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Entrainment Dynamics Organised by Global Manifolds in a Circadian Pacemaker Model

Authors :
Jennifer L. Creaser
Casey O. Diekman
Kyle C. A. Wedgwood
Source :
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

Circadian rhythms are established by the entrainment of our intrinsic body clock to periodic forcing signals provided by the external environment, primarily variation in light intensity across the day/night cycle. Loss of entrainment can cause a multitude of physiological difficulties associated with misalignment of circadian rhythms, including insomnia, excessive daytime sleepiness, gastrointestinal disturbances, and general malaise. This can occur after travel to different time zones, known as jet lag; when changing shift work patterns; or if the period of an individual’s body clock is too far from the 24 h period of environmental cycles. We consider the loss of entrainment and the dynamics of re-entrainment in a two-dimensional variant of the Forger-Jewett-Kronauer model of the human circadian pacemaker forced by a 24 h light/dark cycle. We explore the loss of entrainment by continuing bifurcations of one-to-one entrained orbits under variation of forcing parameters and the intrinsic clock period. We show that the severity of the loss of entrainment is dependent on the type of bifurcation inducing the change of stability of the entrained orbit, which is in turn dependent on the environmental light intensity. We further show that for certain perturbations, the model predicts counter-intuitive rapid re-entrainment if the light intensity is sufficiently high. We explain this phenomenon via computation of invariant manifolds of fixed points of a 24 h stroboscopic map and show how the manifolds organise re-entrainment times following transitions between day and night shift work.

Details

Language :
English
ISSN :
22974687
Volume :
7
Database :
Directory of Open Access Journals
Journal :
Frontiers in Applied Mathematics and Statistics
Publication Type :
Academic Journal
Accession number :
edsdoj.144a0ad575714fa79b8b869c7d1b0db3
Document Type :
article
Full Text :
https://doi.org/10.3389/fams.2021.703359