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Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
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The cellular generation and spatial distribution of gamma frequency (40-100 Hz) activity was examined in the hippocampus of the awake rat. Field potentials and unit activity were recorded by multiple site silicon probes (5- and 16-site shanks) and wire electrode arrays. Gamma waves were highly coherent along the long axis of the dentate hilus, but average coherence decreased rapidly in the CA3 and CA1 directions. Analysis of short epochs revealed large fluctuations in coherence values between the dentate and CA1 gamma waves. Current source density analysis revealed large sinks and sources in the dentate gyrus with spatial distribution similar to the dipoles evoked by stimulation of the perforant path. The frequency changes of gamma and theta waves positively correlated (40-100 Hz and 5-10 Hz, respectively). Putative interneurons in the dentate gyrus discharged at gamma frequency and were phase-locked to the ascending part of the gamma waves recorded from the hilus. Following bilateral lesion of the entorhinal cortex the power and frequency of hilar gamma activity significantly decreased or disappeared. Instead, a large amplitude but slower gamma pattern (25-50 Hz) emerged in the CA3-CA1 network. We suggest that gamma oscillation emerges from an interaction between intrinsic oscillatory properties of interneurons and the network properties of the dentate gyrus. We also hypothesize that under physiological conditions the hilar gamma oscillation may be entrained by the entorhinal rhythm and that gamma oscillation in the CA3-CA1 circuitry is suppressed by either the hilar region or the entorhinal cortex.
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“The amplitude envelope of the gamma oscillation was phase-locked to the theta rhythm (Figures 3A,B and 4C), as it is in the biological CA1, representing cross-frequency coupling (Soltesz and Deschênes, 1993; Bragin et al., 1995; Buzsáki et al., 2003; Jensen and Colgin, 2007; Belluscio et al., 2012).”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Bragin et al., 1995
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Cites
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564
Cellular bases of hippocampal EEG in the behaving rat
Buzsáki, G., Leung Lai-Wo, S., & Vanderwolf, C. H. (1983) · Brain Research Reviews · doi:10.1016/0165-0173(83)90037-1 · Cited by 1,397
High-frequency network oscillation in the hippocampus
Buzsáki, G., Horváth, Z., Urioste, R., Hetke, J. F., & Wise, K. D. (1992) · Science · doi:10.1126/science.1589772 · Cited by 1,223
Self-citationMcCormick, D. A. (1992) · Progress in Neurobiology · doi:10.1016/0301-0082(92)90012-4 · Cited by 1,117
Ylinen, A., Bragin, A., Nadasdy, Z., Jando, G., Szabo, I., Sik, A., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00030.1995 · Cited by 1,092
Self-citationThe physiology and pharmacology of hippocampal formation theta rhythms
Bland, B. H. (1986) · Progress in Neurobiology · doi:10.1016/0301-0082(86)90019-5 · Cited by 1,039
Coherent 40-Hz oscillation characterizes dream state in humans.
Llinás, R., & Ribary, U. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.2078 · Cited by 962
Hippocampal sharp waves: Their origin and significance
Buzsáki, G. (1986) · Brain Research · doi:10.1016/0006-8993(86)91483-6 · Cited by 925
A golgi study of cell types in the hilar region of the hippocampus in the rat
Amaral, D. G. (1978) · The Journal of Comparative Neurology · doi:10.1002/cne.901820508 · Cited by 911
The hippocampal CA3 network: An in vivo intracellular labeling study
Li, X. ‐., Somogyi, P., Ylinen, A., & Buzsáki, G. (1994) · The Journal of Comparative Neurology · doi:10.1002/cne.903390204 · Cited by 751
Do septal neurons pace the hippocampal theta rhythm?
