Individual differences in medial temporal lobe functional network architecture predict the capacity for sleep-related consolidation of emotional memories in older adults.

IF 4.9 2区医学 Q1 Medicine

Sleep Pub Date : 2025-09-09 DOI:10.1093/sleep/zsaf117

Miranda G Chappel-Farley, Jenna N Adams, Richard F Betzel, Negin S Sattari, Destiny E Berisha, Novelle J Meza, John T Janecek, Hamid Niknazar, Soyun Kim, Abhishek Dave, Ivy Y Chen, Kitty K Lui, Ariel B Neikrug, Ruth M Benca, Michael A Yassa, Bryce A Mander

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Abstract

Study objectives: Memory consolidation during non-rapid eye movement slow wave sleep (NREM SWS) involves reactivation of a hippocampal index which integrates distributed cortical representations of an experience. This study examined whether individual differences in brain network properties that align with this theoretical organization were associated with interindividual variability in memory consolidation during sleep.

Methods: Thirty-six older adults (μage = 72.9 ± 5.6) completed overnight polysomnography with pre- and post-sleep emotional memory testing. Slow oscillation (SO) power and SO-sleep spindle (SO-SP) coupling were computed. Participants also completed 3T structural and resting-state functional magnetic resonance imaging (rsfMRI). Resting-state fMRI network modularity (Q), hippocampal and amygdala eigenvector centrality (EC), and betweenness centrality (BC) were calculated.

Results: Greater Q was associated with reduced emotional memory retention and greater SWS. Hippocampal and amygdala EC were associated with better emotional memory retention. Hippocampal BC was associated with immediate test performance, whereas amygdala BC was associated with delayed test and memory retention. Hippocampal centrality measures were associated with SO power and SO-SP coupling. Random forest classification revealed distinct network measure combinations predict different stages of memory processing.

Conclusions: Network integration supports overnight emotional memory retention. Individuals with more influential medial temporal lobe nodes exhibited better memory consolidation, suggesting functional network architecture contributes to memory processing. These measures were associated with sleep oscillations implicated in consolidation. Individual differences in functional network organization may predict the capacity of older adults to consolidate memories.

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内侧颞叶功能网络结构的个体差异预测老年人睡眠相关的情绪记忆巩固能力。

研究目的：非快速眼动慢波睡眠（NREM SWS）期间的记忆巩固涉及海马指数的再激活，该指数整合了对经历的分布式皮层表征。这项研究考察了与这种理论组织相一致的大脑网络特性的个体差异是否与睡眠中记忆巩固的个体差异有关。方法：36例老年人（μage=72.9±5.6）完成夜间多导睡眠图及睡眠前后情绪记忆测试。计算慢振荡（SO）功率和慢振荡-睡眠主轴（SO- sp）耦合。参与者还完成了3T结构和静息状态功能磁共振成像（fMRI）。计算静息状态fMRI网络模块性(Q)、海马和杏仁核特征向量中心性（EC）和中间中心性（BC）。结果：大Q与情绪记忆保留减少和SWS增加有关。海马体和杏仁核EC与更好的情绪记忆保持有关。海马体BC与即时测试表现有关，而杏仁体BC与延迟测试和记忆保持有关。海马中心性测量与SO功率和SO- sp耦合有关。随机森林分类表明，不同的网络测量组合预测不同的记忆加工阶段。结论：网络整合支持隔夜情绪记忆保留。内侧颞叶节点影响较大的个体记忆巩固效果较好，表明功能性网络结构有助于记忆加工。这些测量与与巩固有关的睡眠振荡有关。功能网络组织的个体差异可以预测老年人巩固记忆的能力。

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

Sleep Medicine-Neurology (clinical)

CiteScore

8.70

自引率

10.70%

发文量

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