The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
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.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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]
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
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
Self-citation
Cited by
Sorted by citations
Items 201–300 of 1,013
Damaj, L., Lupien‐Meilleur, A., Lortie, A., Riou, É., Ospina, L. H., Gagnon, L., Vanasse, C., & Rossignol, E. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.21 · Cited by 206
Gandal, M. J., Sisti, J., Klook, K., Ortinski, P. I., Leitman, V, Liang, Y., Thieu, T., Anderson, R., Pierce, R. C., Jonak, G., et al. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.69 · Cited by 204
Attentional Modulation of Cell-Class-Specific Gamma-Band Synchronization in Awake Monkey Area V4
Vinck, M. A., Womelsdorf, T., Buffalo, E. A., Desimone, R., & Fries, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.019 · Cited by 211
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
Steullet, P., Cabungcal, J.-H., Kulak, A., Kraftsik, R., Chen, Y., Dalton, T. P., Cuenod, M., & Do, K. Q. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3857-09.2010 · Cited by 202
Lee, A. T., Vogt, D. L., Rubenstein, J. L. R., & Sohal, V. S. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1157-14.2014 · Cited by 211
Self-citationXia, F., Richards, B. A., Tran, M. M., Josselyn, S. A., Takehara‐Nishiuchi, K., & Frankland, P. W. (2017) · eLife · doi:10.7554/elife.27868 · Cited by 212
Pyramidal Neurons in Prefrontal Cortex Receive Subtype-Specific Forms of Excitation and Inhibition
Lee, A. T., Gee, S. M., Vogt, D., Patel, T., Rubenstein, J. L., & Sohal, V. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.031 · Cited by 201
Self-citationCanetta, S., Bolkan, S., Padilla-Coreano, N., Song, L. J., Sahn, R., Harrison, N. L., Gordon, J. A., Brown, A., & Kellendonk, C. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.222 · Cited by 201
Circular inferences in schizophrenia
Jardri, R., & Denève, S. (2013) · Brain · doi:10.1093/brain/awt257 · Cited by 201
Miller, O. H., Moran, J. T., & Hall, B. J. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.07.028 · Cited by 200
Two-photon single-cell optogenetic control of neuronal activity by sculpted light
Andrásfalvy, B. K., Zemelman, B. V., Tang, J., & Vaziri, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006620107 · Cited by 212
Cornwell, B. R., Salvadore, G., Furey, M., Marquardt, C. A., Brutsché, N. E., Grillon, C., & Zarate, C. A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.029 · Cited by 205
Wu, F., Stark, E., Im, M., Cho, I., Yoon, E.-S., Buzsáki, G., Wise, K. D., & Yoon, E. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056012 · Cited by 200
GABAA receptors and plasticity of inhibitory neurotransmission in the central nervous system
Fritschy, J., & Panzanelli, P. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12534 · Cited by 212
The NAD+-mediated self-inhibition mechanism of pro-neurodegenerative SARM1
Jiang, Y., Liu, T., Lee, C., Chang, Q., Yang, J. H., & Zhang, Z. (2020) · Nature · doi:10.1038/s41586-020-2862-z · Cited by 207
Interneuron Types as Attractors and Controllers
Fishell, G., & Kepecs, Á. (2019) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070918-050421 · Cited by 212
Udakis, M., Pedrosa, V., Chamberlain, S. E. L., Clopath, C., & Mellor, J. R. (2020) · Nature Communications · doi:10.1038/s41467-020-18074-8 · Cited by 205
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
Krystal, J. H., Anticevic, A., Yang, G., Dragoi, G., Driesen, N. R., Wang, X., & Murray, J. D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.01.004 · Cited by 201
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
Fukunaga, I., Herb, J. T., Köllő, M., Boyden, E. S., & Schaefer, A. T. (2014) · Nature Neuroscience · doi:10.1038/nn.3760 · Cited by 200
Mouse Primary Visual Cortex Is Used to Detect Both Orientation and Contrast Changes
Glickfeld, L. L., Histed, M. H., & Maunsell, J. H. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3560-13.2013 · Cited by 200
A photoactivatable Cre–loxP recombination system for optogenetic genome engineering
Kawano, F., Okazaki, R., Yazawa, M., & Sato, M. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2205 · Cited by 191
Cortical interneuron development: a tale of time and space
