Neural Dynamics of Local Sleep Spindles and Their Role in Memory

局部睡眠纺锤体的神经动力学及其在记忆中的作用

• 批准号: 10289438
• 负责人: Sujith Vijayan
• 金额: $ 24.64万
• 依托单位: VIRGINIA POLYTECHNIC INST AND ST UNIV
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10289438
• 关键词: Acoustic Stimulation; Alzheimer' s Disease; Area; Auditory; Behavior; Biological Markers; Brain; Brain region; Cations; Characteristics; Computers; Cues; Data; Disease; Electrodes; Electroencephalogram; Event; Exhibits; Goals; Health; Hippocampus (Brain); Human; Impaired cognition; Intervention; Knowledge; Lead; Learning; Location; Magnetoencephalography; Measures; Mediating; Memory; Memory impairment; Mental Health; Modeling; Neocortex; Neurons; Pathology; Patients; Pattern; Performance; Play; Positioning Attribute; Prevalence; Procedures; Research; Resolution; Role; Scalp structure; Schizophrenia; Signal Transduction; Sleep; Sleep Disorders; Smell Perception; Structure; Techniques; Testing; Time; Work; autism spectrum disorder; awake; improved; information organization; insight; memory consolidation; non rapid eye movement; procedural memory; relating to nervous system; signal processing; sleep spindle; sound; spatiotemporal; success

Project Summary During sleep, our brains remain active and exhibit a range of characteristic electrical signals not observed during awake periods. These characteristic signals are assumed to be fundamental events in the sleeping brain’s organization of information into our memories. The research described in this proposal will utilize intracranial depth electrode data to further our understanding of memory consolidation in humans. Despite the fundamental role sleep and memory play in our lives, little is definitively known about how memories are formed and maintained. The availability of intracranial data presents a rare opportunity for fresh insight. The research described in this proposal will determine the role local spindles play in memory consolidation. Spindles are transient bursts of 11-16 Hz oscillations in the electroencephalogram, and their activity could serve as a unique biomarker for mental health conditions and memory-related pathology and performance. Spindles were once considered relatively uniform electrical events, globally distributed throughout the neocortex. This understanding is complicated by recent findings of local spindles restricted to specific brain regions. The role of local spindles in memory consolidation remains a mystery. Aim 1 will determine if local spindle activity (like global spindle activity) is sensitive to the acquisition of new information related to a procedural memory task. Task-related sounds played during sleep are known to reactivate the associated memories and lead to improved recall of those memories after awakening. The replay of select auditory cues during sleep, which is known to bias memory formation, will allow us to hone in on and examine the neural dynamics associated with those particular moments in time. We will examine how the local spindle neural dynamics that immediately follow cue presentation relate to improvement on the task. The use of intracranial data will allow us not only to detect local spindles, but also to relate them to activity in deep brain structures like the hippocampus, which is thought to play a critical role in sleep-mediated memory consolidation. Aim 2 will employ the same procedure as in Aim 1, but using a declarative memory task in which subjects are asked to recall the locations of various objects presented on a computer screen. Success in our aims will provide a detailed understanding of how local spindle dynamics contribute to both declarative and procedural memory consolidation and inform the broader effort to understand how oscillatory activity during sleep consolidates memories. This work will also support the identification of effective sleep interventions for memory improvement in health and disease.

项目摘要 在睡眠期间，我们的大脑保持活跃，并暴露了一系列未观察到的特征电信号 在清醒时期。这些特征信号被认为是睡眠中的基本事件 大脑的信息组织到我们的记忆中。该提案中描述的研究将利用 颅内深度电极数据，以进一步了解人类的记忆巩固。尽管有 基本的角色睡眠和记忆力在我们的生活中，对记忆的方式一无所知 形成和维护。颅内数据的可用性为新鲜见解提供了难得的机会。这 该提案中描述的研究将确定本地纺锤体在记忆巩固中的作用。 主轴是脑电图中11-16 Hz振荡的短暂爆发，它们的活性可能 作为心理健康状况以及与记忆有关的病理和表现的独特生物标志物。 纺锤体曾经被认为是相对均匀的电动事件，全球分布在整个整个 新皮层。最新的局部纺锤体限于特定大脑的发现使这种理解变得复杂 地区。本地纺锤体在内存整合中的作用仍然是一个谜。 AIM 1将确定是否本地 主轴活动（如全球主轴活动）对获取与A相关的新信息敏感 程序记忆任务。众所周知，睡眠期间播放的任务相关声音会重新激活相关的 回忆并导致觉醒后对这些记忆的回忆。选择听觉提示的重播 在睡眠期间，已知的记忆形成，将使我们能够磨练并检查中性 与那些特定时刻相关的动态。我们将研究本地主轴中性 立即遵循与改进任务相关的提示演示的动力学。颅内的使用 数据不仅可以检测到本地纺锤 海马，被认为在睡眠介导的记忆巩固中起着至关重要的作用。 AIM 2意志 采用与AIM 1相同的过程，但使用声明性记忆任务，要求受试者被要求 回想在计算机屏幕上显示的各种对象的位置。我们目标的成功将为 详细了解本地主轴动态如何有助于声明和程序记忆 合并并为了解睡眠过程中的振荡活动如何巩固而更广泛的努力。 回忆。这项工作还将支持确定有效的睡眠干预措施以记忆 改善健康和疾病。