Chappel-Farley Miranda G, Adams Jenna N, Betzel Richard F, Janecek John C, Sattari Negin S, Berisha Destiny E, Meza Novelle J, Niknazar Hamid, Kim Soyun, Dave Abhishek, Chen Ivy Y, Lui Kitty K, Neikrug Ariel B, Benca Ruth M, Yassa Michael A, Mander Bryce A
Department of Neurobiology and Behavior, University of California Irvine, Irvine CA, 92697, USA.
Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine CA, 92697, USA.
bioRxiv. 2023 Nov 1:2023.10.27.564260. doi: 10.1101/2023.10.27.564260.
Memory consolidation occurs via reactivation of a hippocampal index during non-rapid eye movement slow-wave sleep (NREM SWS) which binds attributes of an experience existing within cortical modules. For memories containing emotional content, hippocampal-amygdala dynamics facilitate consolidation over a sleep bout. This study tested if modularity and centrality-graph theoretical measures that index the level of segregation/integration in a system and the relative import of its nodes-map onto central tenets of memory consolidation theory and sleep-related processing. Findings indicate that greater network integration is tied to overnight emotional memory retention via NREM SWS expression. Greater hippocampal and amygdala influence over network organization supports emotional memory retention, and hippocampal or amygdala control over information flow are differentially associated with distinct stages of memory processing. These centrality measures are also tied to the local expression and coupling of key sleep oscillations tied to sleep-dependent memory consolidation. These findings suggest that measures of intrinsic network connectivity may predict the capacity of brain functional networks to acquire, consolidate, and retrieve emotional memories.
记忆巩固通过在非快速眼动慢波睡眠（NREM SWS）期间海马索引的重新激活而发生，这将皮质模块中存在的经历属性联系起来。对于包含情感内容的记忆，海马-杏仁核动态变化有助于在一个睡眠周期内进行巩固。本研究测试了模块化和中心性——图论指标（用于索引系统中的分离/整合水平及其节点的相对重要性）是否与记忆巩固理论和睡眠相关处理的核心原则相符。研究结果表明，更高的网络整合通过NREM SWS的表达与夜间情感记忆保持相关。海马和杏仁核对网络组织的更大影响支持情感记忆保持，并且海马或杏仁核对信息流的控制与记忆处理的不同阶段有不同的关联。这些中心性指标也与与睡眠依赖性记忆巩固相关的关键睡眠振荡的局部表达和耦合有关。这些发现表明，内在网络连通性的指标可能预测大脑功能网络获取、巩固和检索情感记忆的能力。
