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Coherent Theta Oscillations and Reorganization of Spike Timing in the Hippocampal- Prefrontal Network upon Learning
Open accessAbstract
To study the interplay between hippocampus and medial prefrontal cortex (Pfc) and its importance for learning and memory consolidation, we measured the coherence in theta oscillations between these two structures in rats learning new rules on a Y maze. Coherence peaked at the choice point, most strongly after task rule acquisition. Simultaneously, Pfc pyramidal neurons reorganized their phase, concentrating at hippocampal theta trough, and synchronous cell assemblies emerged. This synchronous state may result from increased inhibition exerted by interneurons on pyramidal cells, as measured by cross-correlation, and could be modulated by dopamine: we found similar hippocampal-Pfc theta coherence increases and neuronal phase shifts following local administration of dopamine in Pfc of anesthetized rats. Pfc cell assemblies emerging during high coherence were preferentially replayed during subsequent sleep, concurrent with hippocampal sharp waves. Thus, hippocampal/prefrontal coherence could lead to synchronization of reward predicting activity in prefrontal networks, tagging it for subsequent memory consolidation.
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“In rats, prefrontal cell assemblies that fired during learning when EEG theta coherence between the prefrontal cortex and hippocampus was increased showed a distinctly increased probability to be reactivated during subsequent SWS (73).”
From About Sleep's Role in Memory (2013) · cites this paper as [73]
In the citing paper
“the theta coherence between the PFC and hippocampus was increased, especially after rats had learned how to reliably procure food”
From The medial prefrontal cortex - hippocampus circuit that integrates information of object, place and time to construct episodic memory in rodents: Behavioral, anatomical and neurochemical properties (2020) · cites this paper as Benchenane et al., 2010
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Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
Bi, G.-Q., & Poo, M.-M. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-24-10464.1998 · Cited by 4,744
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
Markram, H., Lübke, J., Frotscher, M., & Sakmann, B. (1997) · Science · doi:10.1126/science.275.5297.213 · Cited by 3,832
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Theta oscillations in the hippocampus
Buzsáki, G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00586-x · Cited by 3,332
Statistical Analysis of Circular Data.
LANGE, N. D., & Fisher, N. I. (1995) · Journal of the American Statistical Association · doi:10.2307/2291098 · Cited by 2,155
The organization of recent and remote memories
Frankland, P. W., & Bontempi, B. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1607 · Cited by 2,138
Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
A cortical–hippocampal system for declarative memory
Eichenbaum, H. (2000) · Nature reviews. Neuroscience · doi:10.1038/35036213 · Cited by 1,817
Two-stage model of memory trace formation: A role for “noisy” brain states
Buzsáki, G. (1989) · Neuroscience · doi:10.1016/0306-4522(89)90423-5 · Cited by 1,709
Selective suppression of hippocampal ripples impairs spatial memory
Girardeau, G., Benchenane, K., Wiener, S. I., Buzsáki, G., & Zugaro, M. B. (2009) · Nature Neuroscience · doi:10.1038/nn.2384 · Cited by 1,560
Self-citationMedial Frontal Cortex Mediates Perceptual Attentional Set Shifting in the Rat
Birrell, J. M., & Brown, V. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-11-04320.2000 · Cited by 1,421
Modulation of Neuronal Interactions Through Neuronal Synchronization
Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P. (2007) · Science · doi:10.1126/science.1139597 · Cited by 1,367
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
Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77236-x · Cited by 1,044
Fries, P., Nikolić, D., & Singer, W. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.005 · Cited by 1,044
Entrainment of Neocortical Neurons and Gamma Oscillations by the Hippocampal Theta Rhythm
Sirota, A., Montgomery, S., Fujisawa, S., Isomura, Y., Zugaro, M., & Buzsáki, G. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.014 · Cited by 1,015
Prefrontal phase locking to hippocampal theta oscillations
Siapas, A. G., Lubenov, E. V., & Wilson, M. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.028 · Cited by 1,014
Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point
Johnson, A., & Redish, A. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3761-07.2007 · Cited by 1,003
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912
Organization of cell assemblies in the hippocampus
Harris, K. D., Csicsvari, J., Hirase, H., Dragoi, G., & Buzsáki, G. (2003) · Nature · doi:10.1038/nature01834 · Cited by 901
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1998) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · Cited by 898
Moscovitch, M., Rosenbaum, R. S., Gilboa, A., Addis, D. R., Westmacott, R., Grady, C., McAndrews, M. P., Levine, B., Black, S., Winocur, G., et al. (2005) · Journal of Anatomy · doi:10.1111/j.1469-7580.2005.00421.x · Cited by 893
Reward, Motivation, and Reinforcement Learning
Dayan, P., & Balleine, B. W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00963-7 · Cited by 855
Jay, T. M., & Witter, M. P. (1991) · The Journal of Comparative Neurology · doi:10.1002/cne.903130404 · Cited by 841
Statistical Analysis of Circular Data.
