The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Complementary Roles of Cholecystokinin- and Parvalbumin-Expressing GABAergic Neurons in Hippocampal Network Oscillations
Open accessAbstract
In the hippocampal CA1 area, a relatively homogenous population of pyramidal cells is accompanied by a diversity of GABAergic interneurons. Previously, we found that parvalbumin-expressing basket, axo-axonic, bistratified, and oriens-lacunosum moleculare cells, innervating different domains of pyramidal cells, have distinct firing patterns during network oscillations in vivo. A second family of interneurons, expressing cholecystokinin but not parvalbumin, is known to target the same domains of pyramidal cells as do the parvalbumin cells. To test the temporal activity of these independent and parallel GABAergic inputs, we recorded the precise spike timing of identified cholecystokinin interneurons during hippocampal network oscillations in anesthetized rats and determined their molecular expression profiles and synaptic targets. The cells were cannabinoid receptor type 1 immunopositive. Contrary to the stereotyped firing of parvalbumin interneurons, cholecystokinin-expressing basket and dendrite-innervating cells discharge, on average, with 1.7 +/- 2.0 Hz during high-frequency ripple oscillations in an episode-dependent manner. During theta oscillations, cholecystokinin-expressing interneurons fire with 8.8 +/- 3.3 Hz at a characteristic time on the ascending phase of theta waves (155 +/- 81 degrees), when place cells start firing in freely moving animals. The firing patterns of some interneurons recorded in drug-free behaving rats were similar to cholecystokinin cells in anesthetized animals. Our results demonstrate that cholecystokinin- and parvalbumin-expressing interneurons make different contributions to network oscillations and play distinct roles in different brain states. We suggest that the specific spike timing of cholecystokinin interneurons and their sensitivity to endocannabinoids might contribute to differentiate subgroups of pyramidal cells forming neuronal assemblies, whereas parvalbumin interneurons contribute to synchronizing the entire network.
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?
In the citing paper
“Like PVBCs, the defining anatomical feature of CCKBCs is preferential perisomatic axonal targeting within s.p. to surround the soma and proximal dendrites of pyramidal cells (FIGURE 2E) (224, 352, 584, 1036, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“Apical dendrite targeting interneurons (ADIs) are similar to SCAs but preferentially innervate the main apical shaft of pyramidal cells avoiding oblique and basal dendrites (584).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“All CCK-expressing dendrite targeting cells dominantly target principal cell postsynaptic targets with ~6 synapses per connection; however, a minority of terminals (~8%) innervate other interneurons (102, 224, 584, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“The axons of perforant path-associated cells (PPAs) concentrate within s.l.m. overlapping with excitatory inputs from the entorhinal cortex and nucleus reuniens targeting the distal apical tufts of CA1 pyramidal cells (584, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“However, PPAs also extend axon collaterals across the hippocampal fissure to target the dendrites of granule cells further aligning their output with excitatory entorhinal input to the hippocampus (452, 584, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“Additional molecular markers commonly associated with hippocampal and neocortical CCK-expressing dendrite targeting interneurons are calbindin (CB) (hippocampus and neocortex), calretinin (CR) (neocortex), and VIP (neocortex), though none of these markers is specific for or ubiquitously expressed by CCK-expressing dendrite targeting interneurons (224, 556, 569, 584, 611, 612).