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，并表现出一系列未被观察到的特征性电信号 在清醒的时期。这些特征信号被假定为睡眠中的基本事件。 大脑对信息的组织转化为记忆。本提案中描述的研究将利用 颅内深部电极数据，以进一步了解人类的记忆巩固。尽管 睡眠和记忆在我们的生活中扮演着重要的角色，但我们对记忆是如何运作的却知之甚少。 形成并维持。颅内数据的可用性为新的见解提供了难得的机会。的 本提案中描述的研究将确定本地心轴在存储器合并中所起的作用。 Spectrometry是脑电图中11-16 Hz振荡的瞬时爆发，其活动可能 作为精神健康状况和记忆相关病理和表现的独特生物标志物。 火花曾经被认为是相对均匀的电事件，全球分布在整个地球上。 新皮层这种理解是复杂的，最近的研究发现，当地的纺锤体局限于特定的大脑 地区局部纺锤波在记忆巩固中的作用仍然是一个谜。目标1将确定当地是否 纺锤体活动（像全局纺锤体活动）对与一个或多个纺锤体相关的新信息的获取是敏感的。 程序记忆任务睡眠中播放的与任务相关的声音可以重新激活相关的 并在醒来后改善对这些记忆的回忆。选择听觉线索的回放 在睡眠中，这是众所周知的偏见记忆的形成，将使我们能够磨练和检查神经 与这些特定时刻相关的动态。我们将研究本地纺锤体神经 提示呈现之后立即出现的动态与任务的改进有关。使用颅内 数据将使我们不仅能够检测局部纺锤波，还能将它们与大脑深层结构的活动联系起来， 海马体，被认为在睡眠介导的记忆巩固中起关键作用。目标2将 采用与目标1相同的程序，但使用陈述性记忆任务，要求受试者 回忆计算机屏幕上显示的各种物体的位置。我们的目标若能成功， 详细了解本地主轴动力学如何有助于陈述性和程序性记忆 巩固和通知更广泛的努力，以了解如何振荡活动在睡眠巩固 回忆这项工作也将支持识别有效的睡眠干预记忆 改善健康和疾病。