Hu, J. S., Vogt, D., Sandberg, M., & Rubenstein, J. L. (2017) · Development · doi:10.1242/dev.132852 · Cited by 189
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
Complementary control of sensory adaptation by two types of cortical interneurons
Natan, R. G., Briguglio, J. J., Mwilambwe-Tshilobo, L., Jones, S. I., Aizenberg, M., Goldberg, E. M., & Geffen, M. N. (2015) · eLife · doi:10.7554/elife.09868 · Cited by 200
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
Dlx5andDlx6Regulate the Development of Parvalbumin-Expressing Cortical Interneurons
Wang, Y., Dye, C. A., Sohal, V. S., Long, J. E., Estrada, R. C., Roztocil, T., Lufkin, T., Deisseroth, K. A., Baraban, S. C., & Rubenstein, J. L. R. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5963-09.2010 · Cited by 186
Self-citationApolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease
Najm, R., Jones, E. A., & Huang, Y. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0324-6 · Cited by 183
Genetics and Function of Neocortical GABAergic Interneurons in Neurodevelopmental Disorders
Rossignol, E. (2011) · Neural Plasticity · doi:10.1155/2011/649325 · Cited by 192
Parvalbumin-Expressing Interneurons Linearly Control Olfactory Bulb Output
Kato, H., Gillet, S. N., Peters, A. J., Isaacson, J. S., & Komiyama, T. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.036 · Cited by 186
GABAB receptor modulation of synaptic function
Chalifoux, J. R., & Carter, A. G. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.004 · Cited by 191
GABA level, gamma oscillation, and working memory performance in schizophrenia
Chen, C. A., Stanford, A. D., Mao, X., Abi‐Dargham, A., Shungu, D. C., Lisanby, S. H., Schroeder, C. E., & Kegeles, L. S. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.03.007 · Cited by 181
The Diversity of Cortical Inhibitory Synapses
Kubota, Y., Karube, F., Nomura, M., & Kawaguchi, Y. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00027 · Cited by 180
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
Single-Trial Speech Suppression of Auditory Cortex Activity in Humans
Flinker, A., Chang, E. F., Kirsch, H. E., Barbaro, N. M., Crone, N. E., & Knight, R. T. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1809-10.2010 · Cited by 185
Rajasethupathy, P., Ferenczi, E., & Deisseroth, K. A. (2016) · Cell · doi:10.1016/j.cell.2016.03.047 · Cited by 183
Self-citationDysconnectivity, 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
Fragile X Syndrome: The GABAergic System and Circuit Dysfunction
Paluszkiewicz, S. M., Martin, B. S., & Huntsman, M. M. (2011) · Developmental Neuroscience · doi:10.1159/000329420 · Cited by 185
Recurrent network activity drives striatal synaptogenesis
Kozorovitskiy, Y., Saunders, A., Johnson, C. A., Lowell, B. B., & Sabatini, B. L. (2012) · Nature · doi:10.1038/nature11052 · Cited by 176
Wang, J., Ethridge, L. E., Mosconi, M. W., White, S. P., Binder, D. K., Pedapati, E. V., Erickson, C. A., Byerly, M. J., & Sweeney, J. A. (2017) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-017-9191-z · Cited by 176
Rapid Target-Specific Remodeling of Fast-Spiking Inhibitory Circuits after Loss of Dopamine
Gittis, A. H., Hang, G. B., LaDow, E., Shoenfeld, L. R., Atallah, B. V., Finkbeiner, S. M., & Kreitzer, A. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.035 · Cited by 181
Uhlhaas, P. J., & Singer, W. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr034 · Cited by 176
Altered Cortical Ensembles in Mouse Models of Schizophrenia
Hamm, J. P., Peterka, D. S., Gogos, J. A., & Yuste, R. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.019 · Cited by 175
A new mode of corticothalamic transmission revealed in the Gria4−/− model of absence epilepsy
Paz, J. T., Bryant, A. S., Peng, K. K., Fenno, L. E., Yizhar, O., Frankel, W. N., Deisseroth, K. A., & Huguenard, J. R. (2011) · Nature Neuroscience · doi:10.1038/nn.2896 · Cited by 175
Self-citationFenno, L. E., Ramakrishnan, C., Kim, Y. S., Evans, K. E., Lo, M., Vesuna, S. S., Inoue, M., Cheung, K. Y. M., Yuen, E., Pichamoorthy, N., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.003 · Cited by 180
Self-citationThe space where aging acts: focus on the GABA ergic synapse
Różycka, A., & Liguz‐Lecznar, M. (2017) · Aging Cell · doi:10.1111/acel.12605 · Cited by 180
Circuit dynamics of adaptive and maladaptive behaviour
Deisseroth, K. A. (2014) · Nature · doi:10.1038/nature12982 · Cited by 176
Self-citationConvergent 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