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“They generally extend multipolar dendrites spanning all layers, though horizontally oriented dendritic arbors mostly confined to s.r. have also been observed (181, 224, 452, 584, 654, 885, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“All CCK-expressing dendrite targeting cells dominantly target principal cell postsynaptic targets with ~6 synapses per connection; however, a minority of terminals (~8%) innervate other interneurons (102, 224, 584, 1172).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“Like CCKBCs, dendrite targeting CCK interneuron subtypes typically express CB1Rs (FIGURE 3B) (108, 289, 584, 594, 665, 1194).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“While VGluT3 expression was originally described as being limited to CCKBCs (1031), it has also been detected in ADIs (584).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“Finally, cells in cluster 6 had the highest incidence of CCK expression (typically in combination with VGluT3 and VIP) and anatomies indicative of CCKBCs (1031, 584) and mossy fiber associated cells (1138) with intrinsic features that were often intermediate to cells in all other clusters (TABLE 1).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [584]
In the citing paper
“As mentioned above, distinct interneuronal types, defined based on their selective axonal innervation patterns of the postsynaptic domains of pyramidal cells, exhibit characteristic, cell-type-specific preferred phases of firing during theta oscillations in vivo (Klausberger et al., 2003; 2004, 2005; Ferraguti et al., 2005; Jinno et al., 2007; Fuentealba et al., 2008; Varga et al., 2012; Lapray et”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Klausberger et al., 2005
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
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
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
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
Hippocampal electrical activity and voluntary movement in the rat
Vanderwolf, C. H. (1969) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(69)90092-3 · Cited by 1,928
Place units in the hippocampus of the freely moving rat
O'Keefe, J. (1976) · Experimental Neurology · doi:10.1016/0014-4886(76)90055-8 · Cited by 1,836
Role of Endogenous Cannabinoids in Synaptic Signaling
Freund, T. F., Katona, I., & Piomelli, D. (2003) · Physiological Reviews · doi:10.1152/physrev.00004.2003 · Cited by 1,616
Endogenous cannabinoids mediate retrograde signalling at hippocampal synapses
Wilson, R. I., & Nicoll, R. A. (2001) · Nature · doi:10.1038/35069076 · Cited by 1,607
Cellular bases of hippocampal EEG in the behaving rat
Buzsáki, G., Leung Lai-Wo, S., & Vanderwolf, C. H. (1983) · Brain Research Reviews · doi:10.1016/0165-0173(83)90037-1 · Cited by 1,397
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345
Self-citationKatona, I., Sperlágh, B., Sı́k, A., Käfalvi, A., Vizi, E. S., Mackie, K., & Freund, T. F. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-11-04544.1999 · Cited by 1,218
Research works printed but not linked: 1
- 1893, Anal Soc Espan Historia Natural, 22, 53
Cited by
Sorted by citations
Items 201–300 of 468
Nieto-Gonzalez, J. L., & Jensen, K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067318 · Cited by 35
Corvino, V., di Maria, V., Marchese, E., Lattanzi, W., Biamonte, F., Michetti, F., & Geloso, M. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00433 · Cited by 31
Differential excitatory control of 2 parallel basket cell networks in amygdala microcircuits
Andrási, T., Veres, J. M., Rovira-Esteban, L., Kozma, R., Vikór, A., Gregori, E., & Hájos, N. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001421 · Cited by 34
