Sun, Haeun;
Ishbulatov, Yurii;
Karavaev, Anatoly;
Zakharov, Denis;
Zaikin, Alexey;
(2025)
A thermodynamic model of the REM-NREM sleep cycle.
Chaos, Solitons & Fractals
, 190
, Article 115732. 10.1016/j.chaos.2024.115732.
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Abstract
Although many models explain the spontaneous alternation between two distinct sleep states, Rapid Eye Movement (REM) and Non-Rapid Eye Movement (NREM), new empirical evidence has accumulated regarding consistent temperature changes during sleep stage transitions in small animals. The temperature dependence of neuro-excitability and low-frequency (≤4 Hz) neuronal activity has also been investigated theoretically and experimentally. Based on these phenomena, we constructed a stochastic thermodynamic model of the ultradian sleep rhythm. The model was validated through simulation, demonstrating statistical properties that align with experimental data from rats. This model would provide new insights into the mechanisms behind the REM cycle and can be applied in new therapies for sleep disorders.
| Type: | Article |
|---|---|
| Title: | A thermodynamic model of the REM-NREM sleep cycle |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.chaos.2024.115732 |
| Publisher version: | https://doi.org/10.1016/j.chaos.2024.115732 |
| Language: | English |
| Additional information: | © 2024 The Authors. Published by Elsevier Ltd. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Thermodynamics, Neuronal noise, Stochastic model, Sleep stage, Slow wave activity, Biophysical model |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10203442 |
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