View clinical trials related to Sleep Deprivation.
Filter by:Sleep deprivation (SD) has a powerful degrading effect on cognitive performance, particularly psychomotor vigilance (PV) and reaction time. Caffeine is well known to be an effective countermeasure to the effects of SD. However, individuals differ in both their response to SD and to the administration of caffeine. This has made it difficult to provide individualized recommendations regarding the use of caffeine to sustain alertness when needed. For the past two decades, the Army's Biotechnology HPC Institute (BHSAI), in collaboration with the Walter Reed Army Institute of Research, have been developing statistical models to predict individual performance during prolonged SD. Recently, this resulted in the publication of the 2B-Alert app, a computer algorithm based on large datasets that can learn an individual's response to SD by combining actigraphic sleep data with simultaneously acquired PV performance data. The 2B-Alert algorithm can predict an individual's sleep need and performance after ~2 weeks of training the model. Recently, the model has been extended to incorporate individualized responses to caffeine. This was recently validated in a retrospective study published by BHSAI in 2019. The present study is designed to test the predictive capacity of the 2B-Alert app in real time. During Phase 1 a total of 21 healthy participants will wear an actigraph & complete multiple daily PV tests on a personal cell phone. After 2 weeks, these individuals will attend Phase 2 involving an in-laboratory stay & SD. Participants will have an 8-hour period of sleep in the laboratory, followed by 62 hours of continuous wakefulness. During these 62 hours, participants will complete PV and mood testing every 3 hours. The 2B-Alert app will be used to predict individual caffeine need to sustain performance at near-baseline levels based on the statistical model. At 44 hours SD, participants will undergo a 6-hour "alertness window" where they may receive individualized doses of caffeine based on the recommendations of the model. After 62 hours of SD, Phase 3 begins, involving a night of monitored recovery sleep and additional sessions of PV and mood testing until release from the study at 6 pm on the final day. It is hypothesized that the 2B-Alert app will be effective at providing caffeine dosing recommendations that return PV and mood performance to normal levels during the alertness window.
The purpose of this study is to look at how sleep disordered breathing (SDB) and not getting enough sleep each night contribute to daytime sleepiness. The investigators also want to determine the treatment that works best for improving daytime sleepiness. In this study, the investigators are comparing 2 programs that may improve symptoms of daytime sleepiness.
While the negative impact of sleep deprivation on cognitive processing and the partial reversal of this phenomenon by caffeine are well known, the types of cognitive processing previously studied have been limited to simple, straight-forward laboratory tasks. It is unclear how sleep deprivation and caffeine affect performance on operationally relevant complex cognitive tasks, like those encountered by working professionals such as doctors. This study aims to uncover how sleep deprivation and caffeine impact two types of clinical reasoning processes encountered by physicians on a daily basis. Previous work from members of our team investigated diagnostic reasoning in medical professionals and discovered that brain activation in executive processing areas was modulated by self-reported sleepiness and burnout and level of expertise (Durning, Costanzo, et al., 2013; Durning et al., 2014, 2015). The current study aims to expand upon those findings by also investigating a potentially more complex type of clinical reasoning, i.e. therapeutic reasoning, and directly manipulating sleep and caffeine use in a controlled sleep laboratory. Medical students, residents, and board-certified physicians will undergo thirty-seven hours of sleep deprivation and ten hours of sleep recovery in the sleep laboratory. During two FMRI scan sessions we will present high-quality validated multiple-choice questions on common patient situations in internal medicine to participants to explore brain activity during therapeutic reasoning compared with diagnostic reasoning. One FMRI scan will occur following a night of sleep deprivation, and another scan will occur following a night of recovery sleep. Additionally, half of the participants will receive caffeine gum during the sleep deprivation period, while the other half will receive placebo gum. This design will allow us to study the effect of sleep deprivation and caffeine on the neural correlates of diagnostic and therapeutic reasoning and performance in general.
Previous studies showed that insufficient sleep has a negative impact on children's physical and psychological health. Napping was found to decrease sleepiness and improve daytime functioning in adults and adolescents. The effects of napping on children, however, is unknown. The current study aims to test the effects of short daytime classroom naps on daytime functioning and behaviour in elementary school children.
The investigators proposed that pain, agitation, delirium and sleep deprivation protocol (PADS) will help improve the patients' outcomes (shortening ICU length of stay, improving ventilator free days, increasing delirium free days) in critically ill patients, a university hospital, Thailand.
This protocol will increase sleep duration in participants who maintain less than 6 hours sleep per night, to target the recommended 7 hours of sleep per night. The focus of this study is determine how increasing nightly sleep duration in these individuals who maintain less than 6 hours sleep per night changes their plasma metabolome and insulin sensitivity. The primary outcome will examine changes in branched-chain amino acids and the secondary outcome will examine changes in insulin sensitivity. The investigators will also determine if changes in plasma metabolites can be used as a biomarker to discriminate between adequate versus insufficient sleep.
This study is designed to assess neurobehavioral performance, as well as genetic and other physiological changes associated with variations in timing and quantity of sleep.
This within-subject experiment uses one night of acute sleep restriction (4h) vs normal sleep (8h) to study state-dependent changes in olfactory processing. Odor-evoked blood oxygen level dependent (BOLD) responses will be measured in olfactory brain regions using functional magnetic resonance imaging (fMRI). Food intake will be measured at a buffet.
The overall aim of Dr. Levenson's research proposal is to test the acceptability, feasibility, and preliminary outcomes of a sleep promotion program delivered to 13-15 year olds who report insufficient sleep. Dr. Levenson will examine the feasibility and acceptability of the program through a randomized pilot trial (n=40) that uses a two-period, wait-list control design. Then, Dr. Levenson will test whether the program is associated with changes in sleep, motivation, and four outcome domains: academic functioning, attention, risk behavior, and affect. Such a broadly relevant program has the potential for enormous public health impact by improving sleep and facilitating healthy development across a range of domains among typically-developing adolescents who are highly vulnerable to adverse consequences.
The aim of our study is the analysis of sleep phases and quality as well as the detection of respiratory pauses in subjects with cognitive disorder. To assess whether sleep quality is associated with the blood-brain barrier and Alzheimer's disease, which may be indicative of an early, non-invasively measurable change in brain activity in the early stages of Alzheimer's disease.