An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo
Sánchez-Aguilera, A., Wheeler, D. W., Jurado-Parras, T., Valero, M., Nokia, M. S., Cid, E., Fernández‐Lamo, I., Sutton, N. M., García-Rincón, D., de la Prida, L. M., et al. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001213 · Cited by 34
Long-Range GABAergic Projections of Cortical Origin in Brain Function
Urrutia-Piñones, J., Morales-Moraga, C., Sanguinetti, N. K., Escobar, A. P., & Chiu, C. Q. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.841869 · Cited by 36
Targeting parvalbumin promotes M2 macrophage polarization and energy expenditure in mice
Lin, S., Zhang, A., Yuan, L., Wang, Y., Zhang, C., Jiang, J., Xu, H., Yuan, H., Yao, H., Zhang, Q., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30757-y · Cited by 35
Neurogliaform cells dynamically decouple neuronal synchrony between brain areas
Sakalar, E., Klausberger, T., & Lasztóczi, B. (2022) · Science · doi:10.1126/science.abo3355 · Cited by 34
Self-citationQuarta, E., Bravi, R., Scambi, I., Mariotti, R., & Minciacchi, D. (2015) · The Journal of Comparative Neurology · doi:10.1002/cne.23759 · Cited by 43
On the photovoltaic effect in local field potential recordings
Mikulovic, S., Pupe, S., Peixoto, H. M., Nascimento, G., Kullander, K., Tort, A. B. L., & Leão, R. N. (2016) · Neurophotonics · doi:10.1117/1.nph.3.1.015002 · Cited by 34
Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties
Hamilton, D. J., Wheeler, D. W., White, C. M., Rees, C. L., Komendantov, A. O., Bergamino, M., & Ascoli, G. A. (2016) · Brain Informatics · doi:10.1007/s40708-016-0053-3 · Cited by 34
Morphological and physiological properties of CCK/CB1R-expressing interneurons in the basal amygdala
Rovira-Esteban, L., Péterfi, Z., Vikór, A., Máté, Z., Szabó, G., & Hájos, N. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1417-z · Cited by 34
NECAB1 and NECAB2 are Prevalent Calcium-Binding Proteins of CB1/CCK-Positive GABAergic Interneurons
Miczán, V., Kelemen, K., Glavinics, J. R., László, Z. I., Barti, B., Kenesei, K., Kisfali, M., & Katona, I. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa326 · Cited by 30
Peixoto, H. M., Cruz, R. M. S., Moulin, T. C., & Leão, R. N. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00005 · Cited by 35
Cyclophilin D is expressed predominantly in mitochondria of γ‐aminobutyric acidergic interneurons
Hazelton, J. L., Petrasheuskaya, M., Fiskum, G. M., & Kristián, T. (2008) · Journal of Neuroscience Research · doi:10.1002/jnr.21921 · Cited by 34
Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning
Guerrero, D. K. R., Balueva, K., Barayeu, U., Baracskay, P., Gridchyn, I., Nardin, M., Roth, C. N., Wulff, P., & Csicsvari, J. (2024) · Neuron · doi:10.1016/j.neuron.2024.03.019 · Cited by 35
Self-citationGABA Deficits Enhance the Psychotomimetic Effects of Δ9-THC
Radhakrishnan, R., Skosnik, P. D., Cortes-Briones, J., Sewell, R. A., Carbuto, M., Martin, A. M. S., Cahill, J. D., Bois, F., Gunduz‐Bruce, H., Pittman, B. P., et al. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.58 · Cited by 33
Morphological identification of neuron types in the rat hippocampus.
Szilágyi, T., Orbán-Kis, K., Horváth, E., Metz, J., Pap, Z., & Pávai, Z. (2011) · PubMed · Cited by 33
Midline thalamic neurons are differentially engaged during hippocampus network oscillations
Lara-Vásquez, A., Espinosa, N., Durán, E., Stockle, M., & Fuentealba, P. (2016) · Scientific Reports · doi:10.1038/srep29807 · Cited by 37
Self-citationInhibitory conductance controls place field dynamics in the hippocampus
Valero, M., Navas-Olivé, A., de la Prida, L. M., & Buzsáki, G. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111232 · Cited by 39
Pietersen, A. N. J., Ward, P., Hagger‐Vaughan, N., Wiggins, J., Jefferys, J. G. R., & Vreugdenhil, M. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2013.263889 · Cited by 32
