Literature DB >> 30137521

Beyond spindles: interactions between sleep spindles and boundary frequencies during cued reactivation of motor memory representations.

Samuel Laventure1,2, Basile Pinsard2,3,4, Ovidiu Lungu1,2,3, Julie Carrier1,2,5, Stuart Fogel6,7,8, Habib Benali9, Jean-Marc Lina5,10, Arnaud Boutin1,2,3, Julien Doyon1,2,3.   

Abstract

There is now ample evidence that sleep spindles play a critical role in the consolidation of newly acquired motor sequences. Previous studies have also revealed that the interplay between different types of sleep oscillations (e.g. spindles, slow waves, sharp-wave ripples) promotes the consolidation process of declarative memories. Yet the functional contribution of this type of frequency-specific interactions to motor memory consolidation remains unknown. Thus, this study sought to investigate whether spindle oscillations are associated with low- or high-frequency activity at the regional (local) and interregional (connectivity) levels. Using an olfactory-targeted memory reactivation paradigm paired to a motor sequence learning task, we compared the effect of cuing (Cond) to no-cuing (NoCond) on frequency interactions during sleep spindles. Time-frequency decomposition analyses revealed that cuing induced significant differential and localized changes in delta (1-4 Hz) and theta (4-8 Hz) frequencies before, during, and after spindles, as well as changes in high-beta (20-30 Hz) during the spindle oscillation. Finally, coherence analyses yielded significant increases in connectivity during sleep spindles in both theta and sigma (11-17 Hz) bands in the cued group only. These results support the notion that the synchrony between spindle and associated low- or high-frequency rhythmic activity is an integral part of the memory reactivation process. Furthermore, they highlight the importance of not only measuring spindles' characteristics, but to investigate such oscillations in both time and frequency domains when assessing memory consolidation-related changes.

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Year:  2018        PMID: 30137521      PMCID: PMC6132625          DOI: 10.1093/sleep/zsy142

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  73 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-07       Impact factor: 11.205

4.  Sleep spindles predict neural and behavioral changes in motor sequence consolidation.

Authors:  Marc Barakat; Julie Carrier; Karen Debas; Ovidiu Lungu; Stuart Fogel; Gilles Vandewalle; Richard D Hoge; Pierre Bellec; Avi Karni; Leslie G Ungerleider; Habib Benali; Julien Doyon
Journal:  Hum Brain Mapp       Date:  2012-06-05       Impact factor: 5.038

5.  Distinct basal ganglia territories are engaged in early and advanced motor sequence learning.

Authors:  Stéphane Lehéricy; Habib Benali; Pierre-François Van de Moortele; Mélanie Pélégrini-Issac; Tobias Waechter; Kamil Ugurbil; Julien Doyon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-17       Impact factor: 11.205

Review 6.  Contributions of the basal ganglia and functionally related brain structures to motor learning.

Authors:  Julien Doyon; Pierre Bellec; Rhonda Amsel; Virginia Penhune; Oury Monchi; Julie Carrier; Stéphane Lehéricy; Habib Benali
Journal:  Behav Brain Res       Date:  2008-11-17       Impact factor: 3.332

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Authors:  György Buzsáki
Journal:  Neuron       Date:  2010-11-04       Impact factor: 17.173

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Authors:  M Steriade
Journal:  Neuroscience       Date:  2005-12-15       Impact factor: 3.590

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Authors:  P Achermann; A A Borbély
Journal:  Neuroscience       Date:  1998-08       Impact factor: 3.590

Review 10.  The acquisition of skilled motor performance: fast and slow experience-driven changes in primary motor cortex.

Authors:  A Karni; G Meyer; C Rey-Hipolito; P Jezzard; M M Adams; R Turner; L G Ungerleider
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

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  6 in total

1.  The hippocampus is necessary for the consolidation of a task that does not require the hippocampus for initial learning.

Authors:  Anna C Schapiro; Allison G Reid; Alexandra Morgan; Dara S Manoach; Mieke Verfaellie; Robert Stickgold
Journal:  Hippocampus       Date:  2019-06-03       Impact factor: 3.899

2.  Optimal spindle detection parameters for predicting cognitive performance.

Authors:  Noor Adra; Haoqi Sun; Wolfgang Ganglberger; Elissa M Ye; Lisa W Dümmer; Ryan A Tesh; Mike Westmeijer; Madalena Da Silva Cardoso; Erin Kitchener; An Ouyang; Joel Salinas; Jonathan Rosand; Sydney S Cash; Robert J Thomas; M Brandon Westover
Journal:  Sleep       Date:  2022-04-11       Impact factor: 6.313

3.  Long term effects of cueing procedural memory reactivation during NREM sleep.

Authors:  Martyna Rakowska; Mahmoud E A Abdellahi; Paulina Bagrowska; Miguel Navarrete; Penelope A Lewis
Journal:  Neuroimage       Date:  2021-09-17       Impact factor: 6.556

4.  Sleep spindles mediate hippocampal-neocortical coupling during long-duration ripples.

Authors:  Hong-Viet Ngo; Juergen Fell; Bernhard Staresina
Journal:  Elife       Date:  2020-07-13       Impact factor: 8.140

5.  Electrophysiological signatures of memory reactivation in humans.

Authors:  Thomas Schreiner; Tobias Staudigl
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-04-06       Impact factor: 6.237

6.  Theta Phase-Coordinated Memory Reactivation Reoccurs in a Slow-Oscillatory Rhythm during NREM Sleep.

Authors:  Thomas Schreiner; Christian F Doeller; Ole Jensen; Björn Rasch; Tobias Staudigl
Journal:  Cell Rep       Date:  2018-10-09       Impact factor: 9.423

  6 in total

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