Literature DB >> 20375279

Temporal delays among place cells determine the frequency of population theta oscillations in the hippocampus.

Caroline Geisler1, Kamran Diba, Eva Pastalkova, Kenji Mizuseki, Sebastien Royer, György Buzsáki.   

Abstract

Driven either by external landmarks or by internal dynamics, hippocampal neurons form sequences of cell assemblies. The coordinated firing of these active cells is organized by the prominent "theta" oscillations in the local field potential (LFP): place cells discharge at progressively earlier theta phases as the rat crosses the respective place field ("phase precession"). The faster oscillation frequency of active neurons and the slower theta LFP, underlying phase precession, creates a paradox. How can faster oscillating neurons comprise a slower population oscillation, as reflected by the LFP? We built a mathematical model that allowed us to calculate the population activity analytically from experimentally derived parameters of the single neuron oscillation frequency, firing field size (duration), and the relationship between within-theta delays of place cell pairs and their distance representations ("compression"). The appropriate combination of these parameters generated a constant frequency population rhythm along the septo-temporal axis of the hippocampus, while allowing individual neurons to vary their oscillation frequency and field size. Our results suggest that the faster-than-theta oscillations of pyramidal cells are inherent and that phase precession is a result of the coordinated activity of temporally shifted cell assemblies, relative to the population activity, reflected by the LFP.

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Year:  2010        PMID: 20375279      PMCID: PMC2867922          DOI: 10.1073/pnas.0912478107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  51 in total

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Review 2.  Synaptic computation.

Authors:  L F Abbott; Wade G Regehr
Journal:  Nature       Date:  2004-10-14       Impact factor: 49.962

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Review 4.  State-dependent computations: spatiotemporal processing in cortical networks.

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5.  Hippocampus-independent phase precession in entorhinal grid cells.

Authors:  Torkel Hafting; Marianne Fyhn; Tora Bonnevie; May-Britt Moser; Edvard I Moser
Journal:  Nature       Date:  2008-05-14       Impact factor: 49.962

6.  Activity-dependent action potential invasion and calcium influx into hippocampal CA1 dendrites.

Authors:  N Spruston; Y Schiller; G Stuart; B Sakmann
Journal:  Science       Date:  1995-04-14       Impact factor: 47.728

7.  Distinct representations and theta dynamics in dorsal and ventral hippocampus.

Authors:  Sébastien Royer; Anton Sirota; Jagdish Patel; György Buzsáki
Journal:  J Neurosci       Date:  2010-02-03       Impact factor: 6.167

8.  Hippocampal network dynamics constrain the time lag between pyramidal cells across modified environments.

Authors:  Kamran Diba; György Buzsáki
Journal:  J Neurosci       Date:  2008-12-10       Impact factor: 6.167

9.  Organization of hippocampal cell assemblies based on theta phase precession.

Authors:  Andrew P Maurer; Stephen L Cowen; Sara N Burke; Carol A Barnes; Bruce L McNaughton
Journal:  Hippocampus       Date:  2006       Impact factor: 3.753

10.  Intracellular dynamics of hippocampal place cells during virtual navigation.

Authors:  Christopher D Harvey; Forrest Collman; Daniel A Dombeck; David W Tank
Journal:  Nature       Date:  2009-10-15       Impact factor: 49.962

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  59 in total

1.  Cosine directional tuning of theta cell burst frequencies: evidence for spatial coding by oscillatory interference.

Authors:  Adam C Welday; I Gary Shlifer; Matthew L Bloom; Kechen Zhang; Hugh T Blair
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Phase precession through acceleration of local theta rhythm: a biophysical model for the interaction between place cells and local inhibitory neurons.

Authors:  Luísa Castro; Paulo Aguiar
Journal:  J Comput Neurosci       Date:  2012-01-04       Impact factor: 1.621

Review 3.  SCN1A mutations in Dravet syndrome: impact of interneuron dysfunction on neural networks and cognitive outcome.

Authors:  Alex C Bender; Richard P Morse; Rod C Scott; Gregory L Holmes; Pierre-Pascal Lenck-Santini
Journal:  Epilepsy Behav       Date:  2012-02-16       Impact factor: 2.937

4.  Cooling of Medial Septum Reveals Theta Phase Lag Coordination of Hippocampal Cell Assemblies.

Authors:  Peter Christian Petersen; György Buzsáki
Journal:  Neuron       Date:  2020-06-10       Impact factor: 17.173

5.  Theta oscillations decrease spike synchrony in the hippocampus and entorhinal cortex.

Authors:  Kenji Mizuseki; György Buzsaki
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

6.  Hippocampal Neural Circuits Respond to Optogenetic Pacing of Theta Frequencies by Generating Accelerated Oscillation Frequencies.

Authors:  Ipshita Zutshi; Mark P Brandon; Maylin L Fu; Macayla L Donegan; Jill K Leutgeb; Stefan Leutgeb
Journal:  Curr Biol       Date:  2018-04-05       Impact factor: 10.834

7.  The hippocampal code for space in Mongolian gerbils.

Authors:  Emily A Mankin; Kay Thurley; Alireza Chenani; Olivia V Haas; Luca Debs; Josephine Henke; Melissa Galinato; Jill K Leutgeb; Stefan Leutgeb; Christian Leibold
Journal:  Hippocampus       Date:  2019-02-12       Impact factor: 3.899

8.  Back to the future: preserved hippocampal network activity during reverse ambulation.

Authors:  Andrew P Maurer; Adam W Lester; Sara N Burke; Jonathan J Ferng; Carol A Barnes
Journal:  J Neurosci       Date:  2014-11-05       Impact factor: 6.167

9.  Inhibitory suppression of heterogeneously tuned excitation enhances spatial coding in CA1 place cells.

Authors:  Christine Grienberger; Aaron D Milstein; Katie C Bittner; Sandro Romani; Jeffrey C Magee
Journal:  Nat Neurosci       Date:  2017-01-23       Impact factor: 24.884

10.  Phase coding by grid cells in unconstrained environments: two-dimensional phase precession.

Authors:  Jason R Climer; Ehren L Newman; Michael E Hasselmo
Journal:  Eur J Neurosci       Date:  2013-05-29       Impact factor: 3.386

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