Cutsuridis, V., & Poirazi, P. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.02.002 · Cited by 30
Nagy, G. A., Botond, G., Borhegyi, Z., Plummer, N. W., Freund, T. F., & Hájos, N. (2012) · Hippocampus · doi:10.1002/hipo.22081 · Cited by 31
Pennucci, R., Talpo, F., Astro, V., Montinaro, V., Morè, L., Cursi, M., Castoldi, V., Chiaretti, S., Bianchi, V., Marenna, S., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv274 · Cited by 32
Szabo, G. G., Papp, O. I., Máté, Z., Szabó, G., & Hájos, N. (2014) · Hippocampus · doi:10.1002/hipo.22330 · Cited by 31
Kang, Y., Clement, E. M., Park, I., Greenfield, L. J., Smith, B. N., & Lee, S.-H. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113724 · Cited by 31
Aberrant hippocampal mossy fibers in temporal lobe epilepsy target excitatory and inhibitory neurons
Puhahn‐Schmeiser, B., Leicht, K., Gessler, F. A., & Freiman, T. M. (2021) · Epilepsia · doi:10.1111/epi.17035 · Cited by 31
Hernández‐Frausto, M., Bilash, O. M., Masurkar, A. V., & Basu, J. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1223891 · Cited by 35
Evstratova, A., Chamberland, S., & Topolnik, L. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.204255 · Cited by 31
Prokic, E. J., Weston, C. A., Yamawaki, N., Hall, S. D., Jones, R. S. G., Stanford, I. M., Ladds, G., & Woodhall, G. L. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.03.006 · Cited by 31
Different effects of zolpidem and diazepam on hippocampal sharp wave—ripple activity in vitro
Koniaris, E., Drimala, P., Sotiriou, E., & Papatheodoropoulos, C. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2010.11.027 · Cited by 31
Tukker, J. J., Beed, P. S., Schmitz, D., Larkum, M. E., & Sachdev, R. N. S. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00022 · Cited by 32
Ferrante, M., Tahvildari, B., Duque, A., Hadzipasic, M., Salkoff, D. B., Zagha, E., Hasselmo, M. E., & McCormick, D. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw143 · Cited by 30
Petrides, T., Georgopoulos, P., Kostopoulos, G., & Papatheodoropoulos, C. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0681-6 · Cited by 29
Phillips, K. G., & Uhlhaas, P. J. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114562093 · Cited by 30
Kerti‐Szigeti, K., & Nusser, Z. (2016) · eLife · doi:10.7554/elife.18426 · Cited by 31
The many tunes of perisomatic targeting interneurons in the hippocampal network
Ellender, T. J. (2010) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2010.00026 · Cited by 29
Hattiangady, B., Kuruba, R., Shuai, B., Grier, R., & Shetty, A. K. (2020) · Aging and Disease · doi:10.14336/ad.2020.1020 · Cited by 29
Tongo, C. D., Carretta, D., Fulgenzi, G., Catini, C., & Minciacchi, D. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0567-3 · Cited by 28
Huang, Y., Yoon, K., Ko, H., Jiao, S., Ito, W., Wu, J.-Y., Yung, W.-H., Lu, B., & Morozov, A. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu209 · Cited by 27
Morgan, N. H., Stanford, I. M., & Woodhall, G. L. (2008) · Neural Plasticity · doi:10.1155/2008/808564 · Cited by 27
Heyden, A., Ionescu, M.-C. S., Romorini, S., Kracht, B., Ghiglieri, V., Calabresi, P., Seidenbecher, C. I., Angenstein, F., & Gundelfinger, E. D. (2011) · Cell and Tissue Research · doi:10.1007/s00441-011-1233-3 · Cited by 27
Morphology of Hippocampal Neurons
Vida, I. (2010) · Springer eBooks · doi:10.1007/978-1-4419-0996-1_2 · Cited by 30
Eyre, M. D., Freund, T. F., & Gulyás, A. I. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.08.006 · Cited by 32
Jappy, D., Valiullina, F., Draguhn, A., & Rozov, A. V. (2016) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2016.00004 · Cited by 25
Booker, S. A., Althof, D., Gross, A., Loreth, D., Müller, J., Unger, A., Fakler, B., Varro, A., Watanabe, M., Gassmann, M., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw090 · Cited by 25
