Non-equilibrium critical dynamics of bursts in theta and delta rhythms as fundamental characteristic of sleep and wake micro-architecture
Cellular and Molecular Physiology
Neuroscience and Neurobiology
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AbstractOrigin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate theta and delta wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in theta and delta rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (theta-bursts, active phase) and exponential-like (delta-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between theta- and delta-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics.
PLoS Comput Biol. 2019 Nov 14;15(11):e1007268. doi: 10.1371/journal.pcbi.1007268. eCollection 2019 Nov. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/41285
RightsCopyright: © 2019 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as Copyright: © 2019 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.