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 101–200 of 468
Wyeth, M. S., Zhang, N., Módy, I., & Houser, C. R. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1183-10.2010 · Cited by 102
Tukker, J. J., Lasztóczi, B., Katona, L., Roberts, J. D. B., Pissadaki, E. K., Dalezios, Y., Márton, L. F., Zhang, L., Klausberger, T., & Somogyi, P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5052-12.2013 · Cited by 95
Self-citationMarsicano, G., & Kuner, R. (2007) · Springer eBooks · doi:10.1007/978-0-387-74349-3_10 · Cited by 103
Tang, A.-H., Karson, M. A., Nagode, D. A., McIntosh, J. M., Uebele, V. N., Renger, J. J., Klugmann, M., Milner, T. A., & Alger, B. E. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2781-11.2011 · Cited by 92
Szabo, G. G., Holderith, N. B., Gulyás, A. I., Freund, T. F., & Hájos, N. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07292.x · Cited by 94
Probing the transcriptome of neuronal cell types
Nelson, S. B., Hempel, C., & Sugino, K. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.08.006 · Cited by 92
Capogna, M. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.201004 · Cited by 91
Complementary Modulation of Somatic Inhibition by Opioids and Cannabinoids
Glickfeld, L. L., Atallah, B. V., & Scanziani, M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4700-07.2008 · Cited by 88
Perisomatic inhibition and cortical circuit dysfunction in schizophrenia
Lewis, D. A., Fish, K. N., Arion, D., & Gonzalez-Burgos, G. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.013 · Cited by 87
Hong, J., & Bang, M. (2020) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2020.18.1.10 · Cited by 90
Cholecystokinin: A multi‐functional molecular switch of neuronal circuits
Lee, S. Y., & Soltész, I. (2010) · Developmental Neurobiology · doi:10.1002/dneu.20815 · Cited by 84
de Salas-Quiroga, A., García-Rincón, D., Gómez-Domínguez, D., Valero, M., Simón-Sánchez, S., Paraíso‐Luna, J., Aguareles, J., Pujadas, M., Muguruza, C., Callado, L. F., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0621-3 · Cited by 85
Makara, J. K., Katona, I., Nyíri, G., Németh, B., Ledent, C. A., Watanabe, M., de Vente, J., Freund, T. F., & Hájos, N. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2104-07.2007 · Cited by 84
Self-citationDistribution of interneurons in the CA2 region of the rat hippocampus
Botcher, N. A., Falck, J. E., Thomson, A. M., & Mercer, A. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00104 · Cited by 91
Cutsuridis, V., & Hasselmo, M. E. (2012) · Hippocampus · doi:10.1002/hipo.21002 · Cited by 85
Eggan, S. M., Melchitzky, D. S., Sesack, S. R., Fish, K. N., & Lewis, D. A. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.06.011 · Cited by 83
Vereczki, V., Veres, J. M., Müller, K., Nagy, G. A., Rácz, B., Barsy, B., & Hájos, N. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00020 · Cited by 79
Takács, V. T., Freund, T. F., & Gulyás, A. I. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06319.x · Cited by 81
Lasztóczi, B., Tukker, J. J., Somogyi, P., & Klausberger, T. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3573-11.2011 · Cited by 83
Self-citationChung, H., Park, K., Jang, H. J., Kohl, M. M., & Kwag, J. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02044-3 · Cited by 85
The brain dynamics of linguistic computation
Murphy, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01515 · Cited by 84
Discrete Place Fields of Hippocampal Formation Interneurons
Wilent, W. B., & Nitz, D. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01200.2006 · Cited by 82
Sebastião, A. M., & Ribeiro, J. A. (2014) · Brain Research · doi:10.1016/j.brainres.2014.11.008 · Cited by 82
Kuruba, R., Hattiangady, B., Parihar, V. K., Shuai, B., & Shetty, A. K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024493 · Cited by 77
Heldt, S. A., Mou, L., & Ressler, K. J. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.101 · Cited by 76
Structural organization of long-range GABAergic projection system of the hippocampus
Jinno, S. (2009) · Frontiers in Neuroanatomy · doi:10.3389/neuro.05.013.2009 · Cited by 75
Altered hippocampal interneuron activity precedes ictal onset
Miri, M. L., Vinck, M. A., Pant, R., & Cardin, J. A. (2018) · eLife · doi:10.7554/elife.40750 · Cited by 75
Gulyás, A. I., & Freund, T. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.020 · Cited by 81
Staba, R. J., & Bragin, A. (2011) · Biomarkers in Medicine · doi:10.2217/bmm.11.72 · Cited by 75
Oren, I., Hájos, N., & Paulsen, O. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2009.180851 · Cited by 73
It’s All in the Rhythm: The Role of Cannabinoids in Neural Oscillations and Psychosis
Skosnik, P. D., Cortes-Briones, J., & Hajós, M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.011 · Cited by 72
The Role of Endocannabinoid Signaling in Cortical Inhibitory Neuron Dysfunction in Schizophrenia
Volk, D. W., & Lewis, D. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.06.015 · Cited by 73
Takács, V. T., Szőnyi, A., Freund, T. F., Nyíri, G., & Gulyás, A. I. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0692-6 · Cited by 71
Hilar mossy cells: functional identification and activity in vivo
Henze, D. A., & Buzsáki, G. (2007) · Progress in brain research · doi:10.1016/s0079-6123(07)63012-x · Cited by 71
Eggan, S. M., Mizoguchi, Y., Stoyak, S. R., & Lewis, D. A. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp179 · Cited by 64
Kohus, Z., Káli, S., Rovira‐Esteban, L., Schlingloff, D., Papp, O., Freund, T. F., Hájos, N., & Gulyás, A. I. (2016) · The Journal of Physiology · doi:10.1113/jp272231 · Cited by 66
Ali, A. B., & Todorova, M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07165.x · Cited by 66
Millisecond Timescale Synchrony among Hippocampal Neurons
Diba, K., Amarasingham, A., Mizuseki, K., & Buzsáki, G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1091-14.2014 · Cited by 69
Kucewicz, M. T., Tricklebank, M. D., Bogacz, R., & Jones, M. W. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2970-11.2011 · Cited by 66
An Approach for Reliably Investigating Hippocampal Sharp Wave-Ripples In Vitro
Maier, N., Morris, G., Johenning, F. W., & Schmitz, D. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006925 · Cited by 67
Interneuron control of hippocampal oscillations
Allen, K., & Monyer, H. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.016 · Cited by 64
Santucci, D., Kawano, F., Ohira, T., Terada, M., Nakai, N., Francia, N., Alleva, E., Aloe, L., Ochiai, T., Cancedda, R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040112 · Cited by 64
Carter, E., & Wang, X.-J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm103 · Cited by 64
Enhanced hippocampal theta rhythmicity and emergence of eta oscillation in virtual reality
Safaryan, K., & Mehta, M. R. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00871-z · Cited by 63
Hippocampal CB1 Receptors Control Incidental Associations
Busquets-García, A., da Cruz, J. F. O., Terral, G., Zottola, A. C. P., Gómez, E. S., Contini, A., Martin, H., Redon, B., Varilh, M., Ioannidou, C., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.014 · Cited by 68
Ripple-selective GABAergic projection cells in the hippocampus
Szabo, G. G., Farrell, J. S., Dudok, B., Hou, W., Ortiz, A. L., Varga, C., Moolchand, P., Gülsever, C. İ., Gschwind, T., Dimidschstein, J., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.04.002 · Cited by 61
Nicola, W., & Clopath, C. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0415-2 · Cited by 61
Effects of acetylcholine on neuronal properties in entorhinal cortex
Heys, J. G., Schultheiss, N. W., Shay, C. F., Tsuno, Y., & Hasselmo, M. E. (2012) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2012.00032 · Cited by 61
Cannabinoid Sensitivity and Synaptic Properties of 2 GABAergic Networks in the Neocortex
Galarreta, M., Erdélyi, F., Szabó, G., & Hestrin, S. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm253 · Cited by 59
Synaptic mechanisms of adenosine A2A receptor‐mediated hyperexcitability in the hippocampus
Rombo, D. M., Newton, K., Nissen, W., Badurek, S., Horn, J. M., Minichiello, L., Jefferys, J. G. R., Sebastião, A. M., & Lamsa, K. P. (2014) · Hippocampus · doi:10.1002/hipo.22392 · Cited by 56
