Individual Differences in Response to Sleep Deprivation

对睡眠不足反应的个体差异

• 批准号: 6798446
• 负责人: Hans P A Van Dongen
• 金额: $ 2.94万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2006-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6798446
• 关键词: behavior test; behavioral /social science research tag; body physical characteristic; circadian rhythms; clinical research; electroencephalography; functional ability; human population study; human subject; neuropsychological tests; neuropsychology; performance; polysomnography; psychology; sleep; sleep deprivation; statistics /biometry; wakefulness; young adult human (21-34)

DESCRIPTION (provided by applicant): The magnitude of neurobehavioral performance failure during sleep deprivation varies widely among individuals, and there are marked inter-individual differences in the structure of subsequent recovery sleep as well. Using a repeated total sleep deprivation (TSD) paradigm, the proposed project seeks to quantify the trait component of inter-individual differences in the response to sleep loss. In order to examine the malleability of the trait component, the magnitude of the trait component will also be compared with the magnitude of the response to a change in workload state. In addition, potential predictors of individual responses to sleep loss will be identified. A total of n=39 subjects will be exposed, on three consecutive occasions, to 36 hours of controlled TSD in a laboratory. Each 36-hour TSD will be followed by two 12-hour recovery sleep opportunities. Throughout the experiment, waking neurobehavioral performance will be monitored every two hours at fixed times by means of standardized behavioral tests, while baseline and recovery sleep will be studied with polysomnography (PSG) and electroencephalogram (EEG) power-spectral analysis. For each subject, two of the three TSD periods will involve moderate workload, while the other TSD period will have high (i.e. double-duration) workload, in randomized counterbalanced order. The investigation has five specific aims: (1) Quantify the magnitude and importance of inter-individual variability in neurobehavioral performance failure during TSD and the structure of subsequent recovery sleep; (2) Quantify the extent to which neurobehavioral performance failure during TSD involves a trait response and/or a state response to workload; (3) Quantify the extent to which the structure of recovery sleep following TSD involves a trait response and/or a state response to prior workload; (4) Explore the relationship between individuals' magnitude of neurobehavioral performance failure during TSD and the structure of their subsequent recovery sleep; and (5) Identify predictors of individuals' magnitude of neurobehavioral performance failure during TSD and the structure of their subsequent recovery sleep, by examining six predictor domains: baseline neurobehavioral performance, baseline sleep architecture, circadian rhythmicity, physical characteristics, psychological parameters, and demographic statistics. The results of this investigation will fill a critical gap in our understanding of inter-individual differences in the response to sleep loss, and the factors that determine these differences. The research will be relevant for the understanding, remediation and prevention of the potentially serious effects of sleep deprivation in the millions of individuals who are occasionally or routinely exposed to sleep loss due to medical condition, occupation or lifestyle.

描述（由申请人提供）：神经行为的程度 睡眠剥夺期间的表现失败因人而异， 并且在结构上存在显著的个体间差异， 恢复睡眠也是如此。使用反复的完全睡眠剥夺 (TSD)范例，拟议的项目旨在量化的特质组成部分， 个体间对睡眠不足反应的差异。为了检查 特质成分的延展性，特质成分的重要性 也将与对变化的响应幅度进行比较， 工作负载状态。此外，个体反应的潜在预测因素 睡眠缺失将被识别。共n=39例受试者将暴露于 连续三次，在实验室中进行36小时的受控TSD。 每个36小时的TSD之后将有两个12小时的恢复睡眠机会。 在整个实验过程中，将监测清醒时的神经行为表现。 每两小时在固定时间通过标准化行为测试，而 将使用多导睡眠图（PSG）研究基线和恢复睡眠， 脑电功率谱分析。对于每个主题， 三个技术支持开发周期将涉及中等工作量，而其他技术支持开发周期将涉及中等工作量 在随机化中，周期将具有高（即双倍持续时间）工作量 平衡的秩序。 调查有五个具体目标：（1）量化规模， 个体间差异在神经行为表现中重要性 TSD期间的失败和随后的恢复睡眠的结构;（2）量化 TSD期间神经行为表现失败的程度涉及 特质反应和/或对工作量的状态反应;（3）量化 TSD后的恢复睡眠结构涉及特质反应， 和/或对先前工作负载的状态响应;（4）探索 TSD期间个体神经行为表现失败的程度， 他们随后恢复睡眠的结构;（5）确定预测因素 TSD期间个体神经行为表现失败的程度， 通过检查六个预测因素， 领域：基线神经行为表现，基线睡眠结构， 昼夜节律，身体特征，心理参数，和 人口统计。这次调查的结果将填补一个关键的 我们对个体间差异的理解存在差距， 睡眠不足，以及决定这些差异的因素。这项研究将 与理解、补救和预防 睡眠剥夺对数百万人的潜在严重影响 他们偶尔或经常因医疗原因而睡眠不足， 条件、职业或生活方式。