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
Flagged first, then by citations
Cited by
Sorted by citations
Items 901–1,000 of 1,013
Corticofugal GABAergic projection neurons in the mouse frontal cortex
Tomioka, R., Sakimura, K., & Yanagawa, Y. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00133 · Cited by 48
Adaptive Changes in Neuronal Synchronization in Macaque V4
Wang, Y., Iliescu, B. F., Ma, J., Josić́, K., & Dragoi, V. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6227-10.2011 · Cited by 47
Gerits, A., Vancraeyenest, P., Vreysen, S., Laramée, M., Michiels, A., Gijsbers, R., den Haute, C. V., Moons, L., Debyser, Z., Baekelandt, V., et al. (2015) · Neurophotonics · doi:10.1117/1.nph.2.3.031209 · Cited by 45
Different Paths to Core Pathology: The Equifinal Model of the Schizophrenia Syndrome
Green, I. W., & Glausier, J. R. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv136 · Cited by 46
Hu, H., & Agmon, A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00304.2015 · Cited by 48
Kupferschmidt, D. A., & Gordon, J. A. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818771821 · Cited by 46
Morello, N., Schina, R., Pilotto, F., Phillips, M. L., Melani, R., Plicato, O., Pizzorusso, T., Pozzo‐Miller, L. D., & Giustetto, M. (2018) · eNeuro · doi:10.1523/eneuro.0086-18.2018 · Cited by 45
The interhemispheric miscommunication theory of auditory verbal hallucinations in schizophrenia
Steinmann, S., Leicht, G., & Mulert, C. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.02.002 · Cited by 44
Baho, E., Chattopadhyaya, B., Lavertu-Jolin, M., Mazziotti, R. M., Awad, P. N., Chehrazi, P., Groleau, M., Jahannault-Talignani, C., Sanon, N. T., Vaucher, E., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2881-18.2019 · Cited by 44
Structural and cellular biology of adeno-associated virus attachment and entry
Zengel, J. R., & Carette, J. E. (2020) · Advances in virus research · doi:10.1016/bs.aivir.2020.01.002 · Cited by 47
McKenna, J. T., Thankachan, S., Uygun, D. S., Shukla, C., McNally, J. M., Schiffino, F. L., Cordeira, J., Katsuki, F., Zant, J. C., Gamble, M. C., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.029 · Cited by 44
Self-citationSchoonover, K. E., Dienel, S. J., & Lewis, D. A. (2020) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2020.100015 · Cited by 45
A circuit model of auditory cortex
Park, Y., & Geffen, M. N. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008016 · Cited by 46
The Role of Rhythmic Neural Synchronization in Rest and Task Conditions
Deco, G., Buehlmann, A., Masquelier, T., & Hugues, E. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00004 · Cited by 44
Strüber, M., Jonas, P., & Bartos, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412996112 · Cited by 43
Juvenile stress induces behavioral change and affects perineuronal net formation in juvenile mice
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Matsumoto, Y., Okamoto, M., Aoki, S., & Ishihara, T. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0442-z · Cited by 39
Ali, F., Baringer, S. L., Neal, A., Choi, E. Y., & Kwan, A. C. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181190 · Cited by 43
Gamma oscillation plasticity is mediated via parvalbumin interneurons
Hadler, M. D., Tzilivaki, A., Schmitz, D., Alle, H., & Geiger, J. R. P. (2024) · Science Advances · doi:10.1126/sciadv.adj7427 · Cited by 45
Logothetis, N. K. (2010) · Nature · doi:10.1038/nature09532 · Cited by 44
Tools, methods, and applications for optophysiology in neuroscience
Smedemark-Margulies, N., & Trapani, J. G. (2013) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2013.00018 · Cited by 43
NMDA receptor-dependent function and plasticity in inhibitory circuits
Moreau, A. W., & Kullmann, D. M. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.004 · Cited by 44
Betterton, R., Broad, L. M., Tsaneva-Atanasova, K. T., & Mellor, J. R. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13582 · Cited by 45
Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus
Strüber, M., Sauer, J., Jónás, P., & Bartos, M. (2017) · Nature Communications · doi:10.1038/s41467-017-00936-3 · Cited by 44
Segregated Excitatory–Inhibitory Recurrent Subnetworks in Layer 5 of the Rat Frontal Cortex
Morishima, M., Kobayashi, K., Kato, S., Kobayashi, K., & Kawaguchi, Y. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx276 · Cited by 43
Motor output, neural states and auditory perception
