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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 101–200 of 1,013
Cortical gamma band synchronization through somatostatin interneurons
Veit, J., Hakim, R., Jadi, M. P., B, T. J. S. A., & Adesnik, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4562 · Cited by 376
Auditory dysfunction in schizophrenia: integrating clinical and basic features
Javitt, D. C., & Sweet, R. A. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4002 · Cited by 377
From Diagnosis to Treatment: Recent Advances in Patient-Friendly Biosensors and Implantable Devices
Li, P., Lee, G., Kim, S. Y., Kwon, S. Y., Kim, H., & Park, S. (2021) · ACS Nano · doi:10.1021/acsnano.0c06688 · Cited by 369
Sarm1-Mediated Axon Degeneration Requires Both SAM and TIR Interactions
Gerdts, J., Summers, D. W., Sasaki, Y., DiAntonio, A., & Milbrandt, J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1197-13.2013 · Cited by 367
All-Optical Interrogation of Neural Circuits
Emiliani, V., Cohen, A. E., Deisseroth, K. A., & Häusser, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2916-15.2015 · Cited by 369
Self-citationFunctions and Mechanisms of Sleep
Zielinski, M. R., McKenna, J. T., & McCarley, R. W. (2016) · AIMS neuroscience · doi:10.3934/neuroscience.2016.1.67 · Cited by 392
Distinct inhibitory circuits orchestrate cortical beta and gamma band oscillations
Chen, G., Zhang, Y., Li, X., Zhao, X., Ye, Q., Lin, Y., Tao, H. W., Rasch, M. J., & Zhang, X. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.033 · Cited by 345
Dynamic circuit motifs underlying rhythmic gain control, gating and integration
Womelsdorf, T., Valiante, T. A., Sahin, N. T., Miller, K. J., & Tiesinga, P. (2014) · Nature Neuroscience · doi:10.1038/nn.3764 · Cited by 341
Sturman, D. A., & Moghaddam, B. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.04.003 · Cited by 368
Remote Control of Neuronal Signaling
Rogan, S. C., & Roth, B. L. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.003020 · Cited by 339
Castro, D. C., Cole, S. L., & Berridge, K. C. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00090 · Cited by 355
Cho, K. K. A., Hoch, R., Lee, A. T., Patel, T., Rubenstein, J. L. R., & Sohal, V. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.019 · Cited by 329
Self-citationCircuits for Action and Cognition: A View from the Superior Colliculus
Basso, M. A., & May, P. J. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061234 · Cited by 347
Tools for Probing Local Circuits: High-Density Silicon Probes Combined with Optogenetics
Buzsáki, G., Stark, E., Berényi, A., Khodagholy, D., Kipke, D. R., Yoon, E., & Wise, K. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.028 · Cited by 337
Two-photon optogenetic toolbox for fast inhibition, excitation and bistable modulation
Prakash, R., Yizhar, O., Grewe, B. F., Ramakrishnan, C., Wang, N. N., Goshen, I., Packer, A. M., Peterka, D. S., Yuste, R., Schnitzer, M. J., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2215 · Cited by 344
Self-citationSelimbeyoglu, A., Kim, C. K., Inoue, M., Lee, S. Y., Hong, A. S. O., Kauvar, I., Ramakrishnan, C., Fenno, L. E., Davidson, T. J., Wright, M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah6733 · Cited by 326
Self-citationLong‐range connectivity of mouse primary somatosensory barrel cortex
Aronoff, R., Matyas, F., Mateo, C., Ciron, C., Schneider, B., & Petersen, C. C. H. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07264.x · Cited by 323
Hashemi, E., Ariza, J., Rogers, H., Noctor, S. C., & Martínez-Cerdeño, V. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw021 · Cited by 322
Validating γ oscillations and delayed auditory responses as translational biomarkers of autism
Gandal, M. J., Edgar, J. C., Ehrlichman, R. S., Mehta, M., Roberts, T. P. L., & Siegel, S. J. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.031 · Cited by 314
Osakada, F., Mori, T., Cetin, A. H., Marshel, J. H., Virgen, B., & Callaway, E. M. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.005 · Cited by 316
From maps to mechanisms through neuroimaging of schizophrenia
Meyer‐Lindenberg, A. (2010) · Nature · doi:10.1038/nature09569 · Cited by 325
Erbb4 Deletion from Fast-Spiking Interneurons Causes Schizophrenia-like Phenotypes
del Pino, I., García-Frigola, C., Dehorter, N., Brotons-Mas, J. R., Alvarez-Salvado, E., Martínez de Lagrán, M., Ciceri, G., Gabaldón, M. V., Moratal, D., Dierssen, M., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.010 · Cited by 314
State-dependent architecture of thalamic reticular subnetworks
Halassa, M. M., Chen, Z., Wimmer, R. D., Brunetti, P. M., Zhao, S., Zikopoulos, B., Wang, F., Brown, E. N., & Wilson, M. A. (2014) · Cell · doi:10.1016/j.cell.2014.06.025 · Cited by 309