Self-citationEncoding of Spatio-Temporal Input Characteristics by a CA1 Pyramidal Neuron Model
Pissadaki, E. K., Sidiropoulou, K., Reczko, M., & Poirazi, P. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001038 · Cited by 25
Wyeth, M. S., Zhang, N., & Houser, C. R. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.11.056 · Cited by 25
Scalmani, P., Paterra, R., Mantegazza, M., Avoli, M., & de Curtis, M. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1190-22.2023 · Cited by 25
Lovell, P. V., & Mello, C. V. (2010) · The Journal of Comparative Neurology · doi:10.1002/cne.22513 · Cited by 25
Following the genes: a framework for animal modeling of psychiatric disorders
Mitchell, K. J., Huang, Z. J., Moghaddam, B., & Sawa, A. (2011) · BMC Biology · doi:10.1186/1741-7007-9-76 · Cited by 27
Long-term plasticity in identified hippocampal GABAergic interneurons in the CA1 area in vivo
Lau, P., Katona, L., Sághy, P., Newton, K., Somogyi, P., & Lamsa, K. P. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1309-7 · Cited by 26
Self-citationPapp, P., Kovács, Z., Szocsics, P., Juhász, G. D., & Maglóczky, Z. (2018) · Epilepsy Research · doi:10.1016/j.eplepsyres.2018.05.013 · Cited by 25
Pathological substrate of memory impairment in multiple system atrophy
Miki, Y., Tanji, K., Shinnai, K., Tanaka, M. T., Altay, M. F., Foti, S. C., Strand, C., Sasaki, T., Kon, T., Shimoyama, S., et al. (2022) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12844 · Cited by 24
Lasztóczi, B., & Klausberger, T. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1421-3 · Cited by 25
Self-citationRegion-specific involvement of interneuron subpopulations in trauma-related pathology and resilience
Regev-Tsur, S., Demiray, Y. E., Tripathi, K. K., Stork, O., Richter‐Levin, G., & Albrecht, A. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104974 · Cited by 24
Quarta, E., Fulgenzi, G., Bravi, R., Cohen, E. J., Yanpallewar, S. U., Tessarollo, L., & Minciacchi, D. (2018) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.03.010 · Cited by 23
Pirbhoy, P. S., Jonak, C. R., Syed, R., Argueta, D. A., Perez, P. A., Wiley, M. B., Hessamian, K., Lovelace, J. W., Razak, K. A., DiPatrizio, N. V., et al. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09394-x · Cited by 24
Hippocampal neuronal responses during signaled licking of gustatory stimuli in different contexts
Ho, A. S., Hori, E., Nguyen, P. H., Urakawa, S., Kondoh, T., Torii, K., Ono, T., & Nishijo, H. (2010) · Hippocampus · doi:10.1002/hipo.20766 · Cited by 23
Johnson, B. N., Palmer, C. P., Bourgeois, E. B., Elkind, J. A., Putnam, B. J., & Cohen, A. S. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00435 · Cited by 24
Wu, M., Chen, C., Lin, C., Tzeng, C.-S., & Chang, C. (2012) · Journal of Fish Diseases · doi:10.1111/j.1365-2761.2012.01341.x · Cited by 23
Transgenic Mouse Models Enabling Photolabeling of Individual Neurons In Vivo
Peter, M., Bathellier, B., Fontinha, B. M., Pliota, P., Haubensak, W. E., & Rumpel, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062132 · Cited by 22
Brain state-dependent neuronal computation
Quilichini, P., & Bernard, C. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00077 · Cited by 23
Kim, E.-G., Chang, W., Shin, S., Adhikari, A. S., Seol, G. H., Song, D., & Min, S. S. (2022) · Korean Journal of Physiology and Pharmacology · doi:10.4196/kjpp.2023.27.1.113 · Cited by 23
Shedding light on cholecystokinin’s role in hippocampal neuroplasticity and memory formation
Asim, M., Wang, H., & Chen, X. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105615 · Cited by 23
C-type natriuretic peptide decreases hippocampal network oscillations in adult rats in vitro
Decker, J. M., Wójtowicz, A. M., Haq, R. U., Braunewell, K. H., Heinemann, U., & Behrens, C. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.09.036 · Cited by 22