Reznik, D., & Mukamel, R. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.10.021 · Cited by 47
Feng, F., Headley, D. B., Amir, A., Kanta, V., Chen, Z., Paré, D., & Nair, S. S. (2019) · eNeuro · doi:10.1523/eneuro.0388-18.2018 · Cited by 45
Arousal State-Dependent Alterations in VTA-GABAergic Neuronal Activity
Eban-Rothschild, A., Borniger, J. C., Rothschild, G., Giardino, W. J., Morrow, J. G., & de Lecea, L. (2020) · eNeuro · doi:10.1523/eneuro.0356-19.2020 · Cited by 42
Pensold, D., Reichard, J., van Loo, K. M. J., Ciganok-Hückels, N., Hahn, A., Bayer, C., Liebmann, L., Groß, J., Tittelmeier, J., Lingner, T., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa009 · Cited by 45
Dynamic Suppression of Average Facial Structure Shapes Neural Tuning in Three Macaque Face Patches
Koyano, K. W., Jones, A. P., McMahon, D. B. T., Waidmann, E. N., Russ, B. E., & Leopold, D. A. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.070 · Cited by 44
Forli, A., Pisoni, M., Printz, Y., Yizhar, O., & Fellin, T. (2021) · eLife · doi:10.7554/elife.63359 · Cited by 48
Self-citationParvalbumin interneuron dendrites enhance gamma oscillations
Kriener, B., Hu, H., & Vervaeke, K. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110948 · Cited by 48
Cell Type-Specific Control of Neuronal Responsiveness by Gamma-Band Oscillatory Inhibition
Otte, S. L., Hasenstaub, A. R., & Callaway, E. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4818-09.2010 · Cited by 43
Subgroups of parvalbumin-expressing interneurons in layers 2/3 of the visual cortex
Helm, J. S., Akgül, G., & Wollmuth, L. P. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00782.2012 · Cited by 45
Lu, C. B., Jefferys, J. G. R., Toescu, E. C., & Vreugdenhil, M. (2010) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2010.11.008 · Cited by 45
Imbrosci, B., & Mittmann, T. (2011) · Neural Plasticity · doi:10.1155/2011/614329 · Cited by 48
Chen, G., Rasch, M. J., Wang, R., & Zhang, X.-H. (2015) · Scientific Reports · doi:10.1038/srep17847 · Cited by 45
Du, Y., & Grace, A. A. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw065 · Cited by 43
Neural plasticity and network remodeling: From concepts to pathology
Cohen, E. J., Quarta, E., Bravi, R., Granato, A., & Minciacchi, D. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2016.12.048 · Cited by 45
Santos‐Silva, T., Fabris, D. D. S., de Oliveira, C. L., Guimarães, F. S., & Gomes, F. V. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad123 · Cited by 45
Holderith, N. B., Németh, B., Papp, O. I., Veres, J. M., Nagy, G. A., & Hájos, N. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.216259 · Cited by 42
Brain oscillations: ideal scenery to understand the neurovascular coupling
Riera, J. J., & Sumiyoshi, A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833b769f · Cited by 43
Space coding by gamma oscillations in the barn owl optic tectum
Sridharan, D., Boahen, K. A., & Knudsen, E. I. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00965.2010 · Cited by 42
Ma, J., & Leung, L.-W. S. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.03.010 · Cited by 42
Kikuchi, M., Yoshimura, Y., Shitamichi, K., Ueno, S., Hirosawa, T., Munesue, T., Ono, Y., Tsubokawa, T., Haruta, Y., Oi, M., et al. (2013) · Scientific Reports · doi:10.1038/srep01139 · Cited by 47
Frankle, W. G., Cho, R. Y., Mason, N. S., Chen, C.-M., Himes, M. L., Walker, C. P. R., Lewis, D. A., Mathis, C. A., & Narendran, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032443 · Cited by 44
Girard, F., Venail, J., Schwaller, B., & Celio, M. R. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.02.018 · Cited by 43
Developmental broadening of inhibitory sensory maps
Quast, K. B., Ung, K., Froudarakis, E., Huang, L., Herman, I., Addison, A. P., Ortiz‐Guzman, J., Cordiner, K., Saggau, P., Tolias, A. S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4467 · Cited by 42
Cardis, R., Cabungcal, J.-H., Dwir, D., Kim, Q., & Steullet, P. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.10.006 · Cited by 45
Hongo, N., Takamura, Y., Nishimaru, H., Matsumoto, J., Kazuyuki, T., Saito, T., Saido, T. C., & Nishijo, H. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00307 · Cited by 42
Koshiyama, D., Miyakoshi, M., Joshi, Y. B., Molina, J. L., Tanaka‐Koshiyama, K., Sprock, J., BRAFF, D. L., Swerdlow, N. R., & Light, G. A. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00806-5 · Cited by 42
Mehak, S. F., Shivakumar, A. B., Kumari, S., Muralidharan, B., & Gangadharan, G. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104628 · Cited by 45
