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Fast-spiking, parvalbumin + GABAergic interneurons: From cellular design to microcircuit function
Abstract
Background: Neuronal networks in the brain include glutamatergic principal neurons and GABAergic interneurons (GABA, γ-aminobutyric acid). The latter may be a minority cell type, but they are vital for normal brain function because they regulate the activity of principal neurons. If interneuron function is impaired, higher brain function can be damaged and seizures may result. The fast-spiking, parvalbumin-positive interneurons (PV + interneurons) are readily characterized and, consequently, have been adopted as a research model for systematic and quantitative investigations. These cells contribute to feedback and feedforward inhibition and are critically involved in the generation of network oscillations. They can convert an excitatory input signal into an inhibitory output signal within a millisecond, but it is unclear how these signaling properties are implemented at the molecular and cellular levels, nor how PV + interneurons shape complex network functions. Advances: Recent work sheds light on the subcellular signaling properties of PV + interneurons. PV + cells show a high degree of polarity. The weakly excitable dendrites allow PV + interneurons to sample activity in the surrounding network, whereas the highly excitable axons enable analog-to-digital conversion and fast propagation of the digital signal to a large number of target cells. Additionally, tight coupling of Ca 2+ channels and release sensors at GABAergic output synapses increases the efficacy and speed of the inhibitory output. Recent results also provide a better understanding of how PV + interneurons operate in neuronal networks. Not only are PV + interneurons involved in basic microcircuit functions, such as feedforward and feedback inhibition or gamma-frequency oscillations, but they also play a role in complex network operations, including expansion of dynamic activity range, pattern separation, modulation of place and grid field shapes, phase precession, and gain modulation of sensory responses. Thus, PV + interneurons are critically involved in advanced computations in microcircuits and neuronal networks. Outlook: Parvalbumin-expressing interneurons may also play a key role in numerous brain diseases. These include epilepsy, but also complex psychiatric diseases such as schizophrenia. Thus, PV + interneurons may become important therapeutic targets in the future. However, much needs to be learned about the basic function of these interneurons before clinical neuroscientists will have a chance to successfully use PV + interneurons for therapeutic purposes.
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“Fast-spiking (FS) CA1 interneurons (classically referred to as “theta cells”53) have been mechanistically linked to the emergence of the LFP theta rhythm and the entrainment of pyramidal neurons in the hippocampus42,54–56.”
From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [55]
In the citing paper
“Fast-spiking interneurons expressing the calcium binding protein parvalbumin (PV+) are the main modulators of critical period plasticity (Figure 4).”
From Developmental timing and critical windows for the treatment of psychiatric disorders (2016) · cites this paper as [38]
In the citing paper
“These cells provide very strong inhibition to pyramidal cells 38 , and so their maturation rapidly restricts the influence of sensory experience in pyramidal cells and leads to the closure of critical period plasticity.”
From Developmental timing and critical windows for the treatment of psychiatric disorders (2016) · cites this paper as [38]
In the citing paper
“Although PNNs are stable structures and known to lock synapses in place upon closure of the developmental window of plasticity17,38,39, several CNS pathologies40, including glioma and epilepsy, present with upregulated ECM and PNN remodeling enzymes including MMPs.”
From Perineuronal nets decrease membrane capacitance of peritumoral fast spiking interneurons in a model of epilepsy (2018) · cites this paper as [38]
In the citing paper
“PV-INs have roles in both feedforward and feedback inhibition, regulation of sensory responses, and in learning and plasticity [66].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [66]
In the citing paper
“For this reason, the characteristic phenotype of PV-INs is fast-spiking action potentials at high energetic costs [66].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [66]
In the citing paper
“They help to create and maintain gamma oscillations, which are high-frequency waves between 20 and 100 Hz [66,75].”