Calcium extrusion mechanisms in dendrites of mouse hippocampal CA1 inhibitory interneurons
Chamberland, S., Zamora‐Moratalla, A., & Topolnik, L. (2018) · Cell Calcium · doi:10.1016/j.ceca.2018.12.002 · Cited by 21
Singh, R. P., Kulikowicz, E., Santos, P. T., Koehler, R. C., Martin, L. J., & Lee, J. K. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.111921 · Cited by 21
Schizophrenia: from neurophysiological abnormalities to clinical symptoms
Castelnovo, A., Ferrarelli, F., & D’Agostino, A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00478 · Cited by 21
Late-Onset Epileptogenesis and Seizure Genesis: Lessons From Models of Cerebral Ischemia
Epsztein, J., Ben‐Ari, Y., Represa, A., & Crépel, V. (2007) · The Neuroscientist · doi:10.1177/1073858407301681 · Cited by 21
Cannabinoid disruption of learning mechanisms involved in reward processingPreprint
Lupica, C. R., & Hoffman, A. F. (2018) · Learning & Memory · doi:10.1101/lm.046748.117 · Cited by 23
Hughes, H., Brady, L. J., & Schoonover, K. E. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1440834 · Cited by 20
Distal tuft dendrites predict properties of new hippocampal place fields
O’Hare, J. K., Wang, J., Shala, M. D., Polleux, F., & Losonczy, A. (2024) · Neuron · doi:10.1016/j.neuron.2025.03.029 · Cited by 28
Valenti, O., Mikuš, N., & Klausberger, T. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1681-6 · Cited by 18
Self-citationBenarroch, E. E. (2013) · Neurology · doi:10.1212/wnl.0b013e31829c002f · Cited by 19
Viereckel, T., Kostic, M., Bähner, F., Draguhn, A., & Both, M. (2013) · Hippocampus · doi:10.1002/hipo.22104 · Cited by 18
Botterill, J. J., Nogovitsyn, N., Caruncho, H. J., & Kalynchuk, L. E. (2016) · The Journal of Comparative Neurology · doi:10.1002/cne.24071 · Cited by 20
Adjusting the brakes to adjust neuronal activity: Adenosinergic modulation of GABAergic transmission
Sebastião, A. M., & Ribeiro, J. A. (2023) · Neuropharmacology · doi:10.1016/j.neuropharm.2023.109600 · Cited by 18
The subiculum and its role in focal epileptic disorders
Lévesque, M., & Avoli, M. (2020) · Reviews in the Neurosciences · doi:10.1515/revneuro-2020-0091 · Cited by 18
Structural Organization of Perisomatic Inhibition in the Mouse Medial Prefrontal Cortex
Nagy-Pál, P., Veres, J. M., Fekete, Z., Karlócai, M. R., Weisz, F., Barabás, B., Reéb, Z., & Hájos, N. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0432-23.2023 · Cited by 17
Martina, M., Comas, T., & Mealing, G. A. R. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00024 · Cited by 21
Keimpema, E., Straiker, A. J., Mackie, K., Harkany, T., & Hjerling‐Leffler, J. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2011.224386 · Cited by 18
Different output properties of perisomatic region‐targeting interneurons in the basal amygdala
Barsy, B., Szabo, G. G., Andrási, T., Vikór, A., & Hájos, N. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13498 · Cited by 21
Cell Type-specific Intrinsic Perithreshold Oscillations in Hippocampal GABAergic Interneurons
Kang, Y., Lewis, H. E. S., Young, M. W., Govindaiah, G., Greenfield, L. J., García‐Rill, E., & Lee, S.-H. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.02.014 · Cited by 16
Noguchi, A., Yamashiro, K., Matsumoto, N., & Ikegaya, Y. (2023) · Communications Biology · doi:10.1038/s42003-023-04719-z · Cited by 17
Self-tuning of inhibition by endocannabinoids shapes spike-time precision in CA1 pyramidal neurons
Dubruc, F., Dupret, D., & Caillard, O. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00099.2013 · Cited by 19
Mattheus, T., Kukla, K., Zimmermann, T., Tenzer, S., & Lutz, B. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00339 · Cited by 16
Mechanisms of neural organization and rhythmogenesis during hippocampal and cortical ripples
McKenzie, S., Nitzan, N., & English, D. F. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0237 · Cited by 16
