Neurobehavioral Effects of Partial Sleep Deprivation

部分睡眠剥夺对神经行为的影响

• 批准号: 7174804
• 负责人: DAVID F DINGES
• 金额: $ 63.37万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-30 至 2009-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7174804
• 关键词: Accounting; Address; Adult; Adverse effects; Affect; Age; Automobile Driving; Beds; C-reactive protein; Cardiovascular system; Chronic; Circadian Rhythms; Classification; Clinical; Closure; Condition; Continuous Positive Airway Pressure; Data; Disease regression; Dose; Electroencephalography; Endocrine; Eyelid structure; Fatigue; Female; Functional disorder; Gender; Goals; Heart Rate; Home environment; Homeostasis; Hour; Impairment; Inflammatory; Intervention; Knowledge; Laboratories; Maps; Measures; Medical; Metabolic; Modeling; Moods; Morbidity - disease rate; Napping; Nature; Neurocognitive; Neurocognitive Deficit; Numbers; Obstructive Sleep Apnea; Outcome; Pain; Performance; Pharmaceutical Preparations; Phase; Physiological; Physiology; Plasma; Principal Investigator; Process; Public Health; Publishing; REM Sleep; Randomized; Randomized Controlled Trials; Range; Recovery; Recovery of Function; Regression Analysis; Regulation; Relative (related person); Research; Research Personnel; Rest; Risk; Series; Sex Characteristics; Shapes; Simulate; Sleep; Sleep Deprivation; Sleep Disorders; Sleep Fragmentations; Sleeplessness; Slow-Wave Sleep; Social Conditions; Statistical Methods; Surface; Testing; Time; Variant; Week; Woman; Work; age effect; base; biobehavior; cognitive function; cohort; cysteine rich protein; day; experience; hypnotic; improved; indexing; male; mathematical model; men; neglect; neurobehavioral; non rapid eye movement; prevent; programs; response; sleep regulation; social; time use

DESCRIPTION (provided by applicant): This project is focused on determining how best to use sleep as an intervention to promote recovery from the biobehavioral risks posed by chronic sleep restriction. Chronic partial sleep loss due to medical conditions and social demands is common and associated with significant clinical morbidity. Our studies have shown that chronic restriction of sleep to between 4h and 6h per night results in neurobehavioral deficits that accumulate to levels equivalent to those produced by total sleep loss. We will undertake the first research to determine what aspects of sleep are critical for recuperation from the effects of chronic partial sleep loss. The issue of recovery of waking neurobehavioral and physiological functions will be addressed using an experimental approach that systematically determines the recovery potential of sleep in 180 healthy female (n=90) and male (n=90) subjects. Sleep duration will be varied parametrically on two consecutive nights, following 5 days of chronic sleep restriction. Key aspects of waking biobehavioral functions sensitive to sleep loss will be measured in subjects randomized to one of six sleep durations on recovery night 1 and one of six sleep durations on recovery night 2 (i.e., a total of 36 different combinations of sleep across the two nights). Statistically efficient response-surface modeling and dose-response regression approaches will be used for mapping recovery in neurocognitive, mood, and physiological outcomes as a function of sleep, using time in bed, total sleep time, and specific sleep physiological measures (e.g., REM sleep, slow wave energy in non- REM sleep) as independent variables. The resulting response-surface maps and dose-response curves will reveal the degree of recuperation of biobehavioral functions relative to varying amounts and types of sleep. These approaches also provide estimates of the variance attributable to gender differences, age effects, and differences in habitual sleep duration at home. The empirically estimated response-surface maps will be compared to predictions inferred from current biomathematical models of sleep-wake regulation, to assess how well these models predict recovery gained from sleep of different durations. In addition to providing the first dose-response curves for the relationship of sleep duration to recovery of waking functions, this project will explore the effects of varying sleep durations on cardiovascular markers in both women and men. The scientific data to be generated will advance theoretical understanding of sleep homeostasis; improve mathematical models of sleep-wake regulation; and inform questions of sleep need relative to public health.

描述（由申请人提供）：该项目的重点是确定如何最好地使用睡眠作为干预措施，以促进从慢性睡眠限制造成的生物行为风险中恢复。由于医疗条件和社会需求造成的慢性部分睡眠丧失很常见，并与显著的临床发病率相关。我们的研究表明，长期限制每晚睡眠4 - 6小时会导致神经行为缺陷，其累积水平相当于完全睡眠不足所产生的水平。我们将进行第一项研究，以确定睡眠的哪些方面对于从慢性部分睡眠缺失的影响中恢复至关重要。清醒的神经行为和生理功能的恢复的问题将使用实验方法，系统地确定180名健康女性（n=90）和男性（n=90）受试者的睡眠恢复潜力来解决。在连续5天的慢性睡眠限制之后，连续两个晚上的睡眠持续时间将参数化地变化。对睡眠丧失敏感的清醒生物行为功能的关键方面将在被随机分配到恢复夜1的六个睡眠持续时间之一和恢复夜2的六个睡眠持续时间之一的受试者中测量（即，两个晚上总共有36种不同的睡眠组合）。将使用统计学上有效的响应面建模和剂量响应回归方法，使用床上时间、总睡眠时间和特定的睡眠生理测量（例如，REM睡眠、非REM睡眠中的慢波能量）作为自变量。由此产生的反应表面图和剂量反应曲线将揭示生物行为功能相对于不同数量和类型的睡眠的恢复程度。这些方法还提供了归因于性别差异、年龄效应和在家习惯性睡眠持续时间差异的方差估计。将经验估计的响应面图与从睡眠-觉醒调节的当前生物数学模型推断的预测进行比较，以评估这些模型预测从不同持续时间的睡眠中获得的恢复的程度。除了提供睡眠时间与清醒功能恢复关系的第一个剂量反应曲线外，该项目还将探索不同睡眠时间对女性和男性心血管标志物的影响。所产生的科学数据将促进对睡眠稳态的理论理解;改善睡眠-觉醒调节的数学模型;并为与公共健康相关的睡眠需求问题提供信息。