Literature DB >> 32248781

Memory reactivation in rat medial prefrontal cortex occurs in a subtype of cortical UP state during slow-wave sleep.

Masami Tatsuno1, Soroush Malek1, LeAnna Kalvi1,2, Adrian Ponce-Alvarez3, Karim Ali1, David R Euston1, Sonja Gruen4,5, Bruce L McNaughton1,6.   

Abstract

Interaction between hippocampal sharp-wave ripples (SWRs) and UP states, possibly by coordinated reactivation of memory traces, is conjectured to play an important role in memory consolidation. Recently, it was reported that SWRs were differentiated into multiple subtypes. However, whether cortical UP states can also be classified into subtypes is not known. Here, we analysed neural ensemble activity from the medial prefrontal cortex from rats trained to run a spatial sequence-memory task. Application of the hidden Markov model (HMM) with three states to epochs of UP-DOWN oscillations identified DOWN states and two subtypes of UP state (UP-1 and UP-2). The two UP subtypes were distinguished by differences in duration, with UP-1 having a longer duration than UP-2, as well as differences in the speed of population vector (PV) decorrelation, with UP-1 decorrelating more slowly than UP-2. Reactivation of recent memory sequences predominantly occurred in UP-2. Short-duration reactivating UP states were dominated by UP-2 whereas long-duration ones exhibit transitions from UP-1 to UP-2. Thus, recent memory reactivation, if it occurred within long-duration UP states, typically was preceded by a period of slow PV evolution not related to recent experience, and which we speculate may be related to previously encoded information. If that is the case, then the transition from UP-1 to UP-2 subtypes may help gradual integration of recent experience with pre-existing cortical memories by interleaving the two in the same UP state. This article is part of the Theo Murphy meeting issue 'Memory reactivation: replaying events past, present and future'.

Entities:  

Keywords:  UP–DOWN oscillation; hidden Markov model; memory reactivation; principal component analysis; slow-wave sleep

Mesh:

Year:  2020        PMID: 32248781      PMCID: PMC7209915          DOI: 10.1098/rstb.2019.0227

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  28 in total

1.  Temporally structured replay of awake hippocampal ensemble activity during rapid eye movement sleep.

Authors:  K Louie; M A Wilson
Journal:  Neuron       Date:  2001-01       Impact factor: 17.173

2.  Memory of sequential experience in the hippocampus during slow wave sleep.

Authors:  Albert K Lee; Matthew A Wilson
Journal:  Neuron       Date:  2002-12-19       Impact factor: 17.173

3.  Nonlinear-dynamics theory of up-down transitions in neocortical neural networks.

Authors:  Maryam Ghorbani; Mayank Mehta; Robijn Bruinsma; Alex J Levine
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-02-13

4.  Coordinated reactivation of distributed memory traces in primate neocortex.

Authors:  K L Hoffman; B L McNaughton
Journal:  Science       Date:  2002-09-20       Impact factor: 47.728

5.  Fast-forward playback of recent memory sequences in prefrontal cortex during sleep.

Authors:  David R Euston; Masami Tatsuno; Bruce L McNaughton
Journal:  Science       Date:  2007-11-16       Impact factor: 47.728

6.  Dynamics of cortical neuronal ensembles transit from decision making to storage for later report.

Authors:  Adrián Ponce-Alvarez; Verónica Nácher; Rogelio Luna; Alexa Riehle; Ranulfo Romo
Journal:  J Neurosci       Date:  2012-08-29       Impact factor: 6.167

7.  Replay and time compression of recurring spike sequences in the hippocampus.

Authors:  Z Nádasdy; H Hirase; A Czurkó; J Csicsvari; G Buzsáki
Journal:  J Neurosci       Date:  1999-11-01       Impact factor: 6.167

8.  Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience.

Authors:  W E Skaggs; B L McNaughton
Journal:  Science       Date:  1996-03-29       Impact factor: 47.728

9.  The stereotrode: a new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records.

Authors:  B L McNaughton; J O'Keefe; C A Barnes
Journal:  J Neurosci Methods       Date:  1983-08       Impact factor: 2.390

10.  Explicit-duration hidden Markov model inference of UP-DOWN states from continuous signals.

Authors:  James M McFarland; Thomas T G Hahn; Mayank R Mehta
Journal:  PLoS One       Date:  2011-06-28       Impact factor: 3.240

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  3 in total

1.  Memories replayed: reactivating past successes and new dilemmas.

Authors:  Edwin M Robertson; Lisa Genzel
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-04-06       Impact factor: 6.237

2.  The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing.

Authors:  Yash S Vakilna; William C Tang; Bruce C Wheeler; Gregory J Brewer
Journal:  Front Neural Circuits       Date:  2021-08-27       Impact factor: 3.492

3.  Effect of Neonatal Treatment With the NMDA Receptor Antagonist, MK-801, During Different Temporal Windows of Postnatal Period in Adult Prefrontal Cortical and Hippocampal Function.

Authors:  Maria E Plataki; Konstantinos Diskos; Christos Sougklakos; Marouso Velissariou; Alexandros Georgilis; Vasiliki Stavroulaki; Kyriaki Sidiropoulou
Journal:  Front Behav Neurosci       Date:  2021-06-11       Impact factor: 3.558

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