Wang, N., Zhang, G.-F., Liu, X.-Y., Sun, H.-L., Wang, X.-M., Qiu, L.-L., Yang, C., & Yang, J.-J. (2014) · Journal of Molecular Neuroscience · doi:10.1007/s12031-014-0277-8 · Cited by 41
Wood, J., LaPalombara, Z., & Ahmari, S. E. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0023 · Cited by 41
Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications
Lee, J. H., Lee, S., Kim, D., & Lee, K. J. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114399 · Cited by 43
Barth, A. M., Ferando, I., & Módy, I. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00222 · Cited by 43
Phencyclidine Disrupts the Auditory Steady State Response in Rats
Leishman, E., O’Donnell, B. F., Millward, J. B., Vohs, J. L., Rass, O., Krishnan, G. P., Bolbecker, A. R., & Morzorati, S. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134979 · Cited by 41
The Physiology of Homeoprotein Transduction
Nardo, A. A. D., Fuchs, J., Joshi, R. L., Moya, K. L., & Prochiantz, A. (2018) · Physiological Reviews · doi:10.1152/physrev.00018.2017 · Cited by 52
Yoo, Y.-E., Yoo, T., Lee, S., Lee, J., Kim, D., Han, H.-M., Bae, Y.-C., & Kim, E. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00155 · Cited by 41
Panthi, S., & Leitch, B. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104610 · Cited by 41
Γ-Aminobutyric acid in adult brain: an update
Siucińska, E. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112224 · Cited by 43
An Investigation of the Free Energy Principle for Emotion Recognition
Demekas, D., Parr, T., & Friston, K. J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00030 · Cited by 44
De, A., El-Shamayleh, Y., & Horwitz, G. D. (2020) · eLife · doi:10.7554/elife.52658 · Cited by 45
Versace, V., Ortelli, P., Dezi, S., Ferrazzoli, D., Alibardi, A., Bonini, I., Engl, M., Maestri, R., Assogna, M., Ajello, V., et al. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.10.017 · Cited by 42
Takada, N., Pi, H. J., Sousa, V. H., Waters, J., Fishell, G., Kepecs, Á., & Osten, P. (2014) · Nature Communications · doi:10.1038/ncomms6333 · Cited by 43
Mapping the mosaic sequence of primate visual cortical development
Mundiñano, I.-C., Kwan, W. C., & Bourne, J. A. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00132 · Cited by 41
McMeekin, L. J., Lucas, E. K., Meador‐Woodruff, J. H., McCullumsmith, R. E., Hendrickson, R. C., Gamble, K. L., & Cowell, R. M. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv184 · Cited by 42
The GABAergic septohippocampal connection is impaired in a mouse model of tauopathy
Soler, H., Dorca‐Arévalo, J., González, M., Rubio, S. E., Ávila, J., Soriano, E., & Pascual, M. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.09.006 · Cited by 41
Erratic and blood vessel-guided migration of astrocyte progenitors in the cerebral cortex
Tabata, H., Sasaki, M., Agetsuma, M., Sano, H. I., Hirota, Y., Miyajima, M., Hayashi, K., Honda, T., Nishikawa, M., Inaguma, Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34184-x · Cited by 41
Redox and Immune Signaling in Schizophrenia: New Therapeutic Potential
Dwir, D., Khadimallah, I., Xin, L., Rahman, M., Du, F., Öngür, D., & Kim, Q. (2023) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyad012 · Cited by 42
EEG biomarkers of target engagement, therapeutic effect, and disease process
Featherstone, R. E., McMullen, M. F., Ward, K. R., Bang, J., Xiao, J., & Siegel, S. J. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12745 · Cited by 40
Microbial rhodopsins in the spotlight
Bamann, C., Nagel, G., & Bamberg, E. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.07.003 · Cited by 42
Brennaman, L. H., Zhang, X., Guan, H., Triplett, J. W., Brown, A. M., Demyanenko, G. P., Manis, P. B., Landmesser, L. T., & Maness, P. F. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr392 · Cited by 42
Takei, Y., Fujihara, K., Tagawa, M., Hironaga, N., Near, J., Kasagi, M., Takahashi, Y., Motegi, T., Suzuki, Y., Aoyama, Y., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.057 · Cited by 41
Wearne, T. A., Mirzaei, M., Franklin, J. L., Goodchild, A. K., Haynes, P. A., & Cornish, J. L. (2014) · Journal of Proteome Research · doi:10.1021/pr500719f · Cited by 41
Neuroscience‐informed computer‐assisted cognitive training in schizophrenia
Fisher, M., Herman, A. B., Stephens, D. B., & Vinogradov, S. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13042 · Cited by 40
