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Downregulation of Parvalbumin at Cortical GABA Synapses Reduces Network Gamma Oscillatory Activity
Open accessAbstract
Postmortem and functional imaging studies of patients with psychiatric disorders, including schizophrenia, are consistent with a dysfunction of interneurons leading to compromised inhibitory control of network activity. Parvalbumin (PV)-expressing, fast-spiking interneurons interacting with pyramidal neurons generate cortical gamma oscillations (30–80 Hz) that synchronize cortical activity during cognitive processing. In postmortem studies of schizophrenia patients, these interneurons show reduced PV and glutamic acid decarboxylase 67 (GAD67), an enzyme that synthesizes GABA, but the consequences of this downregulation are unclear. We developed a biophysically realistic and detailed computational model of a cortical circuit including asynchronous release from GABAergic interneurons to investigate how reductions in PV and GABA affect gamma oscillations induced by sensory stimuli. Networks with reduced GABA were disinhibited and had altered gamma oscillations in response to stimulation; PV-deficient GABA synapses had increased asynchronous release of GABA, which decreased the level of excitation and reduced gamma-band activity. Combined reductions of PV and GABA resulted in a diminished gamma-band oscillatory activity in response to stimuli, similar to that observed in schizophrenia patients. Our results suggest a mechanism by which reduced GAD67 and PV in fast-spiking interneurons may contribute to cortical dysfunction in schizophrenia and related psychiatric disorders.
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“Stimulation of PV-INs leads to an increase in gamma oscillation patterns, while inhibition of PV-INs or downregulation of PV at cortical synapses reduces gamma oscillations [76][77][78].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [78]
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“Recent advances in computational neuroscience have shown that properties of neural circuits can be captured by large-scale models that successfully predict, for example, the relationship between parameters of E/I balance and the occurrence of gamma-band oscillations (Neymotin et al., 2011”
From Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks (2012) · cites this paper as Volman et al., 2011
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Cites
Shrestha, S., & Offer, S. M. (2016) · Medical Epigenetics · doi:10.1159/000444713 · Cited by 8,951
Krystal, J. H. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950030035004 · Cited by 3,330
Recent advances in the phencyclidine model of schizophrenia
(1991) · American Journal of Psychiatry · doi:10.1176/ajp.148.10.1301 · Cited by 2,904
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Voltage oscillations in the barnacle giant muscle fiber
Morris, C., & Lecar, H. (1981) · Biophysical Journal · doi:10.1016/s0006-3495(81)84782-0 · Cited by 2,302
Cortical inhibitory neurons and schizophrenia
Lewis, D. A., Hashimoto, T., & Volk, D. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1648 · Cited by 2,297
Abnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120
Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
Wang, X., & Buzsáki, G. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06402.1996 · Cited by 1,561
Research works printed but not linked: 1
- Pinto-Duarte, 2010, Neonatal exposure to NMDA receptor antagonists halts the maturation of parvalbumin-positive fast-spiking interneurons, leading to altered network activity in adulthood, Soc Neurosci Abstr, 36, 363
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Mayerl, S., Müller, J., Bauer, R., Richert, S., Kassmann, C. M., Darras, V. M., Buder, K., Boelen, A., Visser, T. J., & Heuer, H. (2014) · Journal of Clinical Investigation · doi:10.1172/jci70324 · Cited by 281
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Orefice, L. L., Mosko, J. R., Morency, D. T., Wells, M. F., Tasnim, A., Mozeika, S. M., Ye, M., Chirila, A. M., Emanuel, A. J., Rankin, G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.024 · Cited by 247
McKlveen, J. M., Morano, R. L., Fitzgerald, M., Zoubovsky, S., Cassella, S. N., Scheimann, J. R., Ghosal, S., Mahbod, P., Packard, B. A., Myers, B., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.03.2101 · Cited by 224
Miller, O. H., Moran, J. T., & Hall, B. J. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.07.028 · Cited by 200
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
Hwang, Y., Kim, J., Shin, J.-Y., Kim, J.-I., Seo, J.-S., Webster, M. J., Lee, D., & Kim, S. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.94 · Cited by 189
Dysconnectivity, large-scale networks and neuronal dynamics in schizophrenia
Uhlhaas, P. J. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.004 · Cited by 178
Takao, K., Kobayashi, K., Hagihara, H., Ohira, K., Shoji, H., Hattori, S., Koshimizu, H., Umemori, J., Toyama, K., Nakamura, H. K., et al. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.38 · Cited by 173
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
Reduced Natural Oscillatory Frequency of Frontal Thalamocortical Circuits in Schizophrenia
Ferrarelli, F., Sarasso, S., Bodien, Y. G., Riedner, B. A., Peterson, M. J., Bellesi, M., Massimini, M., Postle, B. R., & Tononi, G. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2012.147 · Cited by 163
