Influência da Dor no Ritmo Circadiano: uma Modelagem Baseada em Sistemas Multiagente
Resumo
O ritmo circadiano comanda as atividades inconscientes dos seres vivos através do relógio biológico. Influência externa, como a dor, causa disfunção na sincronização e dessincronização. Nesse contexto, é proposto, estudar as propriedades matemáticas e computacionais que descrevem o modelo do ritmo circadiano com base na dor. No modelo matemático são utilizados dois processos, um composto do ritmo circadiano e o outro do ritmo homeostático. A modelagem computacional, via sistema multiagente, definirá valores para a variável dor através da aplicação de um questionário não invasivo. Resultados preliminares mostram como a variável dor influência diretamente na qualidade do sono, bem como no desenvolvimento das atividades do cotidiano.Referências
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Amigoni, F. and Schiaffonati, V. (2007). Multiagent-based simulation in biology. In Model-based reasoning in science, technology, and medicine, pages 179–191. Springer.
Andreychenko, A., Magnin, M., and Inoue, K. (2016). Analyzing resilience properties in oscillatory biological systems using parametric model checking. Biosystems, 149:50–58.
Aviram, J., Shochat, T., and Pud, D. (2015). Pain perception in healthy young men is modified by time-of-day and is modality dependent. Pain Medicine, 16(6):1137–1144.
Baptista, T. and Costa, E. (2008). Evolution of a multi-agent system in a cyclical environment. Theory in Biosciences, 127(2):141–148.
Borbély, A. A. (1982). A two process model of sleep regulation. Hum neurobiol, 1(3):195–204.
Borbely, A. A. and Achermann, P. (2011). Sleep homeostasis and models of sleep regulation. Principles and Practice of Sleep Medicine, page 431–444.
Borbély, A. A., Daan, S., Wirz-Justice, A., and Deboer, T. (2016). The two-process model of sleep regulation: a reappraisal. Journal of sleep research, 25(2):131–143.
Borbély, A. A. and Achermann, P. (1999). Sleep homeostasis and models of sleep regulation. Journal of biological rhythms, 14(6):559–570.
Bruna, M. H. V. (2019). Relógios biológicos. [link]. [Online; accessed 19-February -2020].
Burish, M. J., Chen, Z., and Yoo, S.-H. (2019). Emerging relevance of circadian rhythms in headaches and neuropathic pain. Acta Physiologica, 225(1):e13161.
Chiacchio, F., Pennisi, M., Russo, G., Motta, S., and Pappalardo, F. (2014). Agent-based modeling of the immune system: Netlogo, a promising framework. BioMed research international, 2014.
Daan, S., Beersma, D., and Borbély, A. A. (1984). Timing of human sleep: recovery process gated by a circadian pacemaker. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 246(2):R161–R183.
Floroian, D., Floroian, L., and Moldoveanu, F. (2011). Multiagent system for monitoring chronic diseases. In International Conference on Advancements of Medicine and Health Care through Technology, pages 26–31. Springer.
Hatcher, K. M., Royston, S. E., and Mahoney, M. M. (2018). Modulation of circadian rhythms through estrogen receptor signaling. European Journal of Neuroscience.
Jankowski, K. (2013). Morning types are less sensitive to pain than evening types all day long. European Journal of Pain, 17(7):1068–1073.
Kefalas, P., Eleftherakis, G., and Stamatopoulou, I. (2005). Formal modelling of the dynamic behaviour of biology-inspired, agent-based systems. In Molecular Computational Models: Unconventional Approaches, pages 243–276. IGI Global.
Lopez-Jornet, P., Molino Pagan, D., Andujar Mateos, P., Rodriguez Agudo, C., and Pons-Fuster, A. (2015). Circadian rhythms variation of pain in burning mouth syndrome. Geriatrics & gerontology international, 15(4):490–495.
Montagna, S., Ricci, A., and Omicini, A. (2008). A&a for modelling and engineering simulations in systems biology. International Journal of Agent-Oriented Software Engineering, 2(2):222–245.
Nixon, G. M., Thompson, J. M., Han, D. Y., Becroft, D. M., Clark, P. M., Robinson, E., Waldie, K. E., Wild, C. J., Black, P. N., and Mitchell, E. A. (2008). Short sleep duration in middle childhood: risk factors and consequences. Sleep, 31(1):71.
