P020 Exploring the Roles of Individual Rapid Eye Movement Sleep Parameters in Emotional Memory Processing

Z Zeng, M Schenker, A Jordan
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Abstract

Abstract Background Maladaptive emotional memory processing is thought to underpin intrusion symptoms experienced by individuals with post-traumatic stress disorder (PTSD). Curtailment of rapid eye movement sleep (REMS) impairs emotional memory consolidation (EMC) and is proposed to contribute to the development of PTSD. However, the effects of altered REMS quality remain less explored. The present study aims to investigate the potential ability of REM percentage, REM latency, and REMS fragmentation to predict EMC. Methods The study forms part of a larger study investigating the effects of suvorexant and temazepam on REMS and EMC. Healthy participants view a series of emotionally positive, negative and neutral images, undergo overnight polysomnography with a study drug or placebo, and are assessed for recognition 48 hours after viewing the images. REMS architecture metrics are derived from polysomnographic data. EMC is calculated based on signal detection theory (d′ = z(hit rate) − z(false alarm rate)). Results Data collection is ongoing with 11 participants’ data being collected. A one-way ANOVA reveals a main effect of valence, with positive and negative images being recognised better than the neutral (p(positive-neutral) = .039, p(negative-neutral) = .039). REMS parameters do not significantly predict EMC when accounting for image valence, possibly due to low statistical power. Discussion Given existing literature supporting the contribution of REMS on emotional memory processing, promoting high-quality REMS may help facilitate adaptive EMC. Further data is required to examine this effect.
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研究个体快速眼动睡眠参数在情绪记忆加工中的作用
摘要背景不适应的情绪记忆加工被认为是创伤后应激障碍(PTSD)患者所经历的入侵症状的基础。快速眼动睡眠(REMS)的缩短会损害情绪记忆巩固(EMC),并被认为与PTSD的发展有关。然而,改变REMS质量的影响仍然很少被探索。本研究旨在探讨快速眼动百分比、快速眼动潜伏期和快速眼动碎片化预测EMC的潜在能力。方法本研究是一项大型研究的一部分,目的是调查舒瑞芬和替马西泮对REMS和EMC的影响。健康的参与者观看一系列情绪积极、消极和中性的图像,在服用研究药物或安慰剂的情况下进行夜间多导睡眠检查,并在观看图像48小时后评估识别能力。REMS架构度量来源于多导睡眠图数据。电磁兼容性根据信号检测理论(d′= z(命中率)- z(虚警率))计算。数据收集正在进行中,共收集了11名参与者的数据。单向方差分析揭示了效价的主要影响,正面和负面图像比中性图像更容易被识别(p(正面-中性)= 0.039,p(负面-中性)= 0.039)。当考虑图像价时,REMS参数不能显著预测EMC,可能是由于统计功率低。鉴于已有文献支持REMS对情绪记忆加工的贡献,推广高质量的REMS可能有助于促进适应性电磁兼容。需要进一步的数据来检验这种影响。
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