Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics.

IF 3.6 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh, Seong-Whan Lee
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引用次数: 0

Abstract

Sleep is crucial for memory consolidation, underpinning effective learning. Targeted memory reactivation (TMR) can strengthen neural representations by re-engaging learning circuits during sleep. However, TMR protocols overlook individual differences in learning capacity and memory trace strength, limiting efficacy for difficult-to-recall memories. Here, we present a personalized TMR protocol that adjusts stimulation frequency based on individual retrieval performance and task difficulty during a word-pair memory task. In an experiment comparing personalized TMR, TMR, and control groups, the personalized protocol significantly reduced memory decay and improved error correction under challenging recall. Electroencephalogram (EEG) analyses revealed enhanced synchronization of slow waves and spindles, with a significant positive correlation between behavioral and EEG features for challenging memories. Multivariate classification identified distinct neural signatures linked to the personalized approach, highlighting its ability to target memory-specific circuits. These findings provide novel insights into sleep-dependent memory consolidation and support personalized TMR interventions to optimize learning outcomes.

个性化的目标记忆再激活通过慢波和纺锤波动力学增强了挑战性记忆的巩固。
睡眠对巩固记忆至关重要,是有效学习的基础。有针对性的记忆再激活(TMR)可以通过在睡眠中重新启动学习回路来加强神经表征。然而,TMR协议忽略了学习能力和记忆痕迹强度的个体差异,限制了对难以回忆的记忆的有效性。在这里,我们提出了一种个性化的TMR协议,该协议根据单词对记忆任务中的个人检索性能和任务难度来调整刺激频率。在一项比较个性化TMR、TMR和对照组的实验中,个性化方案显著减少了记忆衰退,并提高了挑战性回忆下的纠错能力。脑电图分析显示慢波和纺锤波同步增强,挑战性记忆的行为特征和脑电图特征显著正相关。多元分类识别出与个性化方法相关的不同神经特征,突出了其针对特定记忆回路的能力。这些发现为睡眠依赖性记忆巩固提供了新的见解,并支持个性化TMR干预来优化学习结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
29
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