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Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Open accessAbstract
Synchronized oscillations and inhibitory interneurons have important and interconnected roles within cortical microcircuits. In particular, interneurons defined by the fast-spiking phenotype and expression of the calcium-binding protein parvalbumin have been suggested to be involved in gamma (30-80 Hz) oscillations, which are hypothesized to enhance information processing. However, because parvalbumin interneurons cannot be selectively controlled, definitive tests of their functional significance in gamma oscillations, and quantitative assessment of the impact of parvalbumin interneurons and gamma oscillations on cortical circuits, have been lacking despite potentially enormous significance (for example, abnormalities in parvalbumin interneurons may underlie altered gamma-frequency synchronization and cognition in schizophrenia and autism). Here we use a panel of optogenetic technologies in mice to selectively modulate multiple distinct circuit elements in neocortex, alone or in combination. We find that inhibiting parvalbumin interneurons suppresses gamma oscillations in vivo, whereas driving these interneurons (even by means of non-rhythmic principal cell activity) is sufficient to generate emergent gamma-frequency rhythmicity. Moreover, gamma-frequency modulation of excitatory input in turn was found to enhance signal transmission in neocortex by reducing circuit noise and amplifying circuit signals, including inputs to parvalbumin interneurons. As demonstrated here, optogenetics opens the door to a new kind of informational analysis of brain function, permitting quantitative delineation of the functional significance of individual elements in the emergent operation and function of intact neural circuitry.
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In the citing paper
“strong evidence supporting the view that PV-expressing basket cells have critical roles in the generation and maintenance of gamma, theta and ripple oscillations”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as Sohal et al., 2009
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We used a sensory paradigm to induce a synchronous activated state in the prefrontal neuronal circuitry and, thus, elicit u oscillations with a nested g activity (Sohal et al., 2009)”
From Perineuronal Nets Regulate the Inhibitory Perisomatic Input onto Parvalbumin Interneurons and γ Activity in the Prefrontal Cortex (2020) · cites this paper as Sohal et al., 2009
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Fast-spiking properties consequently impose high metabolic demand and increased mitochondrial density, which renders PV cells, but not other interneurons such as calretinin and calbindin cells, particularly sensitive to oxidative stress (3).”
From Perineuronal nets protect fast-spiking interneurons against oxidative stress (2013) · cites this paper as [3]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Furthermore, the antioxidant N-acetylcysteine prevents the GBRinduced PV-cell defect in Gclm KO mice (3).”
From Perineuronal nets protect fast-spiking interneurons against oxidative stress (2013) · cites this paper as [3]
Experimental — accuracy not yet measuredIn the citing paper
“Cortical PV cells contribute to synchronous oscillatory activity (Cardin et al., 2009; Sohal et al., 2009; Uhlhaas et al., 2009), particularly in the gamma range (∼30–100 Hz).”
From The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders (2018) · cites this paper as Sohal et al., 2009
In the citing paper
“Cortical gamma band oscillations have been attributed to GABAergic cell activity, in particular PV interneurons (Sohal et al., 2009).”
From The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders (2018) · cites this paper as Sohal et al., 2009
In the citing paper
“FS-PV interneurons are at the origin of gamma oscillation in the cortex and contribute to cognitive functions.29, 30”
From Cortical fast-spiking parvalbumin interneurons enwrapped in the perineuronal net express the metallopeptidases Adamts8, Adamts15 and Neprilysin (2015) · cites this paper as [30]
In the citing paper
“Two foundational optogenetic studies demonstrated that optogenetically driving inhibitory interneurons specifically enhances slow gamma frequency oscillations throughout cortex, reducing circuit noise while amplifying circuit signal [201, 202].”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [202]
In the citing paper
“there is evidence that gamma oscillations may facilitate cortical circuit performance and enhance information transmission by increasing signal-to-noise ratio within neocortical circuits (Sohal et al, 2009).”
From Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study (2016) · cites this paper as Sohal et al, 2009
In the citing paper
“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 [77]
In the citing paper
“Inhibition of PV interneurons led to an immediate suppression of 30–80 Hz oscillations while 10–30 Hz oscillations increased in power.”
From Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks (2012) · cites this paper as Sohal et al., 2009
In the citing paper
“Increasingly, evidence is emerging that decreased inhibition is a critical contributor to E/I imbalance in ASD40.”
