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睡眠微观结构组织记忆重演。

Sleep microstructure organizes memory replay.

作者信息

Chang Hongyu, Tang Wenbo, Wulf Annabella M, Nyasulu Thokozile, Wolf Madison E, Fernandez-Ruiz Antonio, Oliva Azahara

机构信息

Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.

出版信息

Nature. 2025 Jan;637(8048):1161-1169. doi: 10.1038/s41586-024-08340-w. Epub 2025 Jan 1.

Abstract

Recently acquired memories are reactivated in the hippocampus during sleep, an initial step for their consolidation. This process is concomitant with the hippocampal reactivation of previous memories, posing the problem of how to prevent interference between older and recent, initially labile, memory traces. Theoretical work has suggested that consolidating multiple memories while minimizing interference can be achieved by randomly interleaving their reactivation. An alternative is that a temporal microstructure of sleep can promote the reactivation of different types of memories during specific substates. Here, to test these two hypotheses, we developed a method to simultaneously record large hippocampal ensembles and monitor sleep dynamics through pupillometry in naturally sleeping mice. Oscillatory pupil fluctuations revealed a previously unknown microstructure of non-REM sleep-associated memory processes. We found that memory replay of recent experiences dominated in sharp-wave ripples during contracted pupil substates of non-REM sleep, whereas replay of previous memories preferentially occurred during dilated pupil substates. Selective closed-loop disruption of sharp-wave ripples during contracted pupil non-REM sleep impaired the recall of recent memories, whereas the same manipulation during dilated pupil substates had no behavioural effect. Stronger extrinsic excitatory inputs characterized the contracted pupil substate, whereas higher recruitment of local inhibition was prominent during dilated pupil substates. Thus, the microstructure of non-REM sleep organizes memory replay, with previous versus new memories being temporally segregated in different substates and supported by local and input-driven mechanisms, respectively. Our results suggest that the brain can multiplex distinct cognitive processes during sleep to facilitate continuous learning without interference.

摘要

近期获得的记忆在睡眠期间于海马体中重新激活,这是记忆巩固的第一步。这一过程与先前记忆的海马体重激活同时发生,从而引发了如何防止旧记忆与近期最初不稳定的记忆痕迹之间相互干扰的问题。理论研究表明,通过随机交错重新激活多个记忆,可以在最小化干扰的同时巩固这些记忆。另一种可能性是,睡眠的时间微观结构可以在特定子状态下促进不同类型记忆的重新激活。在此,为了验证这两个假设,我们开发了一种方法,用于在自然睡眠的小鼠中同时记录大型海马神经元群,并通过瞳孔测量法监测睡眠动态。振荡性瞳孔波动揭示了一种先前未知的与非快速眼动睡眠相关的记忆过程的微观结构。我们发现,在非快速眼动睡眠的瞳孔收缩子状态期间,近期经历的记忆重演在尖波涟漪中占主导地位,而先前记忆的重演则优先发生在瞳孔扩张子状态期间。在瞳孔收缩的非快速眼动睡眠期间对尖波涟漪进行选择性闭环干扰会损害近期记忆的回忆,而在瞳孔扩张子状态期间进行相同操作则没有行为影响。更强的外在兴奋性输入表征瞳孔收缩子状态,而在瞳孔扩张子状态期间局部抑制的更高募集更为突出。因此,非快速眼动睡眠的微观结构组织记忆重演,先前记忆与新记忆在不同子状态下在时间上被分隔开,并分别由局部机制和输入驱动机制支持。我们的结果表明,大脑可以在睡眠期间复用不同的认知过程,以促进持续学习而不产生干扰。

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