Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation.

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dc.contributor.authorRamakrishnan, Sridhar
dc.contributor.authorLaxminarayan, Srinivas
dc.contributor.authorWesensten, Nancy J
dc.contributor.authorKamimori, Gary H
dc.contributor.authorBalkin, Thomas J
dc.contributor.authorReifman, Jaques
dc.date.accessioned2020-02-07T13:35:42Z
dc.date.available2020-02-07T13:35:42Z
dc.date.issued2014-08-05
dc.description.abstractCaffeine is the most widely consumed stimulant to counter sleep loss effects While the pharmacokinetics of caffeine in the body is well understood its alertness restoring effects are still not well characterized In fact mathematical models capable of predicting the effects of varying doses of caffeine on objective measures of vigilance are not available In this paper we describe a phenomenological model of the dose dependent effects of caffeine on psychomotor vigilance task PVT performance of sleep deprived subjects We used the two process model of sleep regulation to quantify performance during sleep loss in the absence of caffeine and a dose dependent multiplier factor derived from the Hill equation to model the effects of single and repeated caffeine doses We developed and validated the model fits and predictions on PVT lapse number of reaction times exceeding 500 ms data from two separate laboratory studies At the population average level the model captured the effects of a range of caffeine doses 50 300 mg yielding up to a 90 improvement over the two process model Individual specific caffeine models on average predicted the effects up to 23 better than population average caffeine models The proposed model serves as a useful tool for predicting the dose dependent effects of caffeine on the PVT performance of sleep deprived subjects and therefore can be used for determining caffeine doses that optimize the timing and duration of peak performance
dc.identifier.urihttp://dx.doi.org/10.1016/j.jtbi.2014.05.017
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/14994
dc.relation.uriJournal of theoretical biology
dc.titleDose-dependent model of caffeine effects on human vigilance during total sleep deprivation.en
dcterms.abstractCaffeine is the most widely consumed stimulant to counter sleep loss effects While the pharmacokinetics of caffeine in the body is well understood its alertness restoring effects are still not well characterized In fact mathematical models capable of predicting the effects of varying doses of caffeine on objective measures of vigilance are not available In this paper we describe a phenomenological model of the dose dependent effects of caffeine on psychomotor vigilance task PVT performance of sleep deprived subjects We used the two process model of sleep regulation to quantify performance during sleep loss in the absence of caffeine and a dose dependent multiplier factor derived from the Hill equation to model the effects of single and repeated caffeine doses We developed and validated the model fits and predictions on PVT lapse number of reaction times exceeding 500 ms data from two separate laboratory studies At the population average level the model captured the effects of a range of caffeine doses 50 300 mg yielding up to a 90 improvement over the two process model Individual specific caffeine models on average predicted the effects up to 23 better than population average caffeine models The proposed model serves as a useful tool for predicting the dose dependent effects of caffeine on the PVT performance of sleep deprived subjects and therefore can be used for determining caffeine doses that optimize the timing and duration of peak performance
dcterms.contributorRamakrishnan, Sridhar
dcterms.contributorLaxminarayan, Srinivas
dcterms.contributorWesensten, Nancy J
dcterms.contributorKamimori, Gary H
dcterms.contributorBalkin, Thomas J
dcterms.contributorReifman, Jaques
dcterms.identifierhttp://dx.doi.org/10.1016/j.jtbi.2014.05.017
dcterms.relationJournal of theoretical biology
dcterms.titleDose-dependent model of caffeine effects on human vigilance during total sleep deprivation.en
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