Sprent, P., & Fischer, N. I. (1994) · Journal of Applied Ecology · doi:10.2307/2404554 · Cited by 791
Replay of rule-learning related neural patterns in the prefrontal cortex during sleep
Peyrache, A., Khamassi, M., Benchenane, K., Wiener, S. I., & Battaglia, F. P. (2009) · Nature Neuroscience · doi:10.1038/nn.2337 · Cited by 767
Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex
Fujisawa, S., Amarasingham, A., Harrison, M. T., & Buzsáki, G. (2008) · Nature Neuroscience · doi:10.1038/nn.2134 · Cited by 701
Human memory formation is accompanied by rhinal–hippocampal coupling and decoupling
Fell, J., Klaver, P., Lehnertz, K., Grünwald, T., Schaller, C., Elger, C. E., & Fernández, G. (2001) · Nature Neuroscience · doi:10.1038/nn759 · Cited by 692
Doya, K. (2008) · Nature Neuroscience · doi:10.1038/nn2077 · Cited by 642
Floresco, S. B., Seamans, J. K., & Phillips, A. G. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-05-01880.1997 · Cited by 626
Hazan, L., Zugaro, M. B., & Buzsáki, G. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.01.017 · Cited by 492
A theory for cerebral neocortex
Marr, D. (1970) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1970.0040 · Cited by 463
Role of GABAergic inhibition in hippocampal network oscillations
Mann, E. O., & Paulsen, O. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.05.003 · Cited by 405
Tseng, K. Y., & O'Donnell, P. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1021-04.2004 · Cited by 402
Gurden, H., Takita, M., & Jay, T. M. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-22-j0003.2000 · Cited by 366
Orientation and Direction Selectivity of Synaptic Inputs in Visual Cortical Neurons
Monier, C., Chavane, F., Baudot, P., Graham, L. J., & Frégnac, Y. (2003) · Neuron · doi:10.1016/s0896-6273(03)00064-3 · Cited by 356
Hebbian STDP in mushroom bodies facilitates the synchronous flow of olfactory information in locusts
Cassenaer, S., & Laurent, G. (2007) · Nature · doi:10.1038/nature05973 · Cited by 335
Gireesh, E. D., & Plenz, D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800537105 · Cited by 332
Constantinidis, C., & Goldman, P. S. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00188.2002 · Cited by 330
Experience-dependent phase-reversal of hippocampal neuron firing during REM sleep
Poe, G. R., Nitz, D. A., McNaughton, B. L., & Barnes, C. A. (2000) · Brain Research · doi:10.1016/s0006-8993(99)02310-0 · Cited by 318
Blatow, M., Rozov, A., Katona, I., Hormuzdi, S. G., Meyer, A. H., Whittington, M. A., Caputi, A., & Monyer, H. (2003) · Neuron · doi:10.1016/s0896-6273(03)00300-3 · Cited by 316
Hyman, J. M., Zilli, E. A., Paley, A., & Hasselmo, M. E. (2005) · Hippocampus · doi:10.1002/hipo.20106 · Cited by 313
Dynamic Analysis of Learning in Behavioral Experiments
Smith, A. C., Frank, L. M., Wirth, S., Yanike, M., Hu, D., Kubota, Y., Graybiel, A. M., SUZUKI, W. A., & Brown, E. N. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.2908-03.2004 · Cited by 313
Covert expectation-of-reward in rat ventral striatum at decision points
van der Meer, M. A. A. (2009) · Frontiers in Integrative Neuroscience · doi:10.3389/neuro.07.001.2009 · Cited by 299
Hippocampal place cell assemblies are speed-controlled oscillators
Geisler, C. E., Robbe, D., Zugaro, M., Sirota, A., & Buzsáki, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610121104 · Cited by 286
Couey, J. J., Meredith, R. M., Spijker, S., Poorthuis, R. B., Smit, A. B., Brussaard, A. B., & Mansvelder, H. D. (2007) · Neuron · doi:10.1016/j.neuron.2007.03.006 · Cited by 253
NMDA Receptor Antagonism Blocks Experience-Dependent Expansion of Hippocampal “Place Fields”
Ekstrom, A. D., Meltzer, J., McNaughton, B. L., & Barnes, C. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00401-9 · Cited by 246
Zhang, J.-C., Lau, P.-M., & Bi, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900546106 · Cited by 241
Phase precession of medial prefrontal cortical activity relative to the hippocampal theta rhythm
Jones, M. W., & Wilson, M. A. (2005) · Hippocampus · doi:10.1002/hipo.20119 · Cited by 213
Influence of the hippocampus on interneurons of the rat prefrontal cortex
Tierney, P. L., Dégenètais, E., Thierry, A., Glowinski, J., & Gioanni, Y. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03501.x · Cited by 192
Chapin, J. K., & Nicolelis, M. A. L. (1999) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(99)00130-2 · Cited by 172
Delatour, B., & Gisquet-Verrier, P. (2000) · Behavioural Brain Research · doi:10.1016/s0166-4328(99)00168-0 · Cited by 170
van der Meer, M. A. A. (2009) · Frontiers in Integrative Neuroscience · doi:10.3389/neuro.07.009.2009 · Cited by 161
Peyrache, A., Benchenane, K., Khamassi, M., Wiener, S. I., & Battaglia, F. P. (2009) · Journal of Computational Neuroscience · doi:10.1007/s10827-009-0154-6 · Cited by 139
Chapman, C. A., & Lacaille, J. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.3.1296 · Cited by 137
Episodic memory and cortico–hippocampal interactions
Shastri, L. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01868-5 · Cited by 136
Dégenètais, E. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.7.782 · Cited by 131
Schreiber, S., Fellous, J., Tiesinga, P. H. E., & B, T. J. S. A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00556.2003 · Cited by 98
van der Meulen, J. A. J., Joosten, R. N. J. M. A., de Bruin, J. P. C., & Feenstra, M. G. P. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl057 · Cited by 73
Learning-Induced Enduring Changes in Functional Connectivity among Prefrontal Cortical Neurons
Baeg, E. H., Kim, Y. B., Kim, J., Ghim, J.-W., Kim, J. J., & Jung, M. W. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4759-06.2007 · Cited by 65
Dopamine Modulates Temporal Dynamics of Feedforward Inhibition in Rat Prefrontal Cortex In Vivo
Tierney, P. L., Thierry, A. M., Glowinski, J., Deniau, J., & Gioanni, Y. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm252 · Cited by 44
Dopaminergic Modulation of Local Network Activity in Rat Prefrontal Cortex
Bandyopadhyay, S., & Hablitz, J. J. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00898.2006 · Cited by 36
Cortico-hippocampal communication by way of parallel parahippocampal-subicular pathways.
Lavenex (2000) · Pure Amsterdam UMC · doi:10.1002/1098-1063(2000)10:4 · Cited by 1
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Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
Frontal theta as a mechanism for cognitive control
Cavanagh, J. F., & Frank, M. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.012 · Cited by 2,726
The functional role of cross-frequency coupling
Canolty, R. T., & Knight, R. T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.09.001 · Cited by 2,101
Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., & Pennartz, C. M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.055 · Cited by 1,753
Metadata
- Authors
- Benchenane, K., Peyrache, A., Khamassi, M., Tierney, P. L., Gioanni, Y., Battaglia, F. P., & Wiener, S. I.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- McGovern Institute for Brain Research (US)
- Inserm (FR)
- Corresponding author
- Benchenane, Karim
- Battaglia, Francesco P.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 66
- Issue
- 6
- Pages
- 921-936
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2130674184
- Cited by
- 872
- References
- 73
- Citations by year
- 2026: 35 · 2025: 53 · 2024: 55 · 2023: 41 · 2022: 45 · 2021: 70 · 2020: 65 · 2019: 49 · 2018: 61 · 2017: 88 · 2016: 57 · 2015: 60 · 2014: 55 · 2013: 57 · 2012: 34
- FWCI
- 26.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Elsevier eBooks
- Funders
- Johns Hopkins University
- Fondation Fyssen
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- hippocampus, medial prefrontal cortex, theta oscillations, neural coherence, spike timing, rule induction, Y-maze, memory consolidation, dopamine, interneurons, pyramidal neurons, sharp-wave ripples, reward prediction
- MeSH terms
- Action Potentials, Animals, Behavior, Animal, Dopamine, Hippocampus, Male, Neural Inhibition, Neural Pathways, Neurons, Periodicity, Reward, Spectrum Analysis, Time Factors, Prefrontal Cortex, Maze Learning, Rats, Long-Evans, Principal Component Analysis, Rats
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