Literature DB >> 34649283

Motor Learning Promotes the Coupling between Fast Spindles and Slow Oscillations Locally over the Contralateral Motor Network.

Agustín Solano1, Luis A Riquelme1, Daniel Perez-Chada2, Valeria Della-Maggiore1.   

Abstract

Recent studies from us and others suggest that traditionally declarative structures mediate some aspects of the encoding and consolidation of procedural memories. This evidence points to the existence of converging physiological pathways across memory systems. Here, we examined whether the coupling between slow oscillations (SO) and spindles, a mechanism well established in the consolidation of declarative memories, is relevant for the stabilization of human motor memories. To this aim, we conducted an electroencephalography study in which we quantified various parameters of these oscillations during a night of sleep that took place immediately after learning a visuomotor adaptation (VMA) task. We found that VMA increased the overall density of fast (≥12 Hz), but not slow (<12 Hz), spindles during nonrapid eye movement sleep, stage 3 (NREM3). This modulation occurred rather locally over the hemisphere contralateral to the trained hand. Although adaptation learning did not affect the density of SOs, it substantially enhanced the number of fast spindles locked to the active phase of SOs. The fact that only coupled spindles predicted overnight memory retention points to the relevance of this association in motor memory consolidation. Our work provides evidence in favor of a common mechanism at the basis of the stabilization of declarative and motor memories.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  human; motor learning; sleep; slow oscillation; spindle

Mesh:

Year:  2022        PMID: 34649283     DOI: 10.1093/cercor/bhab360

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  2 in total

1.  A Novel Approach to Estimating the Cortical Sources of Sleep Spindles Using Simultaneous EEG/MEG.

Authors:  Dimitrios Mylonas; Martin Sjøgård; Zhaoyue Shi; Bryan Baxter; Matti Hämäläinen; Dara S Manoach; Sheraz Khan
Journal:  Front Neurol       Date:  2022-06-16       Impact factor: 4.086

2.  Visuomotor Adaptation Modulates the Clustering of Sleep Spindles Into Trains.

Authors:  Agustín Solano; Luis A Riquelme; Daniel Perez-Chada; Valeria Della-Maggiore
Journal:  Front Neurosci       Date:  2022-03-16       Impact factor: 4.677

  2 in total

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