Stewart, M., & Fox, S. E. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90040-h · Cited by 552
A light and electron microscopic analysis of the mossy fibers of the rat dentate gyrus
Claiborne, B. J., Amaral, D. G., & Cowan, W. M. (1986) · The Journal of Comparative Neurology · doi:10.1002/cne.902460403 · Cited by 509
Engel, A. K., Peter König, B., Gray, C. M., & Singer, W. (1990) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1990.tb00449.x · Cited by 433
Quirk, G., Muller, R., Kubie, J., & Ranck, J. B. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-05-01945.1992 · Cited by 428
Soltész, I., & Deschênes, M. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.1.97 · Cited by 410
Electrophysiological characteristics of hippocampal complex-spike cells and theta cells
Fox, S. E., & Ranck, J. B. (1981) · Experimental Brain Research · doi:10.1007/bf00238898 · Cited by 381
Microfabrication Techniques for Integrated Sensors and Microsystems
Wise, K. D., & Najafi, K. (1991) · Science · doi:10.1126/science.1962192 · Cited by 309
Self-citationDrug Action on The Electrical Activity of The Hippocampus
Stumpf, C. (1965) · International review of neurobiology · doi:10.1016/s0074-7742(08)60756-4 · Cited by 303
Brankačk, J., Stewart, M., & Fox, S. E. (1993) · Brain Research · doi:10.1016/0006-8993(93)90043-m · Cited by 279
Buzsáki, G., Czopf, J., Kondákor, I., & Kellényi, L. (1986) · Brain Research · doi:10.1016/0006-8993(86)90729-8 · Cited by 250
Hippocampal theta rhythm and the firing of neurons in walking and urethane anesthetized rats
Fox, S. E., Wolfson, S., & Ranck, J. B. (1986) · Experimental Brain Research · doi:10.1007/bf00236028 · Cited by 244
Spectral characteristics of the hippocampal EEG in the freely moving rat
Leung, L.-W. S., Lopes, F. H. D. S., & Wadman, W. J. (1982) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(82)90162-6 · Cited by 201
Cholinergic innervation of hippocampal GAD‐ and somatostatin‐immunoreactive commissural neurons
Léránth, C., & Frotscher, M. (1987) · The Journal of Comparative Neurology · doi:10.1002/cne.902610104 · Cited by 189
Voltage-dependent 40-Hz oscillations in rat reticular thalamic neurons in vivo
Pinault, D., & Deschênes, M. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90312-p · Cited by 153
Gallyas, F., G�ldner, F.-H., Zoltay, G., & Wolff, J. R. (1990) · Acta Neuropathologica · doi:10.1007/bf00294239 · Cited by 137
Synchronization of Cortical Activity and Its Putative Role in Information Processing and Learning
Singer, W. (1993) · Annual Review of Physiology · doi:10.1146/annurev.physiol.55.1.349 · Cited by 110
Ionic basis for intrinsic 40 Hz neuronal oscillations
Wang, X. (1993) · Neuroreport · doi:10.1097/00001756-199312000-00008 · Cited by 109
Conceptual Clustering in Knowledge Organization
Cheng, Y., & Fu, K. (1985) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1985.4767706 · Cited by 82
Non-linear dynamical system theory and primary visual cortical processing
Siegel, R. M. (1990) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(90)90090-c · Cited by 79
Fast (beta) rhythms in the hippocampus: A review
Leung, L.-W. S. (1992) · Hippocampus · doi:10.1002/hipo.450020202 · Cited by 77
A totally automated system for the detection and classification of neural spikes
Yang, X., & Shamma, S. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.7287 · Cited by 76
Multisite recording of brain field potentials and unit activity in freely moving rats
Buzsáki, G., Bickford, R. G., Ryan, L. J., Young, S., Prohaska, O. J., Mandel, R. J., & Gage, F. H. (1989) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(89)90038-1 · Cited by 69
Leung, L. W. (1979) · Journal of Neurophysiology · doi:10.1152/jn.1979.42.6.1557 · Cited by 36
Physiological function of granule cells: a hypothesis.
Buzsáki, G., & Czéh, G. (1992) · PubMed · Cited by 16
Research works printed but not linked: 4
- Chrobak JJ, Buzsaki G (1994) Selective activation of deep layer re- trohippocampal neurons during hippocampal sharp waves. J Neu- rosci, in press.
- Freeman WJ (1994) Chaotic oscillation and genesis of meaning in the cerebral cortex. In: Temporal coding in the brain (Buzsaki G, Llinas R. Singer W. Bethoz A. Christen Y, eds), in press. Berlin: Sminaer.
- Gray CM (1993) Rhythmic activity in neuronal systems: insights into integrative function. In: SFI studies in the sciences of complexity, Lectures in complex systems (Nadel L, Stein D, eds), pp 89-161. Reading, MA: Addison-Wesley.
- Gray CM (1994) Synchronous oscillations in neuronal systems: mech- anisms and function. J Comput Neurosci, in press.
Cited by
Sorted by citations
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
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
Self-citationTheta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725
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
Metadata
- Authors
- Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., & Buzsaki, G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- ORCID
- Bragin, A
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1995-01-01
- Volume
- 15
- Issue
- 1
- Pages
- 47-60
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6578273
- OpenAlex
- W1653233231
- Cited by
- 1,527
- References
- 34
- Citations by year
- 2026: 14 · 2025: 33 · 2024: 28 · 2023: 43 · 2022: 66 · 2021: 51 · 2020: 58 · 2019: 72 · 2018: 63 · 2017: 52 · 2016: 76 · 2015: 57 · 2014: 73 · 2013: 70 · 2012: 71
- FWCI
- 18.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- gamma oscillations, hippocampus, dentate gyrus, entorhinal cortex, interneurons, phase locking, current source density, perforant path, theta-gamma coupling, neural coherence
- MeSH terms
- Animals, Behavior, Animal, Electroencephalography, Electrophysiology, Female, Hippocampus, Male, Neurons, Oscillometry, Theta Rhythm, Rats, Sprague-Dawley, Entorhinal Cortex, Rats
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