Individual Differences in Response to Sleep Deprivation

对睡眠不足反应的个体差异

• 批准号: 6858785
• 负责人: Hans P A Van Dongen
• 金额: $ 9.02万
• 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 2005-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6858785
• 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); 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）：神经行为的大小 在个体中，睡眠剥夺期间的表现失败差异很大， 并且在结构上存在明显的个体间差异 随后的恢复睡眠。使用反复的全部睡眠剥夺 （TSD）范式，拟议的项目旨在量化 对睡眠损失反应的个体间差异。为了检查 性状成分的锻造性，特质成分的幅度 还将与对变化的响应的大小进行比较 工作负载状态。此外，个人反应的潜在预测因素 将确定睡眠损失。总共将暴露39名受试者 连续三个场合，到实验室中的36小时受控TSD。 每个36小时的TSD将有两个12小时的恢复睡眠机会。 在整个实验中，将监测醒来的神经行为性能 每两个小时在固定时间通过标准化的行为测试，而 基线和恢复睡眠将使用多摄影学（PSG）和 脑电图（EEG）功率 - 光谱分析。对于每个主题，两个 三个TSD期间将涉及适度的工作量，而其他TSD 周期将具有较高的（即双重武器）工作量，以随机分配 平衡订单。 调查具有五个具体目的：（1）量化大小和 个体间变异性在神经行为性能中的重要性 TSD期间的失败和随后恢复睡眠的结构； （2）量化 TSD期间的神经行为性能失败的程度涉及 特质响应和/或对工作负载的状态响应； （3）量化的程度 TSD后的恢复睡眠结构涉及性状响应 和/或对事先工作负载的状态响应； （4）探索 个体在TSD期间的神经行为性能失败的大小 他们随后恢复睡眠的结构； （5）确定预测因子 在TSD期间，个体的神经行为性能失败的大小 通过检查六个预测因子，他们随后的恢复睡眠的结构 域：基线神经行为性能，基线睡眠体系结构， 昼夜节律，身体特征，心理参数和 人口统计统计。这项调查的结果将充满关键 我们对对反应的个体间差异的理解差距 睡眠损失以及决定这些差异的因素。研究将 与理解，补救和预防相关 数百万个人对睡眠剥夺的潜在严重影响 谁偶尔或经常因医疗而受到睡眠损失 状况，职业或生活方式。