From Regulation of autism-relevant behaviors by cerebellar-prefrontal cortical circuits (2020) · cites this paper as [40]
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Citations
Cites
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 5,015
Self-citationModulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
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
Perception's shadow: long-distance synchronization of human brain activity
Rodriguez, E., George, N., Lachaux, J.-P., Martinerie, J., Renault, B., & Varela, F. J. (1999) · Nature · doi:10.1038/17120 · Cited by 1,915
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876
Multimodal fast optical interrogation of neural circuitry
Zhang, F., Wang, L., Brauner, M., Liewald, J. F., Kay, K., Watzke, N., Wood, P. G., Bamberg, E., Nagel, G., GOTTSCHALK, A. R., et al. (2007) · Nature · doi:10.1038/nature05744 · Cited by 1,766
Self-citationWhittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
Modulation of Neuronal Interactions Through Neuronal Synchronization
Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P. (2007) · Science · doi:10.1126/science.1139597 · Cited by 1,367
Aravanis, A. M., Wang, L., Zhang, F., Meltzer, L. A., Mogri, M., Schneider, M. B., & Deisseroth, K. A. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/s02 · Cited by 960
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Items 301–400 of 1,013
Abnormal Long-Range Neural Synchrony in a Maternal Immune Activation Animal Model of Schizophrenia
Dickerson, D. D., Wolff, A. R., & Bilkey, D. K. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3046-10.2010 · Cited by 156
Glausier, J. R., Fish, K. N., & Lewis, D. A. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.152 · Cited by 147
Rogasch, N. C., Daskalakis, Z. J., & Fitzgerald, P. B. (2014) · Cortex · doi:10.1016/j.cortex.2014.10.003 · Cited by 158
The Hodgkin-Huxley Heritage: From Channels to Circuits
Catterall, W. A., Raman, I. M., Robinson, H. P. C., B, T. J. S. A., & Paulsen, O. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3403-12.2012 · Cited by 153
Owen, S. F., Berke, J. D., & Kreitzer, A. C. (2018) · Cell · doi:10.1016/j.cell.2018.01.005 · Cited by 158
Pre-frontal parvalbumin interneurons in schizophrenia: a meta-analysis of post-mortem studies
Kaar, S. J., Angelescu, I., Marques, T. R., & Howes, O. D. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02080-2 · Cited by 159
Networks of Neuronal Genes Affected by Common and Rare Variants in Autism Spectrum Disorders
Ben-David, E., & Shifman, S. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002556 · Cited by 145
Northoff, G., & Sibille, E. L. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.68 · Cited by 148
Improved measures of phase-coupling between spikes and the Local Field Potential
Vinck, M. A., Battaglia, F. P., Womelsdorf, T., & Pennartz, C. M. A. (2011) · Journal of Computational Neuroscience · doi:10.1007/s10827-011-0374-4 · Cited by 153
Rivolta, D., Heidegger, T., Scheller, B., Sauer, A., Schaum, M., Birkner, K., Singer, W., Wibral, M., & Uhlhaas, P. J. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv051 · Cited by 149
Preserving the balance: diverse forms of long-term GABAergic synaptic plasticity
Chiu, C. Q., Barberis, A., & Higley, M. J. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0141-5 · Cited by 156
Kim, K. M., Baratta, M. V., Yang, A., Lee, D., Boyden, E. S., & Fiorillo, C. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033612 · Cited by 151
McNally, J. M., & McCarley, R. W. (2016) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000244 · Cited by 153
Visual Perception Disturbances in Schizophrenia: A Unified Model
Silverstein, S. M. (2016) · Nebraska Symposium on Motivation/The Nebraska symposium on motivation · doi:10.1007/978-3-319-30596-7_4 · Cited by 147
Tan, L. L., Oswald, M. J., Heinl, C., Romero, O. A. R., Kaushalya, S. K., Monyer, H., & Kuner, R. (2019) · Nature Communications · doi:10.1038/s41467-019-08873-z · Cited by 144
Drew, P. J., Matéo, C., Turner, K. L., Yu, X., & Kleinfeld, D. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.020 · Cited by 152
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
Lewis, D. A. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08156.x · 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
Cell of all trades: oligodendrocyte precursor cells in synaptic, vascular, and immune functionPreprint
Akay, L. A., Effenberger, A. H., & Tsai, L. (2021) · Genes & Development · doi:10.1101/gad.344218.120 · Cited by 150