From Parvalbumin interneuron vulnerability and brain disorders (2021) · cites this paper as [66]
In the citing paper
“Certain morphological features might be more tightly linked to connectivity (for example, CHC axon arborizations39), and certain intrinsic and synaptic features might be better linked to I/O properties (for instance, fast-spiking basket cells show fast in–fast out signal dynamics66).”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [66]
In the citing paper
“Instead, different components, such as synaptic inputs and integration, spike initiation and propagation, and synaptic release, are measured separately only in a few abundant and accessible cell populations (for example, parvalbumin-expressing fast-spiking basket cells66).”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [66]
In the citing paper
“The last two decades have strengthened early observations suggesting that the complement of both voltage- and ligand-gated channels expressed on hippocampal inhibitory interneurons differs markedly from those expressed on their glutamatergic principal cell counterparts (502, 641, 770).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“In consideration of these data, Hu et al. (502) reasoned that Kv1 channels may impose a fast coincidence detection mechanism in PV-containing interneurons, allowing fast EPSPs to beat Kv1 activation leading to a rapid action potential initiation with little delay.”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“Kv3 expression is highest in dendrites of cells that typically possess low dendritic Na+ channel densities (502, 504).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“In addition, action potential propagation and transmitter release components cannot support the rapid throughput typically observed in mature cells.”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“Consequently, during the first two to three postnatal weeks of life, action potential duration, propagation time, and duration of the transmitter release period decrease by ~50% as a result of the concurrent functional maturation of cell morphology, voltage-gated Na+ and K+ currents, as well as refinement of the presynaptic release machinery (277, 502).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“At early postnatal stages, action potential firing is slow and unable to sustain periods of high-frequency activity.”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“The molecular identities of Na+ channels in interneurons suggest that at least in PVBCs the vast majority of Na+ channels are formed by Nav1.1 and Nav1.6 subunits with a lesser contribution from Nav1.2, Nav1.4, and Nav1.7 (502, 695, 857, 852).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“The Ca2+ binding properties of syt2 likely serve to minimize the time required between Ca2+ entry and the liberation of neurotransmitter (502).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“As a consequence of these molecular specializations, the small number of Ca2+ channels at each release site coupled to syt2-mediated neurotransmitter release favors fast temporally precise “synchronous” phasic transmitter release, thus making them rapid signaling devices capable of providing precisely timed inhibition onto their postsynaptic cells (64, 502) (FIGURE 13).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
In the citing paper
“This receptor arrangement is critical for circuit recruitment of PV-containing interneurons to enforce temporal control over principal cells for efficient generation of large scale oscillatory activity (for review, see Refs. 67, 502).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [502]
Citations
Cites
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068
Interneurons of the hippocampus
Freund, T. F., & Buzsáki, G. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1996)6:4 · Cited by 3,478
Phase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Parvalbumin neurons and gamma rhythms enhance cortical circuit performance
Sohal, V. S., Zhang, F., Yizhar, O., & Deisseroth, K. (2009) · Nature · doi:10.1038/nature07991 · Cited by 2,606
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K., Tsai, L.-H., & Moore, C. I. (2009) · Nature · doi:10.1038/nature08002 · Cited by 2,603
Dynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350
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
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050
Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
McCormick, D. A., Connors, B. W., Lighthall, J. W., & Prince, D. A. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.4.782 · Cited by 1,935
