Individual Differences in Response to Sleep Deprivation

对睡眠不足反应的个体差异

• 批准号: 6463303
• 负责人: Hans P A Van Dongen
• 金额: $ 38.33万
• 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/6463303
• 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 睡眠不足期间的表现失败因人而异， 并且个体间结构存在显着差异 随后的恢复睡眠也是如此。反复完全剥夺睡眠 （TSD）范式，拟议的项目旨在量化特征组成部分 对睡眠不足的反应存在个体差异。为了检查 特质成分的可塑性，特质成分的大小 还将与对变化的响应幅度进行比较 工作负载状态。此外，个人反应的潜在预测因素 睡眠不足将被识别。总共 n=39 名受试者将被暴露， 连续三次，在实验室进行 36 小时的受控 TSD。 每 36 小时的 TSD 后都会有两次 12 小时的恢复性睡眠机会。 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进行一次标准化行为测试，同时 将通过多导睡眠图 (PSG) 研究基线和恢复睡眠 脑电图（EEG）功率谱分析。对于每个科目，两个 三个 TSD 时段将涉及中等工作量，而其他 TSD 时段将涉及中等工作量，而其他 TSD 时段将涉及中等工作量，而其他 TSD 期间将有高（即双倍持续时间）的工作量，随机 平衡秩序。 调查有五个具体目标：（1）量化规模和 个体间差异对神经行为表现的重要性 TSD 期间的失败以及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/或状态对工作量的反应； (3) 量化程度 TSD 后的恢复睡眠结构涉及特质反应 和/或国家对先前工作量的回应； (4)探讨两者之间的关系 TSD 期间个体神经行为表现失败的程度 他们随后的恢复睡眠的结构； (5) 确定预测变量 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来了解他们随后的恢复睡眠的结构 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，以及 人口统计。这项调查的结果将填补一个关键问题 我们对个体间反应差异的理解存在差距 睡眠不足，以及决定这些差异的因素。该研究将 与理解、补救和预防相关 睡眠不足对数百万人可能产生严重影响 由于医疗原因偶尔或经常出现睡眠不足的人 状况、职业或生活方式。