GABAergic inhibitory neurons as therapeutic targets for cognitive impairment in schizophrenia
Xu, M., & Wong, A. H. C. (2018) · Acta Pharmacologica Sinica · doi:10.1038/aps.2017.172 · Cited by 168
Donato, F., Chowdhury, A., Lahr, M., & Caroni, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.011 · Cited by 159
Glausier, J. R., Fish, K. N., & Lewis, D. A. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.152 · Cited by 147
Zamberletti, E., Beggiato, S., Steardo, L., Prini, P., Antonelli, T., Ferraro, L., Rubino, T., & Parolaro, D. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.10.028 · Cited by 147
Liu, Y., Ouyang, P., Zheng, Y., Mi, L., Zhao, J., Ning, Y., & Guo, W. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.664535 · Cited by 129
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Johnson, J. W., Glasgow, N. G., & Povysheva, N. V. (2014) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2014.11.006 · Cited by 121
McKlveen, J. M., Moloney, R. D., Scheimann, J. R., Myers, B., & Herman, J. P. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.032 · Cited by 112
Significance of epigenetics for understanding brain development, brain evolution and behaviour
Keverne, E. B. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.11.030 · Cited by 104
Sun, L., Castellanos, N., Grützner, C., Koethe, D., Rivolta, D., Wibral, M., Kranaster, L., Singer, W., Leweke, M. F., & Uhlhaas, P. J. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.08.023 · Cited by 96
Thomases, D. R., Cass, D. K., & Tseng, K. Y. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4147-12.2013 · Cited by 89
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Akbarian, S. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.3/sakbarian · Cited by 89
Estrogens and the cognitive symptoms of schizophrenia: Possible neuroprotective mechanisms
McGregor, C., Riordan, A. J., & Thornton, J. E. (2017) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2017.06.003 · Cited by 90
Khundakar, A. A., Hanson, P. S., Erskine, D., Lax, N. Z., Roscamp, J., Karyka, E., Tsefou, E., Singh, P., Cockell, S., Gribben, A., et al. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0334-3 · Cited by 83
Lovelace, J. W., Rais, M., Palacios, A. R., Shuai, X. S., Bishay, S., Popa, O., Pirbhoy, P. S., Binder, D. K., Nelson, D. L., Ethell, I. M., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz141 · Cited by 82
Cytosolic Accumulation of L-Proline Disrupts GABA-Ergic Transmission through GAD Blockade
Crabtree, G. W., Park, A. J., Gordon, J. A., & Gogos, J. A. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.029 · Cited by 79
Shiers, S. I., Pradhan, G., Mwirigi, J. M., Mejia, G. L., Ahmad, A., Kroener, S., & Price, T. J. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0713-18.2018 · Cited by 78
Ueno, H., Takao, K., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Okamoto, M., Aoki, S., & Ishihara, T. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2017.11.001 · Cited by 72
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Uchida, T., Furukawa, T., Iwata, S., Yanagawa, Y., & Fukuda, A. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.13 · Cited by 74
Raineki, C., Sarro, E., Rincón-Cortés, M., Perry, R., Boggs, J., Holman, C. J., Wilson, D. A., & Sullivan, R. M. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.266 · Cited by 71
Kuki, T., Fujihara, K., Miwa, H., Tamamaki, N., Yanagawa, Y., & Mushiake, H. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00006 · Cited by 68
Gonzalez-Burgos, G., Miyamae, T., Pafundo, D. E., Yoshino, H., Rotaru, D. C., Hoftman, G., Datta, D., Zhang, Y., Hammond, M., Sampson, A. R., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu122 · Cited by 64
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Stansfield, K. H., Ruby, K. N., Soares, B., McGlothan, J. L., Liu, X., & Guilarte, T. R. (2015) · Translational Psychiatry · doi:10.1038/tp.2014.147 · Cited by 61
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Gill, K. M., & Grace, A. A. (2014) · Current Pharmaceutical Design · doi:10.2174/1381612819666131216114612 · Cited by 59
Lin, H., Hsu, F., Baumann, B. H., Coulter, D. A., Anderson, S. A., & Lynch, D. R. (2014) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2014.06.007 · Cited by 60
Rupert, D. D., & Shea, S. D. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.886629 · Cited by 58
Roux, N. L., Cabezas, C., Böhm, U. L., & Poncer, J. C. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.245852 · Cited by 58
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Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Okamoto, M., Matsumoto, Y., & Ishihara, T. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.016 · Cited by 57
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Grayson, B., Barnes, S. A., Markou, A., Piercy, C., Podda, G., & Neill, J. C. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_403 · Cited by 51
McNally, J. M., McCarley, R. W., & Brown, R. E. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-012-0346-z · Cited by 47
Bertocchi, I., Eltokhi, A., Rozov, A. V., Nguyễn, V., Jensen, V., Bus, T., Pawlak, V., Serafino, M., Sonntag, H., Yang, B., et al. (2021) · Communications Biology · doi:10.1038/s42003-020-01538-4 · Cited by 48
Wang, X., Pinto-Duarte, A., Sejnowski, T. J., & Behrens, M. M. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.4907 · Cited by 46