Klune, C. B., Jin, B., & DeNardo, L. A. (2021) · eLife · doi:10.7554/elife.64567 · Cited by 178
The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders
Wen, T. H., Binder, D. K., Ethell, I. M., & Razak, K. A. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00270 · Cited by 170
Tuning of fast-spiking interneuron properties by an activity-dependent transcriptional switch
Dehorter, N., Ciceri, G., Bartolini, G., Lim, L., del Pino, I., & Marín, O. (2015) · Science · doi:10.1126/science.aab3415 · Cited by 169
Farzan, F., Barr, M. S., LEVINSON, A. J., Chen, R. E., Wong, W., Fitzgerald, P. B., & Daskalakis, Z. J. (2010) · Brain · doi:10.1093/brain/awq046 · Cited by 170
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
Senkowski, D., & Gallinat, J. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.034 · Cited by 179
Dhamne, S. C., Silverman, J. L., Super, C. E., Lammers, S. H. T., Hameed, M. Q., Modi, M. E., Copping, N. A., Pride, M. C., Smith, D. G., Rotenberg, A., et al. (2017) · Molecular Autism · doi:10.1186/s13229-017-0142-z · Cited by 168
Cadinu, D., Grayson, B., Podda, G., Harte, M., Doostdar, N., & Neill, J. C. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.11.045 · Cited by 169
Dunlop (2016) · doi:10.1038/npp.2015.293 · Cited by 166
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
Neuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165
Saunders, A. B., Johnson, C. A., & Sabatini, B. L. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00047 · Cited by 165
Long-Range Neural Synchrony in Behavior
Harris, A. Z., & Gordon, J. A. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034111 · Cited by 168
Murray, A., Wołoszynowska-Fraser, M. U., Ansel-Bollepalli, L., Marshall-Phelps, K. L., Foggetti, A., Crouch, B., Riedel, G., & Wulff, P. (2015) · Scientific Reports · doi:10.1038/srep16778 · Cited by 173
Downregulation of Parvalbumin at Cortical GABA Synapses Reduces Network Gamma Oscillatory Activity
Volman, V., Behrens, M. M., & Sejnowski, T. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3041-11.2011 · Cited by 164
Powell, S. B., Sejnowski, T. J., & Behrens, M. M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.01.049 · Cited by 164
Ethridge, L. E., White, S. P., Mosconi, M. W., Wang, J., Pedapati, E. V., Erickson, C. A., Byerly, M., & Sweeney, J. A. (2017) · Molecular Autism · doi:10.1186/s13229-017-0140-1 · Cited by 164
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
Favero, M., Sotuyo, N. P., Lopez, E., Kearney, J. A., & Goldberg, E. M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0193-18.2018 · Cited by 163
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 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
Neuroimaging studies of GABA in schizophrenia: a systematic review with meta-analysis
Egerton, A., Modinos, G., Ferrera, D., & McGuire, P. K. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.124 · Cited by 162
Grent-‘t-Jong, T., Groß, J., Goense, J. B. M., Wibral, M., Gajwani, R., Gumley, A. I., Lawrie, S. M., Schwannauer, M., Schultze‐Lutter, F., Schröder, T. N., et al. (2018) · eLife · doi:10.7554/elife.37799 · Cited by 174
Behrens, M. M., & B, T. J. S. A. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2009.06.002 · Cited by 163
Communication in Neural Circuits: Tools, Opportunities, and Challenges
Lerner, T. N., Ye, L., & Deisseroth, K. (2016) · Cell · doi:10.1016/j.cell.2016.02.027 · Cited by 159
Self-citationKocsis, B. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.10.002 · Cited by 159
Nectow, A. R., & Nestler, E. J. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-00382-z · Cited by 159
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
Do, K. Q., Cuenod, M., & Hensch, T. K. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv065 · Cited by 158
Tada, M., Nagai, T., Kirihara, K., Koike, S., Suga, M., Araki, T., Kobayashi, T., & Kasai, K. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu278 · Cited by 164
Optogenetic Control of Cells and Circuits
Miesenböck, G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100109-104051 · Cited by 165
Implications for reactive oxygen species in schizophrenia pathogenesis
Koga, M., Serritella, A. V., Sawa, A., & Sedlak, T. W. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.06.022 · Cited by 164
Computational psychiatry: from synapses to sentience
Friston, K. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01743-z · Cited by 168
Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain?
