The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
GABA Neurons and the Mechanisms of Network Oscillations: Implications for Understanding Cortical Dysfunction in Schizophrenia
Open accessAbstract
Synchronization of neuronal activity in the neocortex may underlie the coordination of neural representations and thus is critical for optimal cognitive function. Because cognitive deficits are the major determinant of functional outcome in schizophrenia, identifying their neural basis is important for the development of new therapeutic interventions. Here we review the data suggesting that phasic synaptic inhibition mediated by specific subtypes of cortical gamma-aminobutyric acid (GABA) neurons is essential for the production of synchronized network oscillations. We also discuss evidence indicating that GABA neurotransmission is altered in schizophrenia and propose mechanisms by which such alterations can decrease the strength of inhibitory connections in a cell-type-specific manner. We suggest that some alterations observed in the neocortex of schizophrenia subjects may be compensatory responses that partially restore inhibitory synaptic efficacy. The findings of altered neural synchrony and impaired cognitive function in schizophrenia suggest that such compensatory responses are insufficient and that interventions aimed at augmenting the efficacy of GABA neurotransmission might be of therapeutic value.
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.
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
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
AMPA Receptor Trafficking and Synaptic Plasticity
Malinow, R., & Malenka, R. C. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142758 · Cited by 2,588
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
Self-citationVariations on an inhibitory theme: phasic and tonic activation of GABAA receptors
Farrant, M., & Nusser, Z. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1625 · Cited by 2,081
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070
Whittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613
Synchronization of neuronal activity in hippocampus by individual GABAergic interneurons
Cobb, S. R., Buhl, E. H., Halasy, K., Paulsen, O., & Somogyi, P. (1995) · Nature · doi:10.1038/378075a0 · Cited by 1,498
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345
(2006) · doi:10.1093/acprof:oso/9780195100273.001.0001 · Cited by 1,186
A network of fast-spiking cells in the neocortex connected by electrical synapses
Galarreta, M., & Hestrin, S. (1999) · Nature · doi:10.1038/47029 · Cited by 960
Hashimoto, T., Volk, D. W., Eggan, S. M., Mirnics, K., Pierri, J. N., Sun, Z., Sampson, A. R., & Lewis, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-15-06315.2003 · Cited by 938
Self-citationDefined types of cortical interneurone structure space and spike timing in the hippocampus
Somogyi, P., & Klausberger, T. (2005) · The Journal of Physiology · doi:10.1113/jphysiol.2004.078915 · Cited by 927
Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity
Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R. (2004) · Science · doi:10.1126/science.1093173 · Cited by 838
Neuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822
Buhl, E. H., Halasy, K., & Somogyi, P. (1994) · Nature · doi:10.1038/368823a0 · Cited by 728
Action potential generation requires a high sodium channel density in the axon initial segment
Kole, M. H. P., Ilschner, S. U., Kampa, B. M., Williams, S. R., Ruben, P. C., & Stuart, G. J. (2008) · Nature Neuroscience · doi:10.1038/nn2040 · Cited by 703
Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits
Szabadics, J., Varga, C., Molnár, G., Oláh, S., Barzó, P., & Tamás, G. (2006) · Science · doi:10.1126/science.1121325 · Cited by 598
Ketamine-Induced Loss of Phenotype of Fast-Spiking Interneurons Is Mediated by NADPH-Oxidase
Behrens, M. M., Ali, S. S., Dao, D. N., Lucero, J., Shekhtman, G., Quick, K. L., & Dugan, L. L. (2007) · Science · doi:10.1126/science.1148045 · Cited by 585
Hefft, S., & Jonas, P. (2005) · Nature Neuroscience · doi:10.1038/nn1542 · Cited by 583
Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.
