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视运动适应调节睡眠纺锤波聚集成串的过程。

Visuomotor Adaptation Modulates the Clustering of Sleep Spindles Into Trains.

作者信息

Solano Agustín, Riquelme Luis A, Perez-Chada Daniel, Della-Maggiore Valeria

机构信息

IFIBIO Houssay, Department of Physiology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina.

Department of Internal Medicine, Pulmonary and Sleep Medicine Service, Austral University Hospital, Buenos Aires, Argentina.

出版信息

Front Neurosci. 2022 Mar 16;16:803387. doi: 10.3389/fnins.2022.803387. eCollection 2022.

DOI:10.3389/fnins.2022.803387
PMID:35368282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8966394/
Abstract

Sleep spindles are thought to promote memory consolidation. Recently, we have shown that visuomotor adaptation (VMA) learning increases the density of spindles and promotes the coupling between spindles and slow oscillations, locally, with the level of spindle-SO synchrony predicting overnight memory retention. Yet, growing evidence suggests that the rhythmicity in spindle occurrence may also influence the stabilization of declarative and procedural memories. Here, we examined if VMA learning promotes the temporal organization of sleep spindles into trains. We found that VMA increased the proportion of spindles and spindle-SO couplings in trains. In agreement with our previous work, this modulation was observed over the contralateral hemisphere to the trained hand, and predicted overnight memory retention. Interestingly, spindles grouped in a cluster showed greater amplitude and duration than isolated spindles. The fact that these features increased as a function of train length, provides evidence supporting a biological advantage of this temporal arrangement. Our work opens the possibility that the periodicity of NREM oscillations may be relevant in the stabilization of procedural memories.

摘要

睡眠纺锤波被认为有助于记忆巩固。最近,我们已经表明,视觉运动适应(VMA)学习会增加纺锤波的密度,并促进纺锤波与慢波振荡之间的耦合,局部而言,纺锤波与慢波振荡的同步水平可预测夜间记忆保持情况。然而,越来越多的证据表明,纺锤波出现的节律性也可能影响陈述性和程序性记忆的稳定。在此,我们研究了VMA学习是否促进睡眠纺锤波按序列进行时间组织。我们发现,VMA增加了序列中纺锤波和纺锤波与慢波振荡耦合的比例。与我们之前的研究一致,这种调节在训练手对侧的半球上观察到,并预测了夜间记忆保持情况。有趣的是,成簇分组的纺锤波比孤立的纺锤波具有更大的振幅和持续时间。这些特征随序列长度增加的事实,提供了支持这种时间排列具有生物学优势的证据。我们的工作开启了一种可能性,即非快速眼动睡眠振荡的周期性可能与程序性记忆的稳定有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/0665274ac863/fnins-16-803387-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/ea43bf5a8955/fnins-16-803387-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/18fcb835c73a/fnins-16-803387-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/0665274ac863/fnins-16-803387-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/ea43bf5a8955/fnins-16-803387-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/18fcb835c73a/fnins-16-803387-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6713/8966394/0665274ac863/fnins-16-803387-g003.jpg

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