Jardri, R., Hugdahl, K., Hughes, M., Brunelin, J., Waters, F., Alderson-Day, B., Smailes, D., Sterzer, P., Corlett, P. R., Leptourgos, P., et al. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw075 · Cited by 157
Stimulus Selectivity and Spatial Coherence of Gamma Components of the Local Field Potential
Jia, X., Smith, M. A., & Kohn, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0645-11.2011 · Cited by 160
Optogenetic Control of Targeted Peripheral Axons in Freely Moving Animals
Towne, C., Montgomery, K. L., Iyer, S. M., Deisseroth, K., & Delp, S. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072691 · Cited by 156
Self-citationThe Brain’s Extracellular Matrix and Its Role in Synaptic Plasticity
Frischknecht, R., & Gundelfinger, E. D. (2012) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-7091-0932-8_7 · Cited by 156
Baseline gamma power during auditory steady-state stimulation in schizophrenia
M. Spencer, K. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00190 · Cited by 155
Deficits in Transcriptional Regulators of Cortical Parvalbumin Neurons in Schizophrenia
Volk, D. W., Matsubara, T., Li, S., Sengupta, E. J., Georgiev, D. D., Minabe, Y., Sampson, A. R., Hashimoto, T., & Lewis, D. A. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12030305 · Cited by 161
Challenges and Opportunities for Next-Generation Intracortically Based Neural Prostheses
Gilja, V., Chestek, C. A., Diester, I., Henderson, J. M., Deisseroth, K. A., & Shenoy, K. V. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2107553 · Cited by 160
Self-citationAntonoudiou, 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
Translation-relevant EEG phenotypes in a mouse model of Fragile X Syndrome.
Lovelace, J. W., Ethell, I. M., Binder, D. K., & Razak, K. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.03.012 · Cited by 154
Edgar, J. C., Khan, S. Y., Blaskey, L., Chow, V. Y., Rey, M., Gaetz, W., Cannon, K. M., Monroe, J. F., Cornew, L., Qasmieh, S., et al. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1904-x · Cited by 153
Sun, L., Grutzner, C., Bolte, S., Wibral, M., Tozman, T., Schlitt, S., Poustka, F., Singer, W., Freitag, C. M., & Uhlhaas, P. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1073-12.2012 · Cited by 151
Rotaru, D. C., Yoshino, H., Lewis, D. A., Ermentrout, G. B., & Gonzalez-Burgos, G. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1970-10.2011 · Cited by 151
Bao, H., Asrican, B., Li, W., Gu, B., Wen, Z., Lim, S.-A., Haniff, I., Ramakrishnan, C., Deisseroth, K., Philpot, B., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.10.003 · Cited by 151
Self-citationHeise, K.-F., Zimerman, M., Hoppe, J., Gerloff, C. P., Wegscheider, K., & Hummel, F. C. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4094-12.2013 · Cited by 158
Subcortical Source and Modulation of the Narrowband Gamma Oscillation in Mouse Visual Cortex
Saleem, A. B., Lien, A. D., Krumin, M., Haider, B., Rosón, M. R., Ayaz, A., Reinhold, K., Busse, L., Carandini, M., & Harris, K. D. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.028 · Cited by 154
60 YEARS OF POMC: Regulation of feeding and energy homeostasis by α-MSH
Anderson, E. J. P., Çakır, I., Carrington, S. J. S., Cone, R. D., Ghamari‐Langroudi, M., Gillyard, T. R., Gimenez, L. E., & Litt, M. J. (2016) · Journal of Molecular Endocrinology · doi:10.1530/jme-16-0014 · Cited by 158
Chung, D. W., Fish, K. N., & Lewis, D. A. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16010025 · Cited by 148
“Because cortical gamma oscillations require the activity of parvalbumin-containing (PV) interneurons(4, 5), deficient cortical PV interneuron activity could provide the neural substrate for altered prefrontal gamma oscillations and consequently impaired working memory in schizophrenia.”
Background
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
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
