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.
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Changes in Psychomotor Vigilance Tests (PVT) Reaction Time During Peak Alertness Window following 44 hours of continuous wake
Timeframe: Task duration is 5 minutes. Task will occur hourly from 2130 on Day 15 to 0930 on Day 16.
Changes in Psychomotor Vigilance Tests (PVT) Reaction Time Phase 1 at home monitoring
Timeframe: Task duration is 5 minutes. Every 3 hours during Phase 1 (Days 2 - 13: at 0800, 1100, 1400, 1700, 2000, and 2300 hrs)
Changes in Psychomotor Vigilance Tests (PVT) Reaction Time Phase 2 sleep deprivation not including Peak Alertness Window
Timeframe: Task duration is 5 minutes. Every 3 hours Phase 2 Day 14 at 0930, 1230, 1530, 1830, 2130; Day 15 at 0000, 0330, 0630, 0930, 1230, 1530, 1830; Day 16 at 1230, 1530, 1830
Changes in Psychomotor Vigilance Tests (PVT) Reaction Time Phase 3 recovery
Timeframe: Task duration is 5 minutes. Every 3 hours Phase 3 Day 17 at 0930, 1230 and 1530.