» Articles » PMID: 19543382

Taking the Lag out of Jet Lag Through Model-based Schedule Design

Overview
Specialty Biology
Date 2009 Jun 23
PMID 19543382
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Travel across multiple time zones results in desynchronization of environmental time cues and the sleep-wake schedule from their normal phase relationships with the endogenous circadian system. Circadian misalignment can result in poor neurobehavioral performance, decreased sleep efficiency, and inappropriately timed physiological signals including gastrointestinal activity and hormone release. Frequent and repeated transmeridian travel is associated with long-term cognitive deficits, and rodents experimentally exposed to repeated schedule shifts have increased death rates. One approach to reduce the short-term circadian, sleep-wake, and performance problems is to use mathematical models of the circadian pacemaker to design countermeasures that rapidly shift the circadian pacemaker to align with the new schedule. In this paper, the use of mathematical models to design sleep-wake and countermeasure schedules for improved performance is demonstrated. We present an approach to designing interventions that combines an algorithm for optimal placement of countermeasures with a novel mode of schedule representation. With these methods, rapid circadian resynchrony and the resulting improvement in neurobehavioral performance can be quickly achieved even after moderate to large shifts in the sleep-wake schedule. The key schedule design inputs are endogenous circadian period length, desired sleep-wake schedule, length of intervention, background light level, and countermeasure strength. The new schedule representation facilitates schedule design, simulation studies, and experiment design and significantly decreases the amount of time to design an appropriate intervention. The method presented in this paper has direct implications for designing jet lag, shift-work, and non-24-hour schedules, including scheduling for extreme environments, such as in space, undersea, or in polar regions.

Citing Articles

Predicting neurobehavioral performance of resident physicians in a Randomized Order Safety Trial Evaluating Resident-Physician Schedules (ROSTERS).

Phillips A, St Hilaire M, Barger L, OBrien C, Rahman S, Landrigan C Sleep Health. 2023; 10(1S):S25-S33.

PMID: 38007304 PMC: 11031327. DOI: 10.1016/j.sleh.2023.10.018.


Optimal adjustment of the human circadian clock in the real world.

Christensen S, Huang Y, Walch O, Forger D PLoS Comput Biol. 2020; 16(12):e1008445.

PMID: 33370265 PMC: 7808694. DOI: 10.1371/journal.pcbi.1008445.


Changes in performance and bio-mathematical model performance predictions during 45 days of sleep restriction in a simulated space mission.

Flynn-Evans E, Kirkley C, Young M, Bathurst N, Gregory K, Vogelpohl V Sci Rep. 2020; 10(1):15594.

PMID: 32973159 PMC: 7515915. DOI: 10.1038/s41598-020-71929-4.


Evaluation of an automated pipeline for large-scale EEG spectral analysis: the National Sleep Research Resource.

Mariani S, Tarokh L, Djonlagic I, Cade B, Morrical M, Yaffe K Sleep Med. 2018; 47:126-136.

PMID: 29803181 PMC: 5976521. DOI: 10.1016/j.sleep.2017.11.1128.


Evolution of extrema features reveals optimal stimuli for biological state transitions.

Chang J, Paydarfar D Sci Rep. 2018; 8(1):3403.

PMID: 29467377 PMC: 5821862. DOI: 10.1038/s41598-018-21761-8.


References
1.
Jewett M, Kronauer R . Interactive mathematical models of subjective alertness and cognitive throughput in humans. J Biol Rhythms. 2000; 14(6):588-97. DOI: 10.1177/074873099129000920. View

2.
Dean 2nd D, Fletcher A, Hursh S, Klerman E . Developing mathematical models of neurobehavioral performance for the "real world". J Biol Rhythms. 2007; 22(3):246-58. DOI: 10.1177/0748730407301376. View

3.
Zeitzer J, Dijk D, Kronauer R, Brown E, Czeisler C . Sensitivity of the human circadian pacemaker to nocturnal light: melatonin phase resetting and suppression. J Physiol. 2000; 526 Pt 3:695-702. PMC: 2270041. DOI: 10.1111/j.1469-7793.2000.00695.x. View

4.
Cajochen C, Zeitzer J, Czeisler C, Dijk D . Dose-response relationship for light intensity and ocular and electroencephalographic correlates of human alertness. Behav Brain Res. 2000; 115(1):75-83. DOI: 10.1016/s0166-4328(00)00236-9. View

5.
Wright Jr K, Hull J, Czeisler C . Relationship between alertness, performance, and body temperature in humans. Am J Physiol Regul Integr Comp Physiol. 2002; 283(6):R1370-7. DOI: 10.1152/ajpregu.00205.2002. View