Cannabinoids as hippocampal network administrators
Lupica, C. R., Hu, Y., Devinsky, O., & Hoffman, A. F. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.04.003 · Cited by 55
Modulation of hippocampal rhythms by subthreshold electric fields and network topology
Berzhanskaya, J., Chernyy, N., Gluckman, B. J., Schiff, S. J., & Ascoli, G. A. (2012) · Journal of Computational Neuroscience · doi:10.1007/s10827-012-0426-4 · Cited by 54
Theta Phase Classification of Interneurons in the Hippocampal Formation of Freely Moving Rats
Czurkó, A., Huxter, J. R., Li, Y., Hangya, B., & Muller, R. U. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5037-10.2011 · Cited by 58
Medalla, M., Gilman, J. P., Wang, J., & Luebke, J. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3757-16.2017 · Cited by 56
Ali, A. B., Bannister, A. P., & Thomson, A. M. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2006.124214 · Cited by 53
Cea‐del Rio, C. A., Lawrence, J. J., Erdelyi, F., Szabo, G., & McBain, C. J. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.199422 · Cited by 53
Hartzell, A. L., Martyniuk, K. M., Brigidi, G. S., Heinz, D. A., Djaja, N. A., Payne, A., & Bloodgood, B. L. (2018) · eLife · doi:10.7554/elife.35927 · Cited by 60
Joshi, S., & Hawken, M. J. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.02.004 · Cited by 52
Ferando, I., & Mody, I. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00144 · Cited by 52
Wierenga, C. J., Müllner, F. E., Rinke, I., Keck, T., Stein, V., & Bonhoeffer, T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015915 · Cited by 52
Tanaka, D. H., Toriumi, K., Kubo, K., Nabeshima, T., & Nakajima, K. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2786-11.2011 · Cited by 56
Jackson, J., Dickson, C. T., & Bland, B. H. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00065.2008 · Cited by 53
Klar, R., Walker, A. G., Ghose, D., Grueter, B. A., Engers, D. W., Hopkins, C. R., Lindsley, C. W., Xiang, Z., Conn, P. J., & Niswender, C. M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4543-14.2015 · Cited by 51
GABAergic System Dysfunction and Challenges in Schizophrenia Research
Jahangir, M., Zhou, J., Lang, B., & Wang, X. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.663854 · Cited by 55
Slow integration leads to persistent action potential firing in distal axons of coupled interneurons
Sheffield, M. E. J., Best, T. K., Mensh, B. D., Kath, W. L., & Spruston, N. (2011) · BMC Neuroscience · doi:10.1186/1471-2202-12-s1-o17 · Cited by 50
Endogenous cannabinoid signaling at inhibitory interneurons
Younts, T. J., & Castillo, P. E. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.006 · Cited by 52
der Weel, M. J. D.-V., Lopes, F. H. D. S., & Witter, M. P. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1350-6 · Cited by 52
Recruitment of oriens-lacunosum-moleculare interneurons during hippocampal ripples
Pangalos, M., Donoso, J. R., Winterer, J., Zivkovic, A. R., Kempter, R., Maier, N., & Schmitz, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215496110 · Cited by 50
Modi, B., Pimpinella, D., Pazienti, A., Zacchi, P., Cherubini, E., & Griguoli, M. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00513 · Cited by 57
Lee, S.-H., & Soltész, I. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.198499 · Cited by 51
Giesers, N. K., & Wirths, O. (2020) · ASN Neuro · doi:10.1177/1759091420925356 · Cited by 47
The fate of interneurons, GABA A receptor sub‐types and perineuronal nets in Alzheimer's disease
Ali, A. B., Islam, A., & Constanti, A. (2022) · Brain Pathology · doi:10.1111/bpa.13129 · Cited by 49
Inhibition shapes the organization of hippocampal representations
McKenzie, S. (2017) · Hippocampus · doi:10.1002/hipo.22803 · Cited by 46
Generation of Sharp Wave-Ripple Events by Disinhibition
Evangelista, R., Cano, G., Cooper, C., Schmitz, D., Maier, N., & Kempter, R. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2174-19.2020 · Cited by 48
Rombo, D. M., Dias, R. B., Duarte, S. T., Ribeiro, J. A., Lamsa, K. P., & Sebastião, A. M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu288 · Cited by 47
