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Dataset Information

A Unified Model of Performance for Predicting the Effects of Sleep and Caffeine.


ABSTRACT:

Study objectives

Existing mathematical models of neurobehavioral performance cannot predict the beneficial effects of caffeine across the spectrum of sleep loss conditions, limiting their practical utility. Here, we closed this research gap by integrating a model of caffeine effects with the recently validated unified model of performance (UMP) into a single, unified modeling framework. We then assessed the accuracy of this new UMP in predicting performance across multiple studies.

Methods

We hypothesized that the pharmacodynamics of caffeine vary similarly during both wakefulness and sleep, and that caffeine has a multiplicative effect on performance. Accordingly, to represent the effects of caffeine in the UMP, we multiplied a dose-dependent caffeine factor (which accounts

SUBMITTER: Ramakrishnan S 

PROVIDER: S-EPMC5020365 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature