Modeling some properties of circadian rhythms

  • Received: 01 September 2012 Accepted: 29 June 2018 Published: 01 October 2013
  • MSC : Primary: 92B25, 34C15; Secondary: 68U20.

  • Mathematical models have been very useful in biological research. From theinteraction of biology and mathematics, new problems have emerged that havegenerated advances in the theory, suggested further experimental work andmotivated plausible conjectures. From our perspective, it is absolutelynecessary to incorporate modeling tools in the study of circadian rhythmsand that without a solid mathematical framework a real understanding of themwill not be possible. Our interest is to study the main process underlyingthe synchronization in the pacemaker of a circadian system: thesemechanisms should be conserved in all living beings. Indeed, from anevolutionary perspective, it seems reasonable to assume that either theyhave a common origin or that they emerge from similar selectioncircumstances. We propose a general framework to understand the emergence ofsynchronization as a robust characteristic of some cooperative systems ofnon-linear coupled oscillators. In a first approximation to the problem wevary the topology of the network and the strength of the interactions amongoscillators. In order to study the emergent dynamics, we carried out somenumerical computations. The results are consistent with experiments reportedin the literature. Finally, we proposed a theoretical framework to study thephenomenon of synchronization in the context of circadian rhythms: thedissipative synchronization of nonautonomous dynamical systems.

    Citation: Miguel Lara-Aparicio, Carolina Barriga-Montoya, Pablo Padilla-Longoria, Beatriz Fuentes-Pardo. Modeling some properties of circadian rhythms[J]. Mathematical Biosciences and Engineering, 2014, 11(2): 317-330. doi: 10.3934/mbe.2014.11.317

    Related Papers:

  • Mathematical models have been very useful in biological research. From theinteraction of biology and mathematics, new problems have emerged that havegenerated advances in the theory, suggested further experimental work andmotivated plausible conjectures. From our perspective, it is absolutelynecessary to incorporate modeling tools in the study of circadian rhythmsand that without a solid mathematical framework a real understanding of themwill not be possible. Our interest is to study the main process underlyingthe synchronization in the pacemaker of a circadian system: thesemechanisms should be conserved in all living beings. Indeed, from anevolutionary perspective, it seems reasonable to assume that either theyhave a common origin or that they emerge from similar selectioncircumstances. We propose a general framework to understand the emergence ofsynchronization as a robust characteristic of some cooperative systems ofnon-linear coupled oscillators. In a first approximation to the problem wevary the topology of the network and the strength of the interactions amongoscillators. In order to study the emergent dynamics, we carried out somenumerical computations. The results are consistent with experiments reportedin the literature. Finally, we proposed a theoretical framework to study thephenomenon of synchronization in the context of circadian rhythms: thedissipative synchronization of nonautonomous dynamical systems.


    加载中
    [1] Cerebral Cortex, 7 (1997), 237-252.
    [2] Biosystems, 71 (2003), 23-28.
    [3] Neural Computation, 6 (1994), 622-641.
    [4] Sci. Math. Japon., 70 (2009), 159-174.
    [5] Sci. Math. Japon., 58 (2003), 245-254.
    [6] J. Neurosci., 18 (1998), 2200-2211.
    [7] Biol. Cybern., 95 (2006), 1-19.
    [8] Biol. Cybern., 95 (2006), 97-112.
    [9] Ann. Stat., 35 (2007), 2691-2722.
    [10] Chapman & Hall/CRC, Boca Raton, 2001.
    [11] BMC Neuroscience, 10 (2009), P110.
    [12] BioSystems, 58 (2000), 19-26.
    [13] J. Math. Biol., 42 (2001), 1-25.
    [14] Stat. Prob. Lett., 78 (2008), 2248-2257.
    [15] in Cybernetics and Systems 2010 (ed. R. Trappl), Austrian Society for Cybernetic Studies, Vienna, 2010, 169-174.
    [16] J. Stat. Plann. Infer., 136 (2006), 1638-1654.
    [17] Sci. Math. Japon., 67 (2008), 125-135.
    [18] in Cybernetics and Systems 2004 (ed. R. Trappl), Austrian Society for Cybernetic Studies, Vienna, 2004, 205-210.
    [19] Biophy. J., 4 (1964), 41-68.
    [20] J. Neurosci. Meth., 171 (2008), 288-295.
    [21] J. Comput. Neurosci., 3 (1996), 275-299.
    [22] J. Acoust. Soc. Am., 74 (1983), 493-501.
    [23] Neural Comput., 13 (2001), 1713-1720.
    [24] PLoS ONE, 2 (2007), e439.
    [25] J. Acoust. Soc. Am., 77 (1985), 1452-1464.
    [26] Neural Comput., 20 (2008), 2696-2714.
    [27] Notes taken by Charles E. Smith, Lecture Notes in Biomathematics, Vol. 14, Springer-Verlag, Berlin-New York, 1977.
    [28] in Imagination and Rigor. Essays on Eduardo R. Caianiello's Scientific Heritage (ed. S. Termini), Springer-Verlag Italia, 2006, 133-145.
    [29] in Structure: from Physics to General Systems - Festschrift Volume in Honour of E.R. Caianiello on his Seventieth Birthday (eds. M. Marinaro and G. Scarpetta), World Scientific, Singapore, 1992, 78-94.
    [30] Math. Japon., 50 (1999), 247-322.
    [31] The Journal of Neuroscience, 13 (1993), 334-350.
    [32] Biophys. J., 5 (1965), 173-194.
    [33] J. Stat. Phys., 78 (1995), 917-935.
    [34] Phys. Rev. E (3), 59 (1999), 956-969.
  • Reader Comments
  • © 2014 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2006) PDF downloads(447) Cited by(9)

Article outline

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog