128
Low‐voltage fast seizures in humans begin with increased interneuron firing
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Bastin, J., Deman, P., David, O., Gueguen, M., Benis, D., Minotti, L., Hoffman, D., Combrisson, E., Kujala, J., Perrone-Bertolotti, M., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv352 · Cited by 127
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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
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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.
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