@article{ref1,
title="A Unified Model of Performance: Validation of its Predictions Across Different Sleep/Wake Schedules",
journal="Sleep",
year="2015",
author="Ramakrishnan, Sridhar and Wesensten, Nancy J. and Balkin, Thomas J. and Reifman, Jaques",
volume="39",
number="1",
pages="249-262",
abstract="STUDY OBJECTIVES: Historically, mathematical models of human neurobehavioral performance developed on data from one sleep study were limited to predicting performance in similar studies, restricting their practical utility. We recently developed a unified model of performance (UMP) to predict the effects of the continuum of sleep loss - from chronic sleep restriction (CSR) to total sleep deprivation (TSD) challenges - and validated it using data from two studies of one laboratory. Here, we significantly extended this effort by validating the UMP predictions across a wide range of sleep/wake schedules from different studies and laboratories. <br><br>METHODS: We developed the UMP on psychomotor vigilance task (PVT) lapse data from one study encompassing four different CSR conditions (7 d of 3, 5, 7, and 9 h of sleep/night), and predicted performance in five other studies (from four laboratories), including different combinations of TSD (40 to 88 h), CSR (2 to 6 h of sleep/night), control (8 to 10 h of sleep/night), and nap (nocturnal and diurnal) schedules. <br><br>RESULTS: The UMP accurately predicted PVT performance trends across 14 different sleep/wake conditions, yielding average prediction errors between 7% and 36%, with the predictions lying within 2 standard errors of the measured data 87% of the time. In addition, the UMP accurately predicted performance impairment (average error of 15%) for schedules (TSD and naps) not used in model development. <br><br>CONCLUSIONS: The UMP can be used as a tool to help design sleep/wake schedules to optimize the extent and duration of neurobehavioral performance and to accelerate recovery after sleep loss.<p /> <p>Language: en</p>",
language="en",
issn="0161-8105",
doi="",
url="http://dx.doi.org/"
}