Abstract
In this paper, an adaptive temporal-causal network model is presented for a normal night’s sleep and for how disturbances and their timing interfere with such a normal night of sleep. The goal of this computational model is to explore the area of how sleep disturbances influence a person’s health. This was achieved by simulating single and multiple sleep disturbances during sleep episodes and measuring the effect on light, deep, and REM sleep. The main finding from the simulated scenarios in this study is that disturbances, depending on their timing, can cause a lack of deep and/or REM sleep. This implies that sleep disturbances might lead to insufficient physical and/or emotional recovery.
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References
Centre for Disease Control and prevention retrieved, 4 January 2023. https://www.cdc.gov/media/releases/2016/p0215-enough-sleep.html
Chien, K.L., et al.: Habitual sleep duration and insomnia and the risk of cardiovascular events and all-cause death: report from a community-based cohort. Sleep 33(2), 177–184 (2010)
Colten, H.R., Altevogt, B.M.: Sleep Physiology. Nih.gov; National Academies Press (US) (2015). https://www.ncbi.nlm.nih.gov/books/NBK19956/
Della Monica, C., Johnsen, S., Atzori, G., Groeger, J.A., Dijk, D.J.: Rapid eye movement sleep, sleep continuity and slow wave sleep as predictors of cognition, mood, and subjective sleep quality in healthy men and women, aged 20–84 years. Front. Psych. 9, 255 (2018). https://doi.org/10.3389/fpsyt.2018.00255
Gandhi, M.H., Emmady, P.D.: Physiology, K Complex. In: StatPearls. StatPearls Publishing (2022)
Georgiev, I.: Neurophysiological control of sleep with special emphasis on melatonin. Trakia J. Sci. 18, 355–376 (2020). https://doi.org/10.15547/tjs.2020.04.011
Grandner, M.A.: Sleep, health, and society. Sleep Med. Clin. 12(1), 1–22 (2017). https://doi.org/10.1016/j.jsmc.2016.10.012
Hanson, J.A., Huecker, M.R. Sleep deprivation. In: StatPearls. StatPearls Publishing (2022)
Hirshkowitz, M., et al.: National sleep foundation’s sleep time duration recommendations: methodology and results summary. Sleep Health 1(1), 40–43 (2015). https://doi.org/10.1016/j.sleh.2014.12.010
Irwin, M.R.: Why sleep is important for health: a psychoneuroimmunology perspective. Annu. Rev. Psychol. 66, 143–172 (2015). https://doi.org/10.1146/annurev-psych-010213-115205
Jackowska, M., Dockray, S., Hendrickx, H., Steptoe, A.: Psychosocial factors and sleep efficiency: discrepancies between subjective and objective evaluations of sleep. Psychosom. Med. 73(9), 810–816 (2011)
Jennings, J.R., Muldoon, M.F., Hall, M., Buysse, D.J., Manuck, S.B.: Self-reported sleep quality is associated with the metabolic syndrome. Sleep 30(2), 219–223 (2007)
Ko, Y.J., et al.: High-sensitivity C-reactive protein levels and cancer mortality. Cancer Epidemiol. Biomarkers Prevent. Public. Am. Assoc. Cancer Res. Cosponsored Am. Soc. Prevent. Oncol. 21(11), 2076–2086 (2012). https://doi.org/10.1158/1055-9965.EPI-12-0611
Landry, G.J., Best, J.R., Liu-Ambrose, T.: Measuring sleep quality in older adults: a comparison using subjective and objective methods. Front. Aging Neurosci. 7, 166 (2015). https://doi.org/10.3389/fnagi.2015.00166
Martins, A.J., Isherwood, C.M., Vasconcelos, S.P., Lowden, A., Skene, D.J., Moreno, C.R.C.: The effect of urbanization on sleep, sleep/wake routine, and metabolic health of residents in the Amazon region of Brazil. Chronobiol. Int. 37(9–10), 1335–1343 (2020). https://doi.org/10.1080/07420528.2020.1802287
Moldofsky, H., Scarisbrick, P.: Induction of neurasthenic musculoskeletal pain syndrome by selective sleep stage deprivation. Psychosom. Med. 38(1), 35–44 (1976)
Patel, A.K., Araujo, J.F.: Physiology, Sleep Stages. Nih.gov;StatPearls Publishing, 27 October 2018. https://www.ncbi.nlm.nih.gov/books/NBK526132/
Patel, A.K., Reddy, V., Araujo, J.F.: Physiology, sleep stages. In: StatPearls [Internet]. StatPearls Publishing (2022). https://www.ncbi.nlm.nih.gov/books/NBK526132/
Rae, D.E., et al.: One night of partial sleep deprivation impairs recovery from a single exercise training session. Eur. J. Appl. Physiol. 117(4), 699–712 (2017). https://doi.org/10.1007/s00421-017-3565-5
Saghir, Z., Syeda, J.N., Muhammad, A.S., Balla Abdalla, T.H.: The amygdala, sleep debt, sleep deprivation, and the emotion of anger: a possible connection?. Cureus 10(7), e2912 (2018). https://doi.org/10.7759/cureus.2912
Tahmasian, M., et al.: Differentiation chronic post traumatic stress disorder patients from healthy subjects using objective and subjective sleep-related parameters. Neurosci. Lett. 650, 174–179 (2017). https://doi.org/10.1016/j.neulet.2017.04.042
Treur, J.: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Springer Nature, Cham (2020). https://doi.org/10.1007/978-3-030-31445-3
Treur, J.: On the dynamics and adaptivity of mental processes: relating adaptive dynamical systems and self-modeling network models by mathematical analysis. Cogn. Syst. Res. 70, 93–100 (2021)
Vandekerckhove, M., Wang, Y.L.: Emotion, emotion regulation and sleep: an intimate relationship. AIMS Neurosci. 5(1), 1–17 (2017). https://doi.org/10.3934/Neuroscience.2018.1.1
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Hee, Q.L., Hogendorp, L., Warnaars, D., Treur, J. (2023). The Effect of Sleep Disturbances on the Quality of Sleep: An Adaptive Computational Network Model. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-031-35308-6_9
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