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 1,001–1,013 of 1,013
Optogenetic tools for modulating and probing the epileptic network
Zhao, M., Alleva, R., Ma, H., Daniel, A. G. S., & Schwartz, T. H. (2015) · Epilepsy Research · doi:10.1016/j.eplepsyres.2015.06.010 · Cited by 39
Port, R. G., Gandal, M. J., Roberts, T. P. L., Siegel, S. J., & Carlson, G. C. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00414 · Cited by 41
Frequency of gamma oscillations in humans is modulated by velocity of visual motion
Orekhova, E. V., Butorina, A. V., Sysoeva, O., Prokofyev, A. O., Nikolaeva, A. Y., & Stroganova, T. A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00232.2015 · Cited by 42
Role of CA3 theta-modulated interneurons during the transition to spontaneous seizures
Karunakaran, S., Grasse, D. W., & Moxon, K. A. (2016) · Experimental Neurology · doi:10.1016/j.expneurol.2016.06.027 · Cited by 39
The Cytokine CXCL12 Promotes Basket Interneuron Inhibitory Synapses in the Medial Prefrontal Cortex
Wu, P.-R., Cho, K. K. A., Vogt, D., Sohal, V. S., & Rubenstein, J. L. R. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw230 · Cited by 32
Self-citationElectrophysiological intermediate biomarkers for oxidative stress in schizophrenia
Ballesteros, A., Summerfelt, A., Du, X., Jiang, P., Chiappelli, J., Tagamets, M., O’Donnell, P., Kochunov, P., & Hong, L. E. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.05.021 · Cited by 34
Neural and neuronal discoordination in schizophrenia: from ensembles through networks to symptoms
Krajcovic, B., Fajnerova, I., Horacek, J., Kelemen, E., Kubik, S., Svoboda, J., & Stuchlik, A. (2019) · Acta Physiologica · doi:10.1111/apha.13282 · Cited by 29
Willems, J. G. P., Wadman, W. J., & Cappaert, N. L. M. (2018) · Hippocampus · doi:10.1002/hipo.22830 · Cited by 25
Jones, N. C., Hudson, M., Foreman, J., Rind, G., Hill, R., Manning, E. E., & van den Buuse, M. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13722 · Cited by 20
Vandenberg, A., Piekarski, D. J., Caporale, N., Munoz-Cuevas, F. J., & Wilbrecht, L. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00005 · Cited by 22
Pattern and not magnitude of neural activity determines dendritic spine stability in awake mice.
Wyatt, R. M., Tring, E., & Trachtenberg, J. T. (2012) · Nature Neuroscience · doi:10.1038/nn.3134 · Cited by 22
Anderson, E. M., Loke, S., Wrucke, B., Engelhardt, A., Demis, S., O’Reilly, K., Hess, E., Wickman, K., & Hearing, M. C. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01063-w · Cited by 16
Theriault (n.d.) · doi:10.31234/osf.io/pkzr8 · Cited by 51
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