Cerebellar Purkinje cell activity drives motor learning
Nguyen-Vu, T. D. B., Kimpo, R. R., Rinaldi, J. M., Kohli, A., Zeng, H., Deisseroth, K., & Raymond, J. L. (2013) · Nature Neuroscience · doi:10.1038/nn.3576 · Cited by 140
Self-citationSleep-stage-specific regulation of cortical excitation and inhibition
Niethard, N., Hasegawa, M., Itokazu, T., Oyanedel, C. N., Born, J., & Sato, T. R. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.035 · Cited by 140
Deficits in high- (>60 Hz) gamma-band oscillations during visual processing in schizophrenia
Grützner, C., Wibral, M., Sun, L., Rivolta, D., Singer, W., Maurer, K., & Uhlhaas, P. J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00088 · Cited by 140
Urs, N. M., Gee, S. M., Pack, T. F., McCorvy, J. D., Evron, T., Snyder, J. C., Yang, X., Rodriguiz, R. M., Borrelli, E., Wetsel, W. C., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614347113 · Cited by 143
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140
Synaptic Organization of the Neuronal Circuits of the Claustrum
Kim, J., Matney, C. J., Roth, R. H., & Brown, S. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3643-15.2016 · Cited by 144
The role of astrocyte‐mediated plasticity in neural circuit development and function
Perez-Catalan, N. A., Doe, C. Q., & Ackerman, S. D. (2021) · Neural Development · doi:10.1186/s13064-020-00151-9 · Cited by 146
Cortical basket cell dysfunction in schizophrenia
Curley, A. A., & Lewis, D. A. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2011.224659 · Cited by 136
Basket cell dichotomy in microcircuit function
Armstrong, C., & Soltész, I. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.223669 · Cited by 141
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
Miyoshi, G., Young, A., Petros, T., Karayannis, T., McKenzie Chang, M., Lavado, A., Iwano, T., Nakajima, M., Taniguchi, H., Huang, Z. J., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1164-15.2015 · Cited by 135
Developmental Dysfunction of VIP Interneurons Impairs Cortical Circuits
Batista-Brito, R., Vinck, M., Ferguson, K. A., Chang, J. T., Laubender, D., Lur, G., Mossner, J. M., Hernandez, V. G., Ramakrishnan, C., Deisseroth, K., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.034 · Cited by 135
Self-citationGamma-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
Basal Forebrain Cholinergic Modulation of Sleep Transitions
Irmak, S. O., & de Lecea, L. (2014) · SLEEP · doi:10.5665/sleep.4246 · Cited by 138
Tejeda, H. A., Wu, J., Kornspun, A. R., Pignatelli, M., Kashtelyan, V., Krashes, M. J., Lowell, B. B., Carlezon, W. A., & Bonci, A. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.005 · Cited by 141
Molecular Pharmacology and Neurobiology of Rapid-Acting Antidepressants
Gould, T. D., Zarate, C. A., & Thompson, S. M. (2019) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010617-052811 · Cited by 133
Bloem, B., Schoppink, L., Rotaru, D. C., Faiz, A., Hendriks, P., Mansvelder, H. D., van de Berg, W. D. J., & Wouterlood, F. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3011-14.2014 · Cited by 143
Rapid Developmental Maturation of Neocortical FS Cell Intrinsic Excitability
Goldberg, E. M., Jeong, H.-Y., Kruglikov, I., Tremblay, R., Lazarenko, R. M., & Rudy, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq138 · Cited by 138
The Parvalbumin/Somatostatin Ratio Is Increased in Pten Mutant Mice and by Human PTEN ASD Alleles
Vogt, D. L., Cho, K. K. A., Lee, A. T., Sohal, V. S., & Rubenstein, J. L. R. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.019 · Cited by 135
Self-citationSanders, T. H., & Jaeger, D. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.07.021 · Cited by 130
Nested Neuronal Dynamics Orchestrate a Behavioral Hierarchy across Timescales
Kaplan, H. S., Thula, O. S., Khoss, N., & Zimmer, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.10.037 · Cited by 136
Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129
Increased Resting-State Gamma-Band Connectivity in First-Episode Schizophrenia
Andreou, C., Nolte, G., Leicht, G., Polomac, N., Hanganu-Opatz, I. L., Lambert, M., Engel, A. K., & Mulert, C. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu121 · Cited by 129
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
GABAergic Interneurons in Seizures: Investigating Causality With Optogenetics
Magloire, V., Mercier, M. S., Kullmann, D. M., & Pavlov, I. (2018) · The Neuroscientist · doi:10.1177/1073858418805002 · Cited by 140
Positive reward prediction errors during decision-making strengthen memory encoding
