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Stochastic simulation of the circadian rhythmicity in the SCN neuronal network

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  • Šimonka, Vito
  • Fras, Maja
  • Gosak, Marko

Abstract

The suprachiasmatic nucleus (SCN) of the hypothalamus is the mammalian circadian pacemaker that plays a dominant role in the generation and control of daily physiological and behavioral rhythms. The coupling of the SCN neuronal activity with the solar day–night cycle and the intercellular communication between SCN neurons are the most important factors that ensure the precise 24 h timing of the circadian rhythmicity. In individual cells, however, the timekeeping is not precise because of the inherent randomness in the biochemical reactions. In order to investigate the impact of molecular noise and intercellular connectivity on the circadian network synchronization, we develop a stochastic multicellular model of the SCN. The circadian pacemaker is modeled as a realistic small-world network of neurons and was found to be robust to rather high levels of intrinsic fluctuations. We show that the SCN neuronal network synchronizes well with the photic entraining even at very large levels of stochasticity, whereby intercellular coupling is the required agent that ensures coherent oscillations. Furthermore, we show that the neuronal activity patterns form localized clusters, which are more pronounced in short photoperiods than in long days. The localized synchronization behavior was also found to be affected by the SCN network structure.

Suggested Citation

  • Šimonka, Vito & Fras, Maja & Gosak, Marko, 2015. "Stochastic simulation of the circadian rhythmicity in the SCN neuronal network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 1-10.
    • Handle: RePEc:eee:phsmap:v:424:y:2015:i:c:p:1-10
    DOI: 10.1016/j.physa.2014.12.034
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    1. Masao Doi & Atsushi Ishida & Akiko Miyake & Miho Sato & Rie Komatsu & Fumiyoshi Yamazaki & Ikuo Kimura & Soken Tsuchiya & Hiroshi Kori & Kazuyuki Seo & Yoshiaki Yamaguchi & Masahiro Matsuo & Jean-Mich, 2011. "Circadian regulation of intracellular G-protein signalling mediates intercellular synchrony and rhythmicity in the suprachiasmatic nucleus," Nature Communications, Nature, vol. 2(1), pages 1-9, September.
    2. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    3. Albert Goldbeter, 2002. "Computational approaches to cellular rhythms," Nature, Nature, vol. 420(6912), pages 238-245, November.
    4. Naama Barkai & Stanislas Leibler, 2000. "Circadian clocks limited by noise," Nature, Nature, vol. 403(6767), pages 267-268, January.
    5. G. Bordyugov & A. Granada & H. Herzel, 2011. "How coupling determines the entrainment of circadian clocks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 82(3), pages 227-234, August.
    6. M. Gosak & M. Perc & S. Kralj, 2011. "Stochastic resonance in a locally excited system of bistable oscillators," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 80(4), pages 519-528, April.
    7. Henson, Michael A., 2013. "Multicellular models of intercellular synchronization in circadian neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 48-64.
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