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Morello, N., Schina, R., Pilotto, F., Phillips, M. L., Melani, R., Plicato, O., Pizzorusso, T., Pozzo‐Miller, L. D., & Giustetto, M. (2018) · eNeuro · doi:10.1523/eneuro.0086-18.2018 · Cited by 45
Wang, N., Zhang, G.-F., Liu, X.-Y., Sun, H.-L., Wang, X.-M., Qiu, L.-L., Yang, C., & Yang, J.-J. (2014) · Journal of Molecular Neuroscience · doi:10.1007/s12031-014-0277-8 · Cited by 41
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Waider, J., Proft, F., Langlhofer, G., Asan, E., Lesch, K., & Gutknecht, L. (2012) · Histochemistry and Cell Biology · doi:10.1007/s00418-012-1029-x · Cited by 40
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Li, X., Honda, S., Nakajima, S., Wada, M., Yoshida, K., Daskalakis, Z. J., Mimura, M., & Noda, Y. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11050388 · Cited by 36
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Wang, Y., Wang, Z., Wang, J., Wang, Y., Henderson, Z., Wang, X., Zhang, X., Song, J., & Lu, C. (2015) · Scientific Reports · doi:10.1038/srep09493 · Cited by 36
MacMullin, P., Hodgson, N., Damar, U., Lee, H. H. C., Hameed, M. Q., Dhamne, S. C., Hyde, D. E., Conley, G. M., Morriss, N. J., Qiu, J., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa157 · Cited by 36
Perica, M. I., & Luna, B. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105378 · Cited by 35
Hasam‐Henderson, L. A., Gotti, G. C., Mishto, M., Klisch, C., Gerevich, Z., Geiger, J. R. P., & Kovács, R. (2018) · Scientific Reports · doi:10.1038/s41598-018-27830-2 · Cited by 34
Casanova, M. F., Shaban, M., Ghazal, M. A., El-Baz, A. S., Casanova, M., & Sokhadze, E. M. (2021) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-021-09509-z · Cited by 30
Sabbagh, J. J., Murtishaw, A. S., Bolton, M. M., Heaney, C. F., Langhardt, M. A., & Kinney, J. W. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.06.040 · Cited by 30
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Caroni, P. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.02.023 · Cited by 31
Wearne, T. A., & Cornish, J. L. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109681 · Cited by 29
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Sabbagh, J. J., Heaney, C. F., Bolton, M. M., Murtishaw, A. S., & Kinney, J. W. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2012.08.007 · Cited by 28
Al-Amin, M. M., Sullivan, R., Kurniawan, N. D., & Burne, T. H. J. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01840-w · Cited by 27
Early-life lead exposure and neurodevelopmental disorders
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Functional dysconnectivity in schizophrenia and its relationship to neural synchrony
Brennan, A. M., Harris, A. W. F., & Williams, L. M. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.811899 · Cited by 24
Cohen, E. J., Quarta, E., Fulgenzi, G., & Minciacchi, D. (2014) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2014.10.004 · Cited by 26
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Sancandi, M., Schul, E. V., Economides, G., Constanti, A., & Mercer, A. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00479 · Cited by 22
Jorgensen, E. T., Gonzalez, A. E., Harkness, J. H., Hegarty, D. M., Thakar, A., Burchi, D. J., Aadland, J. A., Aicher, S. A., Sorg, B. A., & Brown, T. E. (2020) · Addiction Biology · doi:10.1111/adb.12947 · Cited by 20
Briones, B. A., Pisano, T. J., Pitcher, M. N., Haye, A. E., Diethorn, E. J., Engel, E. A., Cameron, H. A., & Gould, E. (2021) · Hippocampus · doi:10.1002/hipo.23296 · Cited by 20
Hoshino, O. (2012) · Neural Computation · doi:10.1162/neco_a_00356 · Cited by 20
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Metadata
- Authors
- Volman, V., Behrens, M. M., & Sejnowski, T. J.
- Affiliations
- Salk Institute for Biological Studies (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-12-07
- Volume
- 31
- Issue
- 49
- Pages
- 18137-18148
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3257321
- OpenAlex
- W2092726530
- Semantic Scholar
- 8856dc2fc5afcdd1f2cff5f3097eafc6570f0a07
- Cited by
- 164
- References
- 61
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 6 · 2023: 3 · 2022: 12 · 2021: 11 · 2020: 8 · 2019: 7 · 2018: 8 · 2017: 10 · 2016: 6 · 2015: 17 · 2014: 19 · 2013: 25 · 2012: 17
- FWCI
- 9.90
- 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)
- Funders
- National Science Foundation (0822283)
- Howard Hughes Medical Institute
- National Institutes of Health (5r01ns059740-04)
- University of California, San Diego (PHY-0822283)
- National Institute of Mental Health (R01MH091407, MH091407)
- National Institute of Neurological Disorders and Stroke (R01-NS-059740, NS059740)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- parvalbumin, fast-spiking interneurons, gamma oscillations, GABAergic synapses, glutamic acid decarboxylase 67, schizophrenia, cortical inhibition, asynchronous neurotransmitter release, computational neural network model
- MeSH terms
- Action Potentials, Biological Clocks, Cerebral Cortex, Computer Simulation, gamma-Aminobutyric Acid, Glutamate Decarboxylase, Humans, Interneurons, Models, Neurological, Nerve Net, Parvalbumins, Physical Stimulation, Synapses, Down-Regulation, Nonlinear Dynamics
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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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