记忆巩固
心理学
扁桃形结构
神经科学
非快速眼动睡眠
海马结构
功能磁共振成像
情景记忆
颞叶
听力学
海马体
认知
脑电图
医学
癫痫
作者
Miranda G Chappel-Farley,Jenna N. Adams,Richard F. Betzel,Negin Sattari,Destiny Berisha,Novelle Meza,John 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
出处
期刊:Sleep
[Oxford University Press]
日期:2025-05-30
标识
DOI:10.1093/sleep/zsaf117
摘要
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 slow oscillation-sleep spindle (SO-SP) coupling were computed. Participants also completed 3T structural and resting-state functional magnetic resonance imaging (fMRI). Resting-state fMRI network modularity (Q), and 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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