Miyamichi, K., Shlomai, Y., Shu, M., Weissbourd, B., Luo, L., & Mizrahi, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.027 · Cited by 309
Sleep Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis
Prerau, M. J., Brown, R. E., Bianchi, M. T., Ellenbogen, J. M., & Purdon, P. L. (2016) · Physiology · doi:10.1152/physiol.00062.2015 · Cited by 324
Local and long-range functional connectivity is reduced in concert in autism spectrum disorders
Khan, S., Gramfort, A., Shetty, N. R., Kitzbichler, M. G., Ganesan, S., Moran, J. M., Lee, S. M., Gabrieli, J. D. E., Tager-Flusberg, H. B., Joseph, R. M., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214533110 · Cited by 303
Fear and safety engage competing patterns of theta-gamma coupling in the basolateral amygdala
Stujenske, J. M., Likhtik, E., Topiwala, M. A., & Gordon, J. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.026 · Cited by 303
GABAergic Signaling as Therapeutic Target for Autism Spectrum Disorders
Cellot, G., & Cherubini, E. (2014) · Frontiers in Pediatrics · doi:10.3389/fped.2014.00070 · Cited by 323
Time-frequency super-resolution with superlets
Moca, V. V., Bârzan, H., Nagy-Dăbâcan, A., & Muresan, R. C. (2021) · Nature Communications · doi:10.1038/s41467-020-20539-9 · Cited by 317
Kann, O., Papageorgiou, I. E., & Draguhn, A. (2014) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.104 · Cited by 295
The 40-Hz Auditory Steady-State Response in Patients With Schizophrenia: A Meta-analysis
Thuné, H., Recasens, M., & Uhlhaas, P. J. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.2619 · Cited by 292
Assessing cortical network properties using TMS–EEG
Rogasch, N. C., & Fitzgerald, P. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.22016 · Cited by 297
Cortically projecting basal forebrain parvalbumin neurons regulate cortical gamma band oscillations
Kim, T., Thankachan, S., McKenna, J. T., McNally, J. M., Yang, C. Z., Choi, J. H., Chen, L., Kocsis, B., Deisseroth, K. A., Strecker, R. E., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1413625112 · Cited by 298
Self-citationOscillating circuitries in the sleeping brain
Adamantidis, A. R., Gutierrez Herrera, C., & Gent, T. C. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0223-4 · Cited by 281
Lensjø, K. K., Lepperød, M. E., Dick, G., Hafting, T., & Fyhn, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2504-16.2016 · Cited by 281
Regulation of autism-relevant behaviors by cerebellar-prefrontal cortical circuits
Kelly, E., Meng, F., Fujita, H., Morgado, F., Kazemi, Y., Rice, L. C., Ren, C., Escamilla, C. O., Gibson, J. M., Sajadi, S., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0665-z · Cited by 280
Miller, K. J., Honey, C. J., Hermes, D., Rao, R. P. N., den Nijs, M., & Ojemann, J. G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.070 · Cited by 282
Basal forebrain control of wakefulness and cortical rhythms
Anaclet, C., Pedersen, N. P., Ferrari, L. L., Venner, A., Bass, C. E., Arrigoni, E., & Fuller, P. M. (2015) · Nature Communications · doi:10.1038/ncomms9744 · Cited by 273
Dynamic causal modelling revisited
Friston, K. J., Preller, K. H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A., & Zeidman, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.045 · Cited by 271
Neurobiology of premature brain injury
Salmaso, N., Jablonska, B., Scafidi, J., Vaccarino, F. M., & Gallo, V. (2014) · Nature Neuroscience · doi:10.1038/nn.3604 · Cited by 285
Gandal, M. J., Edgar, J. C., Klook, K., & Siegel, S. J. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.02.007 · Cited by 269
Alterations in cortical interneurons and cognitive function in schizophrenia
Dienel, S. J., & Lewis, D. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.06.020 · Cited by 281
The interneuron energy hypothesis: Implications for brain disease
Kann, O. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.005 · Cited by 270
Genetically targeted magnetic control of the nervous system
Wheeler, M. A., Smith, C. J., Ottolini, M., Barker, B. S., Purohit, A. M., Grippo, R. M., Gaykema, R. P. A., Spano, A., Beenhakker, M. P., Kucenas, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4265 · Cited by 271
Spontaneous Gamma Activity in Schizophrenia
Hirano, Y., Oribe, N., Kanba, S., Onitsuka, T., Nestor, P. G., & Spencer, K. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2642 · Cited by 274
Steullet, P., Cabungcal, J. H., Monin, A., Dwir, D., O'Donnell, P., Cuenod, M., & Do, K. Q. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2014.06.021 · Cited by 262
Do gamma oscillations play a role in cerebral cortex?
