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编码过程中的θ活动与非快速眼动睡眠振荡相互作用以预测记忆泛化。

Theta Activity During Encoding Interacts With NREM Sleep Oscillations to Predict Memory Generalization.

作者信息

Gibson Tamara, Cross Zachariah R, Chatburn Alex

机构信息

Cognitive Neuroscience Laboratory, Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, SA, Australia.

出版信息

Front Hum Neurosci. 2022 May 9;16:821191. doi: 10.3389/fnhum.2022.821191. eCollection 2022.

Abstract

Relatively little is known regarding the interaction between encoding-related neural activity and sleep-based memory consolidation. One suggestion is that a function of encoding-related theta power may be to "tag" memories for subsequent processing during sleep. This study aimed to extend previous work on the relationships between sleep spindles, slow oscillation-spindle coupling, and task-related theta activity with a combined Deese-Roediger-McDermott (DRM) and nap paradigm. This allowed us to examine the influence of task- and sleep-related oscillatory activity on the recognition of both encoded list words and associative theme words. Thirty-three participants (29 females, mean age = 23.2 years) learned and recognised DRM lists separated by either a 2 h wake or sleep period. Mixed-effects modelling revealed the sleep condition endorsed more associative theme words and fewer list words in comparison to the wake group. Encoding-related theta power was also found to influence sleep spindle density, and this interaction was predictive of memory outcomes. The influence of encoding-related theta was specific to sleep spindle density, and did not appear to influence the strength of slow oscillation-spindle coupling as it relates to memory outcomes. The finding of interactions between wakeful and sleep oscillatory-related activity in promoting memory and learning has important implications for theoretical models of sleep-based memory consolidation.

摘要

关于编码相关神经活动与基于睡眠的记忆巩固之间的相互作用,人们了解得相对较少。一种观点认为,与编码相关的θ波功率的一个功能可能是为后续睡眠期间的处理“标记”记忆。本研究旨在通过结合Deese-Roediger-McDermott(DRM)和午睡范式,扩展先前关于睡眠纺锤波、慢振荡-纺锤波耦合与任务相关θ活动之间关系的研究。这使我们能够研究任务相关和睡眠相关的振荡活动对编码列表单词和联想主题单词识别得影响。33名参与者(29名女性,平均年龄=23.2岁)学习并识别由2小时清醒或睡眠期隔开的DRM列表。混合效应模型显示,与清醒组相比,睡眠条件下认可的联想主题单词更多,列表单词更少。还发现与编码相关的θ波功率会影响睡眠纺锤波密度,这种相互作用可预测记忆结果。与编码相关的θ波的影响特定于睡眠纺锤波密度,似乎并未影响与记忆结果相关的慢振荡-纺锤波耦合的强度。清醒和睡眠振荡相关活动在促进记忆和学习方面的相互作用的发现,对基于睡眠的记忆巩固的理论模型具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/9125147/00338985bf72/fnhum-16-821191-g001.jpg

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