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Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
Achermann, P., Dijk, D.-J., Brunner, D. P., and Borbély, A. A. (1993). A model of human sleep homeostasis based on eeg slow-wave activity: quantitative comparison of data and simulations. Brain research bulletin, 31(1-2):97–113.
Amigoni, F. and Schiaffonati, V. (2007). Multiagent-based simulation in biology. In Model-based reasoning in science, technology, and medicine, pages 179–191. Springer.
Andreychenko, A., Magnin, M., and Inoue, K. (2016). Analyzing resilience properties in oscillatory biological systems using parametric model checking. Biosystems, 149:50–58.
Aviram, J., Shochat, T., and Pud, D. (2015). Pain perception in healthy young men is modified by time-of-day and is modality dependent. Pain Medicine, 16(6):1137–1144.
Baptista, T. and Costa, E. (2008). Evolution of a multi-agent system in a cyclical environment. Theory in Biosciences, 127(2):141–148.
Borbély, A. A. (1982). A two process model of sleep regulation. Hum neurobiol, 1(3):195–204.
Borbely, A. A. and Achermann, P. (2011). Sleep homeostasis and models of sleep regulation. Principles and Practice of Sleep Medicine, page 431–444.
Borbély, A. A., Daan, S., Wirz-Justice, A., and Deboer, T. (2016). The two-process model of sleep regulation: a reappraisal. Journal of sleep research, 25(2):131–143.
Borbély, A. A. and Achermann, P. (1999). Sleep homeostasis and models of sleep regulation. Journal of biological rhythms, 14(6):559–570.
Bruna, M. H. V. (2019). Relógios biológicos. [link]. [Online; accessed 19-February -2020].
Burish, M. J., Chen, Z., and Yoo, S.-H. (2019). Emerging relevance of circadian rhythms in headaches and neuropathic pain. Acta Physiologica, 225(1):e13161.
Chiacchio, F., Pennisi, M., Russo, G., Motta, S., and Pappalardo, F. (2014). Agent-based modeling of the immune system: Netlogo, a promising framework. BioMed research international, 2014.
Daan, S., Beersma, D., and Borbély, A. A. (1984). Timing of human sleep: recovery process gated by a circadian pacemaker. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 246(2):R161–R183.
Floroian, D., Floroian, L., and Moldoveanu, F. (2011). Multiagent system for monitoring chronic diseases. In International Conference on Advancements of Medicine and Health Care through Technology, pages 26–31. Springer.
Hatcher, K. M., Royston, S. E., and Mahoney, M. M. (2018). Modulation of circadian rhythms through estrogen receptor signaling. European Journal of Neuroscience.
Jankowski, K. (2013). Morning types are less sensitive to pain than evening types all day long. European Journal of Pain, 17(7):1068–1073.
Kefalas, P., Eleftherakis, G., and Stamatopoulou, I. (2005). Formal modelling of the dynamic behaviour of biology-inspired, agent-based systems. In Molecular Computational Models: Unconventional Approaches, pages 243–276. IGI Global.
Lopez-Jornet, P., Molino Pagan, D., Andujar Mateos, P., Rodriguez Agudo, C., and Pons-Fuster, A. (2015). Circadian rhythms variation of pain in burning mouth syndrome. Geriatrics & gerontology international, 15(4):490–495.
Montagna, S., Ricci, A., and Omicini, A. (2008). A&a for modelling and engineering simulations in systems biology. International Journal of Agent-Oriented Software Engineering, 2(2):222–245.
Nixon, G. M., Thompson, J. M., Han, D. Y., Becroft, D. M., Clark, P. M., Robinson, E., Waldie, K. E., Wild, C. J., Black, P. N., and Mitchell, E. A. (2008). Short sleep duration in middle childhood: risk factors and consequences. Sleep, 31(1):71.
Skeldon, A. (2014). Are you listening to your body clock? [link]. [Online; accessed 25-March -2019].
Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
Publicado
07/07/2020
Como Citar
SANTOS, Angélica T.; MACHADO, Catia M.; ADAMATTI, Diana F..
Influência da Dor no Ritmo Circadiano: uma Modelagem Baseada em Sistemas Multiagente. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 14. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 268-273.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2020.33401.