Ray, S., & Maunsell, J. H. R. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.002 · Cited by 272
A sexually dimorphic hypothalamic circuit controls maternal care and oxytocin secretion
Scott, N., Prigge, M., Yizhar, O., & Kimchi, T. (2015) · Nature · doi:10.1038/nature15378 · Cited by 261
Self-citationAlterations of cortical GABA neurons and network oscillations in schizophrenia
Gonzalez-Burgos, G., Hashimoto, T., & Lewis, D. A. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-010-0124-8 · Cited by 260
Cellular anatomy of the mouse primary motor cortex
Muñoz-Castañeda, R., Zingg, B., Matho, K. S., Chen, X., Wang, Q., Foster, N. N., Li, A., Narasimhan, A., Hirokawa, K. E., Huo, B., et al. (2021) · Nature · doi:10.1038/s41586-021-03970-w · Cited by 265
Treating Working Memory Deficits in Schizophrenia: A Review of the Neurobiology
Lett, T. A., Voineskos, A. N., Kennedy, J. L., Levine, B., & Daskalakis, Z. J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.07.026 · Cited by 257
Dopamine Neuron-Specific Optogenetic Stimulation in Rhesus Macaques
Stauffer, W. R., Lak, A., Yang, A., Borel, M., Paulsen, O., Boyden, E. S., & Schultz, W. (2016) · Cell · doi:10.1016/j.cell.2016.08.024 · Cited by 265
Miesenböck, G. (2009) · Science · doi:10.1126/science.1174520 · Cited by 257
Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay
Carr, M. F., Karlsson, M. P., & Frank, L. M. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.014 · Cited by 265
Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits
Cardin, J. A. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.07.015 · Cited by 254
Hägglund, M., Borgius, L., Dougherty, K. J., & Kiehn, O. (2010) · Nature Neuroscience · doi:10.1038/nn.2482 · Cited by 267
Making Waves: Initiation and Propagation of Corticothalamic Ca2+ Waves In Vivo
Stroh, A., Adelsberger, H., Groh, A., Rühlmann, C., Fischer, S., Schierloh, A., Deisseroth, K. A., & Konnerth, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.031 · Cited by 249
Self-citationTargeting peripheral somatosensory neurons to improve tactile-related phenotypes in ASD models
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
Royer, S., Zemelman, B. V., Barbic, M., Losonczy, A., Buzsáki, G., & Magee, J. C. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07250.x · Cited by 247
Hu, W., Zhang, M., Czéh, B., Flügge, G., & Zhang, W. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.31 · Cited by 246
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Hesp, C., Smith, R., Parr, T., Allen, M., Friston, K. J., & Ramstead, M. J. D. (2021) · Neural Computation · doi:10.1162/neco_a_01341 · Cited by 246
GABA Neuron Alterations, Cortical Circuit Dysfunction and Cognitive Deficits in Schizophrenia
González‐Burgos, G., Fish, K. N., & Lewis, D. A. (2011) · Neural Plasticity · doi:10.1155/2011/723184 · Cited by 250
Uhlhaas, P. J., & Singer, W. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.11.019 · Cited by 243
Uzunova, G., Pallanti, S., & Hollander, E. (2015) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2015.1085597 · Cited by 257
Functional neuronal circuitry and oscillatory dynamics in human brain organoids
Sharf, T., van der Molen, T., Glasauer, S. M. K., Guzman, E., Buccino, A. P., Luna, G., Cheng, Z., Audouard, M., Ranasinghe, K. G., Kudo, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32115-4 · Cited by 251
Parvalbumin interneurons of hippocampus tune population activity at theta frequency
Amilhon, B., Huh, C. Y. L., Manseau, F., Ducharme, G., Nichol, H., Adamantidis, A., & Williams, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.027 · Cited by 241
Synaptic Mechanisms Underlying Sparse Coding of Active Touch
Crochet, S., Poulet, J. F. A., Kremer, Y., & Petersen, C. C. H. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.022 · Cited by 251
Deep temporal models and active inference
Friston, K. J., Rosch, R. E., Parr, T., Price, C. J., & Bowman, H. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.009 · Cited by 256
Revisiting the role of neurons in neurovascular coupling
Cauli, B. (2010) · Frontiers in Neuroenergetics · doi:10.3389/fnene.2010.00009 · Cited by 236
The synaptic hypothesis of schizophrenia version III: a master mechanism
Howes, O. D., & Onwordi, E. C. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02043-w · Cited by 257
Cohen, S. M., Tsien, R. W., GOFF, D. C., & Halassa, M. M. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2014.12.026 · Cited by 249
Martínez‐Losa, M., Tracy, T. E., Ma, K., Verret, L., Clemente-Perez, A., Khan, A. S., Cobos, I., Ho, K., Gan, L., Mucke, L., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.029 · Cited by 246
Gamma Entrainment: Impact on Neurocircuits, Glia, and Therapeutic Opportunities
Adaikkan, C., & Tsai, L. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.11.001 · Cited by 241
Cabungcal, J.-H., Steullet, P., Kraftsik, R., Cuenod, M., & Do, K. Q. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.09.020 · Cited by 232
Smucny, J., Dienel, S. J., Lewis, D. A., & Carter, C. S. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01089-0 · Cited by 231
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Bosman, C. A., Lansink, C. S., & Pennartz, C. M. A. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12606 · Cited by 239
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Beltramo, R., D’Urso, G., Maschio, M. D., Farisello, P., Bovetti, S., Clovis, Y. M., Lassi, G., Tucci, V., Tonelli, D. D. P., & Fellin, T. (2013) · Nature Neuroscience · doi:10.1038/nn.3306 · Cited by 238
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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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