Jang, A. I., Nassar, M. R., Dillon, D. G., & Frank, M. J. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0597-3 · Cited by 138
Closed-loop optogenetic intervention in mice
Armstrong, C., Krook-Magnuson, E. I., Oijala, M., & Soltész, I. (2013) · Nature Protocols · doi:10.1038/nprot.2013.080 · Cited by 134
Zhu, P., Fajardo, O., Shum, J. W. H., Zhang, Y., & Friedrich, R. W. (2012) · Nature Protocols · doi:10.1038/nprot.2012.072 · Cited by 132
40 Hz Auditory Steady-State Response Is a Pharmacodynamic Biomarker for Cortical NMDA Receptors
Sivarao, D. V., Chen, P., Senapati, A. K., Yang, Y., Fernandes, A., Benitex, Y., Whiterock, V. J., Li, Y.-W., & Ahlijanian, M. K. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.17 · Cited by 128
Functional characteristics of parvalbumin‐ and cholecystokinin‐expressing basket cells
Bartos, M., & Elgueta, C. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2011.226175 · Cited by 127
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
Developmental changes in GABAergic mechanisms in human visual cortex across the lifespan
Pinto (2010) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2010.00016 · Cited by 132
Asymmetric effects of activating and inactivating cortical interneurons
Phillips, E. A. K., & Hasenstaub, A. R. (2016) · eLife · doi:10.7554/elife.18383 · Cited by 129
The inhibitory neurotransmitter GABA evokes long‐lasting C a 2+ oscillations in cortical astrocytes
Mariotti, L., Losi, G., Sessolo, M., Marcon, I., & Carmignoto, G. (2015) · Glia · doi:10.1002/glia.22933 · Cited by 130
GABA abnormalities in schizophrenia: A methodological review of in vivo studies
Taylor, S. F., & Tso, I. F. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.011 · Cited by 132
Parvalbumin interneuron in the ventral hippocampus functions as a discriminator in social memory
Deng, X., Gu, L., Sui, N., Guo, J., & Liang, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1819133116 · Cited by 129
Barr, M. S., Farzan, F., Tran, L. C., Chen, R., Fitzgerald, P. B., & Daskalakis, Z. J. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.05.023 · Cited by 125
Renard, J., Szkudlarek, H. J., Kramar, C. P., Jobson, C. E. L., Moura, K., Rushlow, W. J., & Laviolette, S. R. (2017) · Scientific Reports · doi:10.1038/s41598-017-11645-8 · Cited by 125
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
Astrocyte Intermediaries of Septal Cholinergic Modulation in the Hippocampus
Pabst, M., Braganza, O., Dannenberg, H., Hu, W., Pothmann, L., Rosen, J., Mody, I., van Loo, K., Deisseroth, K., Becker, A. J., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.003 · Cited by 123
Self-citationSparta, D. R., Hovelsø, N., Mason, A. O., Kantak, P. A., Ung, R. L., Decot, H., & Stuber, G. D. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0235-13.2014 · Cited by 128
Tang, J., LeGros, R., Louneva, N., Yeh, L., Cohen, J., Hahn, C.-G., Blake, D. J., Arnold, S. E., & Talbot, K. (2009) · Nature Precedings · doi:10.1093/hmg/ddp329 · Cited by 125
Shi, W., Wei, X., Wang, X., Du, S., Liu, W., Song, J., & Wang, Y. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902680116 · Cited by 122
The Roles of GABAB Receptors in Cortical Network Activity
Kohl, M. M., & Paulsen, O. (2010) · Advances in pharmacology · doi:10.1016/s1054-3589(10)58009-8 · Cited by 126
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
New Concepts in Dopamine D2 Receptor Biased Signaling and Implications for Schizophrenia Therapy
Urs, N. M., Peterson, S. M., & Caron, M. G. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.10.011 · Cited by 124
Parallel Input Channels to Mouse Primary Visual Cortex
Gao, E., DeAngelis, G. C., & Burkhalter, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6456-09.2010 · Cited by 130
Hemisphere-specific optogenetic stimulation reveals left-right asymmetry of hippocampal plasticity
Kohl, M. M., Shipton, O. A., Deacon, R. M. J., Rawlins, J. N. P., Deisseroth, K. A., & Paulsen, O. (2011) · Nature Neuroscience · doi:10.1038/nn.2915 · Cited by 121
Self-citationCortical inhibitory interneurons control sensory processing
Wood, K. C., Blackwell, J. M., & Geffen, M. N. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.018 · Cited by 130
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
Principles of designing interpretable optogenetic behavior experimentsPreprint
Allen, B. D., Singer, A. C., & Boyden, E. S. (2015) · Learning & Memory · doi:10.1101/lm.038026.114 · Cited by 125
Mice with reduced NMDA receptor expression: more consistent with autism than schizophrenia?