Striatum–hippocampus balance: From physiological behavior to interneuronal pathology
Ghiglieri, V., Sgobio, C., Costa, C., Picconi, B., & Calabresi, P. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.04.005 · Cited by 47
Lenkey, N., Kirizs, T., Holderith, N., Máté, Z., Szabó, G., Vizi, E. S., Hájos, N., & Nusser, Z. (2015) · Nature Communications · doi:10.1038/ncomms7557 · Cited by 45
Bilash, O. M., Chavlis, S., Johnson, C. D., Poirazi, P., & Basu, J. (2023) · Cell Reports · doi:10.1016/j.celrep.2022.111962 · Cited by 52
Donoso, J. R., Schmitz, D., Maier, N., & Kempter, R. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0188-17.2018 · Cited by 43
Reorganization of CA1 dendritic dynamics by hippocampal sharp-wave ripples during learning
Rolotti, S. V., Blockus, H., Sparks, F. T., Priestley, J. B., & Losonczy, A. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.017 · Cited by 50
Daw, M. I., Pelkey, K. A., Chittajallu, R., & McBain, C. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.6334-09.2010 · Cited by 43
Li, S., Topchiy, I., & Kocsis, B. (2007) · Synapse · doi:10.1002/syn.20388 · Cited by 42
Navas-Olivé, A., Amaducci, R., Jurado-Parras, M.-T., Sebastian, E. R., & de la Prida, L. M. (2022) · eLife · doi:10.7554/elife.77772 · Cited by 43
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
Specific Hippocampal Interneurons Shape Consolidation of Recognition Memory
da Cruz, J. F. O., Busquets-García, A., Zhao, Z., Varilh, M., Lavanco, G., Bellocchio, L., Robin, L. M., Cannich, A., Julio‐Kalajzić, F., Lesté-Lasserre, T., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2020.108046 · Cited by 42
Liu, X., Dimidschstein, J., Fishell, G., & Carter, A. G. (2020) · eLife · doi:10.7554/elife.55267 · Cited by 46
Gasser, E. M. S., Duveau, V., Prenosil, G., & Fritschy, J. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05558.x · Cited by 40
Romani, A., Antonietti, A., Bella, D., Budd, J., Giacalone, E., Kurban, K., Sáray, S., Abdellah, M., Arnaudon, A., Boci, E., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002861 · Cited by 39
Cannabinoids disrupt hippocampal sharp wave‐ripples via inhibition of glutamate release
Maier, N., Morris, G., Schuchmann, S., Korotkova, T. M., Ponomarenko, A. A., Böhm, C., Wozny, C., & Schmitz, D. (2011) · Hippocampus · doi:10.1002/hipo.20971 · Cited by 40
Forro, T., Valenti, O., Lasztoczi, B., & Klausberger, T. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht316 · Cited by 38
Self-citationCellot, G., & Cherubini, E. (2014) · Physiological Reports · doi:10.14814/phy2.12077 · Cited by 38
Megahed, T., Hattiangady, B., Shuai, B., & Shetty, A. K. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00447 · Cited by 38
Waider, J., Proft, F., Langlhofer, G., Asan, E., Lesch, K., & Gutknecht, L. (2012) · Histochemistry and Cell Biology · doi:10.1007/s00418-012-1029-x · Cited by 40
Krasowska, E., Zabłocki, K., Górecki, D. C., & Swinny, J. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108364 · Cited by 35
Amyloid β induces interneuron-specific changes in the hippocampus of APPNL-F mice
Sos, K. E., Mayer, M. I., Takács, V. T., Major, A., Bardóczi, Z., Beres, B. M., Szeles, T., Saito, T., Saido, T. C., Mody, I., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0233700 · Cited by 37
Medeiros, D. D. C., Cota, V. R., de Oliveira, A. C. P., Moreira, F. A., & Moraes, M. F. D. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.603245 · Cited by 39
Chandelier Cells in Functional and Dysfunctional Neural Circuits
Wang, Y., Zhang, P., & Wyskiel, D. R. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00033 · Cited by 40
Hussain, T., Kil, H., Hattiangady, B., Lee, J., Kodali, M., Shuai, B., Attaluri, S., Takata, Y., Shen, J., Abba, M. C., et al. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.09.026 · Cited by 36
Tecuatl, C., Wheeler, D. W., Sutton, N. M., & Ascoli, G. A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1193-20.2020 · Cited by 36
Panzanelli, P., Früh, S., & Fritschy, J. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1462-7 · Cited by 36
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