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A Quantitative Model of Sleep-Wake Dynamics Based on the Physiology of the Brainstem Ascending Arousal SystemSchool of Physics, University of Sydney, New South Wales 2006, Australia, ajp{at}physics.usyd.edu.au, Brain Dynamics Center, Westmead Millenium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Westmead, New South Wales 2145, Australia
School of Physics, University of Sydney, New South Wales 2006, Australia, Brain Dynamics Center, Westmead Millenium Institute, Westmead Hospital and Western Clinical School, University of Sydney, Westmead, New South Wales 2145, Australia, Faculty of Medicine, University of Sydney, New South Wales 2006, Australia A quantitative, physiology-based model of the ascending arousal system is developed, using continuum neuronal population modeling, which involves averaging properties such as firing rates across neurons in each population. The model includes the ventrolateral preoptic area (VLPO), where circadian and homeostatic drives enter the system, the monoaminergic and cholinergic nuclei of the ascending arousal system, and their interconnections. The human sleep-wake cycle is governed by the activities of these nuclei, which modulate the behavioral state of the brain via diffuse neuromodulatory projections. The model parameters are not free since they correspond to physiological observables. Approximate parameter bounds are obtained by requiring consistency with physiological and behavioral measures, and the model replicates the human sleep-wake cycle, with physiologically reasonable voltages and firing rates. Mutual inhibition between the wake-promoting monoaminergic group and sleep-promoting VLPO causes ``flip-flop'' behavior, with most time spent in 2 stable steady states corresponding to wake and sleep, with transitions between them on a timescale of a few minutes. The model predicts hysteresis in the sleep-wake cycle, with a region of bistability of the wake and sleep states. Reducing the monoaminergic-VLPO mutual inhibition results in a smaller hysteresis loop. This makes the model more prone to wake-sleep transitions in both directions and makes the states less distinguishable, as in narcolepsy. The model behavior is robust across the constrained parameter ranges, but with sufficient flexibility to describe a wide range of observed phenomena.
Key Words: sleep • mathematical model • brainstem • diurnal cycle • narcolepsy • computational model
Journal of Biological Rhythms, Vol. 22, No. 2,
167-179 (2007) This article has been cited by other articles:
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