Parvalbumin fast‐spiking interneurons are selectively altered by paediatric traumatic brain injury
Nichols, J., Bjorklund, G. R., Newbern, J. M., & Anderson, T. R. (2018) · The Journal of Physiology · doi:10.1113/jp275393 · Cited by 40
Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., Fujioka, M., Ichikawa, E., Ohta, K., Tani, M., Tsuchiya, M., Kanehara, A., et al. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.08.007 · Cited by 40
Zibman, S., Hertz, E. D., Alyagon, U., Etkin, A., & Zangen, A. (2018) · Brain stimulation · doi:10.1016/j.brs.2018.10.008 · Cited by 42
Sensory coding is impaired in rat absence epilepsy
Studer, F., Laghouati, E., Jarre, G., Olivier David, A., Pouyatos, B., & Depaulis, A. (2018) · The Journal of Physiology · doi:10.1113/jp277297 · Cited by 42
Ćurić, S., Leicht, G., Thiebes, S., Andreou, C., Polomac, N., Eichler, I.-C., Eichler, L., Zöllner, C., Gallinat, J., Steinmann, S., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0328-5 · Cited by 40
The effects of early life stress on impulsivity
Sanchez, E. O., & Bangasser, D. A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104638 · Cited by 46
Nahmani, M., & Turrigiano, G. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4600-13.2014 · Cited by 41
Chen, W., Luo, B., Gao, N., Li, H., Wang, H., Li, L., Cui, W., Zhang, L., Sun, D., Liu, F., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci136956 · Cited by 39
Paolis, M. L. D., Paoletti, I., Zaccone, C., Capone, F., D’Amelio, M., & Krashia, P. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00423-y · Cited by 44
Pafundo, D. E., Miyamae, T., Lewis, D. A., & González‐Burgos, G. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2013.253823 · Cited by 43
Hines, R. M., Hines, D. J., Houston, C. M., Mukherjee, J. T., Haydon, P. G., Tretter, V. E., Smart, T. G., & Moss, S. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308706110 · Cited by 39
Specificity, Versatility, and Continual Development: The Power of Optogenetics for Epilepsy Research
Wick, Z. C., & Krook-Magnuson, E. I. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00151 · Cited by 39
Sleep disruption elevates oxidative stress in parvalbumin-positive cells of the rat cerebral cortex
Harkness, J. H., Bushana, P. N., Todd, R. P., Clegern, W. C., Sorg, B. A., & Wisor, J. P. (2018) · SLEEP · doi:10.1093/sleep/zsy201 · Cited by 39
Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset
Rich, S., Chameh, H. M., Rafiee, M., Ferguson, K., Skinner, F. K., & Valiante, T. A. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00081 · Cited by 42
Anderson, E. M., Engelhardt, A., Demis, S., Porath, E., & Hearing, M. C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01028-z · Cited by 41
Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss
Auerbach, B. D., & Gritton, H. J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.799787 · Cited by 42
Gawande, D. Y., Narasimhan, K. K. S., Shelkar, G. P., Pavuluri, R., Stessman, H. A. F., & Dravid, S. M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.03.020 · Cited by 41
Moyer, C. E., Delevich, K. M., Fish, K. N., Asafu-Adjei, J. K., Sampson, A. R., Dorph‐Petersen, K., Lewis, D. A., & Sweet, R. A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.010 · Cited by 39
Kaalund, S. S., Riise, J., Broberg, B. V., Fabricius, K., Karlsen, A. S., Secher, T., Plath, N., & Pakkenberg, B. (2012) · Journal of Neurochemistry · doi:10.1111/jnc.12061 · Cited by 39
Schizophrenia: The making of a troubled mind
Dobbs, D. E. (2010) · Nature · doi:10.1038/468154a · Cited by 39
Cellot, G., & Cherubini, E. (2014) · Physiological Reports · doi:10.14814/phy2.12077 · Cited by 38
Critical aspects of neurodevelopment
Chakraborty, R., Kumar, M., & Clement, J. P. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107415 · Cited by 41
Xiao, L., Huo, X., Wang, Y., Li, W., Li, M., Wang, C., Wang, F., & Sun, T. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04666-3 · Cited by 39
Neural landscape diffusion resolves conflicts between needs across time
Richman, E. B., Ticea, N., Allen, W. E., Deisseroth, K. A., & Luo, L. (2023) · Nature · doi:10.1038/s41586-023-06715-z · Cited by 41
Self-citationFunctional specialization of hippocampal somatostatin-expressing interneurons
Chamberland, S., Grant, G., Machold, R. P., Nebet, E. R., Tian, G., Stich, J. L., Hanani, M., Kullander, K., & Tsien, R. W. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306382121 · Cited by 42
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