Contributions of Glutamate and GABA Systems to the Neurobiology and Treatment of Schizophrenia
Krystal, J. H., & Moghaddam, B. (2010) · Wiley eBooks · doi:10.1002/9781444327298.ch21 · Cited by 17
Adenosine A1 Receptor mRNA Expression by Neurons and Glia in the Auditory Forebrain
Hackett, T. A. (2018) · The Anatomical Record · doi:10.1002/ar.23907 · Cited by 17
The potential role of the cholecystokinin system in declarative memory
Lau, S. H., Young, C. H., Zheng, Y., & Chen, X. (2022) · Neurochemistry International · doi:10.1016/j.neuint.2022.105440 · Cited by 16
Abbaspoor, S., & Hoffman, K. L. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114519 · Cited by 17
Xu, K., Zhang, Y., Wang, Y., Ling, P., Xie, X., Jiang, C., Zhang, Z., & Lian, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101077 · Cited by 15
Functional specification of CCK+ interneurons by alternative isoforms of Kv4.3 auxiliary subunits
Oláh, V. J., Lukacsovich, D., Winterer, J., Arszovszki, A., Lőrincz, A., Nusser, Z., Földy, C., & Szabadics, J. (2020) · eLife · doi:10.7554/elife.58515 · Cited by 14
An update on cholinergic regulation of cholecystokinin‐expressing basket cells
Rio, C. A. C.-D., McBain, C. J., & Pelkey, K. A. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2011.225342 · Cited by 14
Quercetin attenuates the reduction of parvalbumin in middle cerebral artery occlusion animal model
Park, D.-J., Kang, J.-B., Shah, F. A., & Koh, P. (2021) · Laboratory Animal Research · doi:10.1186/s42826-021-00086-0 · Cited by 14
Cornu Ammonis Regions–Antecedents of Cortical Layers?
Mercer, A., & Thomson, A. M. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00083 · Cited by 17
Dyment, D. A., Schock, S., Deloughery, K., Tran, M. H., Ure, K., Nutter, L. M. J., Creighton, A., Yuan, J. S., Banderali, U., Comas, T., et al. (2020) · Genetics · doi:10.1534/genetics.120.303399 · Cited by 14
Noncanonical circuits, states, and computations of the hippocampus
Farrell, J. S., & Soltész, I. (2025) · Science · doi:10.1126/science.adv4420 · Cited by 14
Distinct dendritic integration strategies control dynamics of inhibition in the neocortex
Morabito, A., Zerlaut, Y., Dhanasobhon, D., Berthaux, E., Pinho, C. M., Tzilivaki, A., Moneron, G., Cathala, L., Poirazi, P., Bacci, A., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.05.029 · Cited by 20
Ali, A. B. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00831.2010 · Cited by 12
Metadata
- Authors
- Klausberger, T., Marton, L. F., O'Neill, J., Huck, J. H. J., Dalezios, Y., Fuentealba, P., Suen, W. Y., Papp, E., Kaneko, T., Watanabe, M., Csicsvari, J., & Somogyi, P.
- Affiliations
- University of Oxford (GB)
- Kyoto University (JP)
- Hokkaido University (JP)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2005-10-19
- Volume
- 25
- Issue
- 42
- Pages
- 9782-9793
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6725722
- OpenAlex
- W2103322364
- Cited by
- 469
- References
- 76
- Citations by year
- 2026: 16 · 2025: 26 · 2024: 17 · 2023: 20 · 2022: 17 · 2021: 20 · 2020: 23 · 2019: 15 · 2018: 27 · 2017: 19 · 2016: 25 · 2015: 24 · 2014: 28 · 2013: 19 · 2012: 19
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- Austrian Science Fund (P16637)
- 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
- cholecystokinin interneurons, parvalbumin interneurons, GABAergic interneurons, hippocampal CA1, theta oscillations, ripple oscillations, basket cells, axo-axonic cells, spike timing, endocannabinoids, cannabinoid receptor type 1, cell assemblies, pyramidal neurons
- MeSH terms
- Action Potentials, Animals, Biological Clocks, Cholecystokinin, gamma-Aminobutyric Acid, Gene Expression Regulation, Hippocampus, Male, Nerve Net, Neurons, Parvalbumins, Rats, Sprague-Dawley, Receptors, GABA, Rats
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