Holmgren, C., Harkany, T., Svennenfors, B., & Zilberter, Y. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.044784 · Cited by 573
Hashimoto, T., Arion, D., Unger, T., Maldonado-Avilés, J. G., Morris, H. M., Volk, D. W., Mirnics, K., & Lewis, D. A. (2008) · Molecular Psychiatry · doi:10.1038/sj.mp.4002011 · Cited by 490
Self-citationGulyás, A. I., Megı́as, M., Emri, Z., & Freund, T. F. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-22-10082.1999 · Cited by 476
Klausberger, T., Marton, L. F., O'Neill, J., Huck, J. H. J., Dalezios, Y., Fuentealba, P., Suen, W. Y., Papp, E., Kaneko, T., Watanabe, M., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.3269-05.2005 · Cited by 469
Klausberger, T., Márton, L. F., Baude, A., Roberts, J. D. B., Magill, P. J., & Somogyi, P. (2004) · Nature Neuroscience · doi:10.1038/nn1159 · Cited by 393
Galarreta, M., & Hestrin, S. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.192159599 · Cited by 387
Hippocampal pyramidal cells excite inhibitory neurons through a single release site
Gulyás, A. I., Miles, R., Sik, A., Tóth, K., Tamamaki, N., & Freund, T. F. (1993) · Nature · doi:10.1038/366683a0 · Cited by 384
Beasley, C. L., Zhang, Z. J., Patten, I., & Reynolds, G. P. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01360-4 · Cited by 374
Cellular mechanisms of neuronal population oscillations in the hippocampus in vitro
Traub, R. D., Bibbig, A., LeBeau, F. E. N., Buhl, E. H., & Whittington, M. A. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144303 · Cited by 358
Maccaferri, G., David, J., Roberts, B., Szucs, P., Cottingham, C. A., & Somogyi, P. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.t01-3-00091.x · Cited by 357
Huang, H.-S., Matevossian, A., Whittle, C., Kim, S. Y., Schumacher, A., Baker, S. P., & Akbarian, S. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3272-07.2007 · Cited by 352
Kinney, J. W., Davis, C. N., Tabarean, I., Conti, B., Bartfai, T., & Behrens, M. M. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4722-05.2006 · Cited by 329
Cell Type-Specific Tuning of Hippocampal Interneuron Firing during Gamma Oscillations In Vivo
Tukker, J. J., Fuentealba, P., Hartwich, K., Somogyi, P., & Klausberger, T. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1685-07.2007 · Cited by 304
Gorelova, N., Seamans, J. K., & Yang, C. R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00335.2002 · Cited by 302
Network Oscillations: Emerging Computational Principles
Sejnowski, T. J., & Paulsen, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3737-05d.2006 · Cited by 284
Pierri, J. N., Volk, C. L. E., Auh, S., Sampson, A., & Lewis, D. A. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.5.466 · Cited by 257
Self-citationLewis, D., Volk, D., & Hashimoto, T. (2004) · Psychopharmacology · doi:10.1007/s00213-003-1673-x · Cited by 253
Self-citationCobb, S. R., Halasy, K., Vida, I., Nyı́ri, G., Tamás, G., Buhl, E. H., & Somogyi, P. (1997) · Neuroscience · doi:10.1016/s0306-4522(97)00055-9 · Cited by 188
Rotstein, H. G., Pervouchine, D. D., Acker, C. D., Gillies, M. J., White, J. A., Buhl, E. H., Whittington, M. A., & Kopell, N. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00957.2004 · Cited by 175
Lu, J.-T., Li, C.-Y., Zhao, J.-P., Poo, M.-M., & Zhang, X.-H. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2513-07.2007 · Cited by 163
The problem of neuronal cell types: a physiological genomics approach
Nelson, S. B., Sugino, K., & Hempel, C. M. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.05.004 · Cited by 157
Müller, M., Felmy, F., Schwaller, B., & Schneggenburger, R. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5582-06.2007 · Cited by 155
Cossart, R., Epsztein, J., Tyzio, R., Becq, H., Hirsch, J., Ben-Ari, Y., & Crépel, V. (2002) · Neuron · doi:10.1016/s0896-6273(02)00753-5 · Cited by 150
van Hooft, J. A., Giuffrida, R., Blatow, M., & Monyer, H. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-10-03544.2000 · Cited by 141
GABAergic Input onto CA3 Hippocampal Interneurons Remains Shunting throughout Development
Banke, T. G., & McBain, C. J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2887-06.2006 · Cited by 140
AMPA amd NMDA receptors: similarities and differences in their synaptic distribution
Nusser, Z. (2000) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00086-6 · Cited by 108
Erickson, S. L., & Lewis, D. A. (2002) · Journal of Comparative Neurology · doi:10.1002/cne.10249 · Cited by 104
Self-citationModulation of inhibitory autapses and synapses on rat CA1 interneurones by GABAa receptor ligands
Pawelzik, H., Hughes, D. I., & Thomson, A. M. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2002.035121 · Cited by 37
Cited by
Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420
Cortical parvalbumin interneurons and cognitive dysfunction in schizophrenia
Lewis, D. A., Curley, A. A., Glausier, J. R., & Volk, D. W. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.10.004 · Cited by 1,071
Self-citationUhlhaas, P. J., Haenschel, C., Nikolic, D., & Singer, W. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn062 · Cited by 629
Common circuit defect of excitatory-inhibitory balance in mouse models of autism
Gogolla, N., LeBlanc, J. J., Quast, K. B., Südhof, T. C., Fagiolini, M., & Hensch, T. K. (2009) · Journal of Neurodevelopmental Disorders · doi:10.1007/s11689-009-9023-x · Cited by 610
Ferguson, B. R., & Gao, W.-J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00037 · Cited by 594
Metadata
- Authors
- Gonzalez-Burgos, G., & Lewis, D. A.
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07-21
- Volume
- 34
- Issue
- 5
- Pages
- 944-961
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- OpenAlex
- W2171907536
- Cited by
- 577
- References
- 49
- FWCI
- 24.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
