2021
DOI: 10.1093/cercor/bhab360
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Motor Learning Promotes the Coupling between Fast Spindles and Slow Oscillations Locally over the Contralateral Motor Network

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 electro… Show more

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Cited by 16 publications
(29 citation statements)
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“…The experimental design of this study is fully described in a previous publication derived from the same dataset ( Solano et al, 2021 ). Briefly, we conducted a within-subject experiment consisting of three sessions separated by 7 days each: (i) a familiarization session, (ii) a visuomotor adaptation session (VMA) in which a visual rotation (ROT) was applied, and (iii) a control session (CTL) in which subjects performed unperturbed, null trials (N).…”
Section: Methodsmentioning
confidence: 99%
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“…The experimental design of this study is fully described in a previous publication derived from the same dataset ( Solano et al, 2021 ). Briefly, we conducted a within-subject experiment consisting of three sessions separated by 7 days each: (i) a familiarization session, (ii) a visuomotor adaptation session (VMA) in which a visual rotation (ROT) was applied, and (iii) a control session (CTL) in which subjects performed unperturbed, null trials (N).…”
Section: Methodsmentioning
confidence: 99%
“…To assess how these measures differed between VMA and CTL sessions we computed their relative difference according to the function ((VMA-CTL)/CTL*100) for each EEG channel and each subject ( Huber et al, 2004 , 2006 ; Solano et al, 2021 ). To illustrate the spatial distribution of the effects, we report the results in topographic maps (MNE-Python; Gramfort et al, 2013 ).…”
Section: Methodsmentioning
confidence: 99%
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