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- 10.1113/jphysiol.2003.042580 · DOI · Paper page
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GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033
Molecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,531
Hippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889
Development and Functional Diversification of Cortical Interneurons
Lim, L., Mi, D., Llorca, A., & Marín, O. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.009 · Cited by 714
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science · doi:10.1126/science.aad7038 · Cited by 601
Ferguson, B. R., & Gao, W.-J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00037 · Cited by 594
Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity
Paul, A., Crow, M., Raudales, R., He, M., Gillis, J., & Huang, Z. J. (2017) · Cell · doi:10.1016/j.cell.2017.08.032 · Cited by 421
Alterations in Cortical Network Oscillations and Parvalbumin Neurons in Schizophrenia
Gonzalez-Burgos, G., Cho, R. Y., & Lewis, D. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.010 · Cited by 497
Critical period regulation across multiple timescales
Reh, R. K., Dias, B. G., Nelson, C. A., Kaufer, D., Werker, J. F., Kolb, B., Levine, J. D., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820836117 · Cited by 492
Prefrontal Parvalbumin Neurons in Control of Attention
Kim, H., Ährlund‐Richter, S., Wang, X., Deisseroth, K. A., & Carlén, M. (2016) · Cell · doi:10.1016/j.cell.2015.11.038 · Cited by 466
Disinhibition, a Circuit Mechanism for Associative Learning and Memory
Letzkus, J. J., Wolff, S. B. E., & Lüthi, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.024 · Cited by 430
Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex
Hawkins, J., & Ahmad, S. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00023 · Cited by 442
Developmental timing and critical windows for the treatment of psychiatric disorders
Marín, O. (2016) · Nature Medicine · doi:10.1038/nm.4225 · Cited by 374
Favuzzi, E., Marques-Smith, A., Deogracias, R., Winterflood, C. M., Sánchez-Aguilera, A., Mantoan, L., Maeso, P., Fernandes, C., Ewers, H., & Rico, B. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.028 · Cited by 397
Steullet, P., Cabungcal, J.-H., Coyle, J., Didriksen, M., Gill, K., Grace, A. A., Hensch, T. K., LaMantia, A.-S., Lindemann, L., Maynard, T. M., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.47 · Cited by 360
Witter, M. P., Doan, T. P., Jacobsen, B., Nilssen, E. S., & Ohara, S. (2017) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2017.00046 · Cited by 389
Cellular Circuits in the Brain and Their Modulation in Acute and Chronic Pain
Kuner, R., & Kuner, T. (2020) · Physiological Reviews · doi:10.1152/physrev.00040.2019 · Cited by 371
A parvalbumin-positive excitatory visual pathway to trigger fear responses in mice
Shang, C., Liu, Z., Chen, Z., Shi, Y., Wang, Q., Liu, S., Li, D., & Cao, P. (2015) · Science · doi:10.1126/science.aaa8694 · Cited by 349
Selimbeyoglu, 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
Neuromodulatory Influences on Integration and Segregation in the Brain
Shine, J. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.002 · Cited by 328
The GABAA Receptor as a Therapeutic Target for Neurodevelopmental Disorders
Braat, S., & Kooy, R. F. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.042 · Cited by 294
Neuronal activity determines distinct gliotransmitter release from a single astrocyte
Covelo, A., & Araque, A. (2018) · eLife · doi:10.7554/elife.32237 · Cited by 276
A large fraction of neocortical myelin ensheathes axons of local inhibitory neurons
Micheva, K. D., Wolman, D. N., Mensh, B. D., Pax, E., Buchanan, J., Smith, S. J., & Bock, D. D. (2016) · eLife · doi:10.7554/elife.15784 · Cited by 291
Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
Harris, K. D., Hochgerner, H., Skene, N. G., Magno, L., Katona, L., Bengtsson Gonzales, C., Somogyi, P., Kessaris, N., Linnarsson, S., & Hjerling-Leffler, J. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2006387 · Cited by 276
Functional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239
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
Early emergence of cortical interneuron diversity in the mouse embryo
Mi, D., Li, Z., Lim, L., Li, M., Moissidis, M., Yang, Y., Gao, T., Hu, T. X., Pratt, T., Price, D. J., et al. (2018) · Science · doi:10.1126/science.aar6821 · Cited by 259
Inoue, M., Takeuchi, A., Manita, S., Horigane, S., Sakamoto, M., Kawakami, R., Yamaguchi, K., Otomo, K., Yokoyama, H., Kim, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.04.007 · Cited by 245