Gandal, M. J., Anderson, R. L., Billingslea, E. N., Carlson, G. C., Roberts, T. P. L., & Siegel, S. J. (2012) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2012.00816.x · Cited by 122
Deep temporal models and active inference
Friston, K. J., Rosch, R., Parr, T., Price, C., & Bowman, H. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.004 · Cited by 119
Lamina-Specific Alterations in Cortical GABAA Receptor Subunit Expression in Schizophrenia
Beneyto, M., Abbott, A., Hashimoto, T., & Lewis, D. A. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq169 · Cited by 121
Anderson, K. M., Collins, M. A., Chin, R., Ge, T., Rosenberg, M. D., & Holmes, A. J. (2020) · Nature Communications · doi:10.1038/s41467-020-16710-x · Cited by 123
Ferrarelli, F., & Phillips, M. L. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20071050 · Cited by 119
Comparative density of CCK- and PV-GABA cells within the cortex and hippocampus
Whissell, P. D., Cajanding, J. D., Fogel, N., & Kim, J. C. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00124 · Cited by 118
Inan, M., Zhao, M., Manuszak, M., Karakaya, C., Rajadhyaksha, A. M., Pickel, V. M., Schwartz, T. H., Goldstein, P. A., & Manfredi, G. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.04.004 · Cited by 118
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Seybold, B. A., Phillips, E. A. K., Schreiner, C. E., & Hasenstaub, A. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.013 · Cited by 118
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Androvic, P., Kirdajova, D., Tureckova, J., Zucha, D., Rohlova, E., Abaffy, P., Kriska, J., Valny, M., Anderova, M., Kubista, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107777 · Cited by 118
Yi, F., Ball, J., Stoll, K., Satpute, V. C., Mitchell, S., Pauli, J. L., Holloway, B. B., Johnston, A. D., Nathanson, N. M., Deisseroth, K. A., et al. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2014.275453 · Cited by 124
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Ellwood, I. T., Patel, T., Wadia, V., Lee, A. T., Liptak, A. T., Bender, K. J., & Sohal, V. S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1221-17.2017 · Cited by 132
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Self-citationStedehouder, J., & Kushner, S. A. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.147 · Cited by 120
James, C. D., Aimone, J. B., Miner, N. E., Vineyard, C. M., Rothganger, F. H., Carlson, K. D., Mulder, S. A., Draelos, T. J., Faust, A., Marinella, M. J., et al. (2017) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2016.11.002 · Cited by 115
Kazim, S. F., Seo, J. H., Bianchi, R., Larson, C. S., Sharma, A., Wong, R. K. S., Gorbachev, K., & Pereira, A. C. (2021) · eNeuro · doi:10.1523/eneuro.0418-20.2020 · Cited by 120
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Shields, L. Y., Kim, H., Zhu, L., Haddad, D., Berthet, A., Pathak, D., Lam, M., Ponnusamy, R., Diaz‐Ramirez, L. G., Gill, T. M., et al. (2015) · Cell Death and Disease · doi:10.1038/cddis.2015.94 · Cited by 113
Bender, A. C., Morse, R. P., Scott, R. C., Holmes, G. L., & Lenck‐Santini, P. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.11.022 · Cited by 115
Metadata
- Authors
- Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K.
- Affiliations
- Stanford University (US)
- Corresponding author
- Deisseroth, Karl
- Venue
- Nature
- Published
- 2009-04-26
- Volume
- 459
- Issue
- 7247
- Pages
- 698-702
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3969859
- OpenAlex
- W2047347093
- Cited by
- 2,606
- References
- 31
- Citations by year
- 2026: 118 · 2025: 143 · 2024: 155 · 2023: 138 · 2022: 169 · 2021: 183 · 2020: 190 · 2019: 143 · 2018: 154 · 2017: 172 · 2016: 171 · 2015: 158 · 2014: 143 · 2013: 151 · 2012: 136
- FWCI
- 67.26
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (F31NS059160)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- parvalbumin interneurons, gamma oscillations, fast-spiking interneurons, cortical circuits, optogenetics, signal-to-noise ratio, sensory input, cortical inhibition, schizophrenia, autism spectrum disorder, neocortex, neuronal synchronization, information processing, attention, signal decoding
- MeSH terms
- Animals, Cell Line, Cerebral Cortex, Cortical Synchronization, Electrophysiology, Evoked Potentials, Interneurons, Parvalbumins, Periodicity, Photic Stimulation, Signal Transduction, Prefrontal Cortex, Neocortex, Mice
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