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
The diversity of GABAergic neurons and neural communication elements
Huang, Z. J., & Paul, A. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0195-4 · Cited by 201
Ognjanovski, N., Schaeffer, S. M., Wu, J., Mofakham, S., Maruyama, D., Żochowski, M., & Aton, S. J. (2017) · Nature Communications · doi:10.1038/ncomms15039 · Cited by 242
Pfisterer, U., Petukhov, V., Demharter, S., Meichsner, J., Thompson, J. J., Batiuk, M. Y., Asenjo-Martínez, A., Vasistha, N. A., Thakur, A., Mikkelsen, J. D., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18752-7 · Cited by 238
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
Distinct Roles of Parvalbumin- and Somatostatin-Expressing Interneurons in Working Memory
Kim, D., Jeong, H., Lee, J., Ghim, J.-W., Her, E. S., Lee, S.-H., & Jung, M. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.023 · Cited by 201
Re-evaluating Circuit Mechanisms Underlying Pattern Separation
Cayco-Gajic, N. A., & Silver, R. A. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.044 · Cited by 234
Inhibitory control of the excitatory/inhibitory balance in psychiatric disorders
Selten, M. M., van Bokhoven, H., & Kasri, N. N. (2018) · F1000Research · doi:10.12688/f1000research.12155.1 · Cited by 221
Early neuronal accumulation of DNA double strand breaks in Alzheimer’s disease
Shanbhag, N. M., Evans, M. D., Mao, W., Nana, A. L., Seeley, W. W., Adame, A., Rissman, R. A., Masliah, E., & Mucke, L. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0723-5 · Cited by 214
Richetin, K., Steullet, P., Pachoud, M., Perbet, R., Parietti, E., Maheswaran, M., Eddarkaoui, S., Bégard, S., Pythoud, C., Rey, M. J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00728-x · Cited by 214
Hijazi, S., Heistek, T. S., Scheltens, P., Neumann, U., Shimshek, D. R., Mansvelder, H. D., Smit, A. B., & van Kesteren, R. E. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0483-4 · Cited by 216
Operation and plasticity of hippocampal CA3 circuits: implications for memory encoding
Rebola, N., Carta, M., & Mulle, C. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.10 · Cited by 221
Khan, A. G., Poort, J., Chadwick, A., Blot, A., Sahani, M., Mrsic‐Flogel, T. D., & Hofer, S. B. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0143-z · Cited by 220
Tewari, B. P., Chaunsali, L., Campbell, S. L., Patel, D. C., Goode, A. E., & Sontheimer, H. (2018) · Nature Communications · doi:10.1038/s41467-018-07113-0 · Cited by 208
Bezaire, M. J., Raikov, I., Burk, K., Vyas, D., & Soltesz, I. (2016) · eLife · doi:10.7554/elife.18566 · Cited by 198
Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons
Földy, C., Darmanis, S., Aoto, J., Malenka, R. C., Quake, S. R., & Südhof, T. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610155113 · Cited by 179
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
A cortical disinhibitory circuit for enhancing adult plasticity
Fu, Y., Kaneko, M., Tang, Y., Álvarez-Buylla, A., & Stryker, M. P. (2015) · eLife · doi:10.7554/elife.05558 · Cited by 204
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
Neurovascular Dysfunction in Vascular Dementia, Alzheimer's and Atherosclerosis
Shabir, O., Berwick, J., & Francis, S. E. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0465-5 · Cited by 191
High frequency neural spiking and auditory signaling by ultrafast red-shifted optogenetics
Mager, T., de la Morena, D. L., Senn, V., Paladini, J., D’Errico, A., Feldbauer, K., Wrobel, C., Jung, S., Bodensiek, K., Rankovic, V., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04146-3 · Cited by 188
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
Midbrain dopamine neurons bidirectionally regulate CA3-CA1 synaptic drive
Rosen, Z. B., Cheung, S., & Siegelbaum, S. A. (2015) · Nature Neuroscience · doi:10.1038/nn.4152 · Cited by 183
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
Does puberty mark a transition in sensitive periods for plasticity in the associative neocortex?
Piekarski, D. J., Johnson, C. M., Boivin, J. R., Thomas, A. W., Lin, W. C., Delevich, K., M. Galarce, E., & Wilbrecht, L. (2017) · Brain Research · doi:10.1016/j.brainres.2016.08.042 · Cited by 175
Espinoza, C., Guzman, S. J., Zhang, X., & Jónás, P. (2018) · Nature Communications · doi:10.1038/s41467-018-06899-3 · Cited by 179
Klune, C. B., Jin, B., & DeNardo, L. A. (2021) · eLife · doi:10.7554/elife.64567 · Cited by 178
Neurogliaform cells in cortical circuits
Overstreet-Wadiche, L., & McBain, C. J. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3969 · Cited by 152
Sessolo, M., Marcon, I., Bovetti, S., Losi, G., Cammarota, M., Ratto, G. M., Fellin, T., & Carmignoto, G. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5117-14.2015 · Cited by 178
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
Long-Lasting Rescue of Network and Cognitive Dysfunction in a Genetic Schizophrenia Model
Mukherjee, A., Carvalho, F., Eliez, S., & Caroni, P. (2019) · Cell · doi:10.1016/j.cell.2019.07.023 · Cited by 169
Mechanisms of ketamine and its metabolites as antidepressants
Hess, E. M., Riggs, L. M., Michaelides, M., & Gould, T. D. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2021.114892 · Cited by 175
Stedehouder, J., Couey, J. J., Brizee, D., Hosseini, B., Slotman, J. A., Dirven, C. M. F., Shpak, G., Houtsmuller, A. B., & Kushner, S. A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx203 · Cited by 166
Energy Metabolism Decline in the Aging Brain—Pathogenesis of Neurodegenerative Disorders
Błaszczyk, J. W. (2020) · Metabolites · doi:10.3390/metabo10110450 · Cited by 166
An update for epilepsy research and antiepileptic drug development: Toward precise circuit therapy
Wang, Y., & Chen, Z. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.05.010 · Cited by 157
Antonoudiou, 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
Krishnan, K., Wang, B.-S., Lu, J., Wang, L., Maffei, A., Cang, J., & Huang, Z. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506499112 · Cited by 146
Donato, F., Chowdhury, A., Lahr, M., & Caroni, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.011 · Cited by 159
Geiller, T., Vancura, B., Terada, S., Troullinou, E., Chavlis, S., Tsagkatakis, G., Tsakalides, P., Ócsai, K., Poirazi, P., Rózsa, B. J., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.013 · Cited by 158
Alternating sources of perisomatic inhibition during behavior
Dudok, B., Klein, P., Hwaun, E., Lee, B. R., Yao, Z., Fong, O., Bowler, J. C., Terada, S., Sparks, F. T., Szabo, G. G., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.003 · Cited by 170
Pre-frontal parvalbumin interneurons in schizophrenia: a meta-analysis of post-mortem studies
Kaar, S. J., Angelescu, I., Marques, T. R., & Howes, O. D. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02080-2 · Cited by 159
Molecular and Cellular Mechanisms of Rapid-Acting Antidepressants Ketamine and Scopolamine
Wohleb, E. S., Gerhard, D. M., Thomas, A., & Duman, R. S. (2016) · Current Neuropharmacology · doi:10.2174/1570159x14666160309114549 · Cited by 151
Perineuronal nets in brain physiology and disease
Testa, D., Prochiantz, A., & Nardo, A. A. D. (2018) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2018.09.011 · Cited by 153
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 157
Mancarci, B. O., Toker, L., Tripathy, S. J., Li, B., Rocco, B. R., Sibille, E. L., & Pavlidis, P. (2017) · eNeuro · doi:10.1523/eneuro.0212-17.2017 · Cited by 148
Hippocampal GABAergic interneurons and memory
Tzilivaki, A., Tukker, J. J., Maier, N., Poirazi, P., Sammons, R. P., & Schmitz, D. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.016 · Cited by 154
Mariotti, L., Losi, G., Lia, A., Melone, M., Chiavegato, A., Gómez-Gonzalo, M., Sessolo, M., Bovetti, S., Forli, A., Zonta, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02642-6 · Cited by 131
Weeding out bad waves: towards selective cannabinoid circuit control in epilepsy
Soltész, I., Alger, B. E., Kano, M., Lee, S.-H., Lovinger, D. M., Ohno‐Shosaku, T., & Watanabe, M. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3937 · Cited by 142
Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129
Inhibitory Interneurons and their Circuit Motifs in the Many Layers of the Barrel Cortex
Feldmeyer, D., Qi, G., Emmenegger, V., & Staiger, J. F. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.027 · Cited by 140
Dwir, D., Giangreco, B., Xin, L., Tenenbaum, L., Cabungcal, J.-H., Steullet, P., Goupil, A., Cleusix, M., Jenni, R., Chtarto, A., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0393-5 · Cited by 140
SNAREopathies: Diversity in Mechanisms and Symptoms
Verhage, M., & Sørensen, J. B. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.036 · Cited by 121
A Laminar Organization for Selective Cortico-Cortical Communication
D’Souza, R. D., & Burkhalter, A. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00071 · Cited by 138
Gan, J., Weng, S.-M., Pernía‐Andrade, A. J., Csicsvari, J., & Jónás, P. (2016) · Neuron · doi:10.1016/j.neuron.2016.12.018 · Cited by 131
Self-citationSynaptic Organization of the Neuronal Circuits of the Claustrum
Kim, J., Matney, C. J., Roth, R. H., & Brown, S. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3643-15.2016 · Cited by 144
A novel somatosensory spatial navigation system outside the hippocampal formation
Long, X., & Zhang, S. (2021) · Cell Research · doi:10.1038/s41422-020-00448-8 · Cited by 136
Lee, K., Holley, S. M., Shobe, J. L., Chong, N. C., Cepeda, C., Levine, M. S., & Masmanidis, S. C. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.033 · Cited by 141
Cuénod, M., Steullet, P., Cabungcal, J.-H., Dwir, D., Khadimallah, I., Klauser, P., Conus, P., & Kim, Q. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01374-w · Cited by 134
Inhibitory Circuits in Cortical Layer 5
Naka, A., & Adesnik, H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00035 · Cited by 143
Distinct Physiological Maturation of Parvalbumin-Positive Neuron Subtypes in Mouse Prefrontal Cortex
Miyamae, T., Chen, K., Lewis, D. A., & González‐Burgos, G. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3325-16.2017 · Cited by 133
GABAergic Interneurons in Seizures: Investigating Causality With Optogenetics
Magloire, V., Mercier, M. S., Kullmann, D. M., & Pavlov, I. (2018) · The Neuroscientist · doi:10.1177/1073858418805002 · Cited by 140
Vezoli, J., Magrou, L., Goebel, R., Wang, X., Knoblauch, K., Vinck, M. A., & Kennedy, H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117479 · Cited by 132
Thalamic circuits for independent control of prefrontal signal and noise
Mukherjee, A., Lam, N. H., Wimmer, R. D., & Halassa, M. M. (2021) · Nature · doi:10.1038/s41586-021-04056-3 · Cited by 128
The proteomic landscape of synaptic diversity across brain regions and cell types
van Oostrum, M., Blok, T. M., Giandomenico, S. L., tom Dieck, S., Tushev, G., Fürst, N., Langer, J. D., & Schuman, E. M. (2023) · Cell · doi:10.1016/j.cell.2023.09.028 · Cited by 135
Inhibitory circuits of the mammalian main olfactory bulb
Burton, S. D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00109.2017 · Cited by 129
Parvalbumin interneuron in the ventral hippocampus functions as a discriminator in social memory
Deng, X., Gu, L., Sui, N., Guo, J., & Liang, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1819133116 · Cited by 129
Pathway-, layer- and cell-type-specific thalamic input to mouse barrel cortex
Sermet, B. S., Truschow, P., Feyerabend, M., Mayrhofer, J. M., Oram, T. B., Yizhar, O., Staiger, J. F., & Petersen, C. C. H. (2019) · eLife · doi:10.7554/elife.52665 · Cited by 132
Jia, X., Siegle, J. H., Bennett, C., Gale, S. D., Denman, D. J., Koch, C., & Olsen, S. R. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00680.2018 · Cited by 130
Myelination of parvalbumin interneurons shapes the function of cortical sensory inhibitory circuits
Benamer, N., Vidal, M., Balia, M., & Angulo, M. C. (2020) · Nature Communications · doi:10.1038/s41467-020-18984-7 · Cited by 122
Cortical and Striatal Circuits in Huntington’s Disease
Blumenstock, S., & Dudanova, I. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00082 · Cited by 128
PV plasticity sustained through D1/5 dopamine signaling required for long-term memory consolidation
Karunakaran, S., Chowdhury, A., Donato, F., Quairiaux, C., Michel, C. M., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4231 · Cited by 129
Dynamics of a disinhibitory prefrontal microcircuit in controlling social competition
Zhang, C., Zhu, H. L., Ni, Z., Xin, Q., Zhou, T., Wu, R., Gao, G., Gao, Z., Ma, H., Li, H., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.10.034 · Cited by 127
Self-citation
Metadata
- Authors
- Hu, H., Gan, J., & Jonas, P.
- Affiliations
- Institute of Science and Technology Austria (AT)
- IST Austria (Institute of Science and Technology Austria), Am Campus 1, A-3400 Klosterneuburg, Austria.
- Venue
- Science
- Published
- 2014-08
- Volume
- 345
- Issue
- 6196
- Pages
- 1255263-1255263
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2084072056
- Cited by
- 1,197
- References
- 135
- Citations by year
- 2026: 95 · 2025: 129 · 2024: 115 · 2023: 94 · 2022: 103 · 2021: 143 · 2020: 141 · 2019: 102 · 2018: 92 · 2017: 59 · 2016: 66 · 2015: 52 · 2014: 5
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- parvalbumin interneurons, fast-spiking neurons, GABAergic interneurons, neuronal polarity, dendritic excitability, calcium channels, synaptic inhibition, feedforward inhibition, product inhibition, gamma oscillations, pattern separation, phase precession, grid cells, place cells, gain modulation, epilepsy, schizophrenia, therapeutic target
- MeSH terms
- Action Potentials, Animals, Mental Disorders, Brain Diseases, Interneurons, Nerve Net, Synaptic Transmission, Parvalbumins, Mice, Synaptic Potentials, GABAergic Neurons
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