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Title:Modeling the seasonal adaptation of circadian clocks by changes in the network structure of the suprachiasmatic nucleus
Authors:ID Bodenstein, Christian (Author)
ID Gosak, Marko (Author)
ID Schuster, Stefan (Author)
ID Marhl, Marko (Author)
ID Perc, Matjaž (Author)
Files:.pdf PLoS_Computational_Biology_2012_Bodenstein_et_al._Modeling_the_Seasonal_Adaptation_of_Circadian_Clocks_by_Changes_in_the_Network_Structu.PDF (1005,71 KB)
MD5: 745124DB53A994A3A015A19E2498A853
URL http://dx.plos.org/10.1371/journal.pcbi.1002697
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:The dynamics of circadian rhythms needs to be adapted to day length changes between summer and winter. It has been observed experimentally, however, that the dynamics of individual neurons of the suprachiasmatic nucleus (SCN) does not change as the seasons change. Rather, the seasonal adaptation of the circadian clock is hypothesized to be a consequence of changes in the intercellular dynamics, which leads to a phase distribution of electrical activity of SCN neurons that is narrower in winter and broader during summer. Yet to understand this complex intercellular dynamics, a more thorough understanding of the impact of the network structure formed by the SCN neurons is needed. To that effect, we propose a mathematical model for the dynamics of the SCN neuronal architecture in which the structure of the network plays a pivotal role. Using our model we show that the fraction of long-range cell-to-cell connections and the seasonal changes in the daily rhythms may be tightly related. In particular, simulations of the proposed mathematical model indicate that the fraction of long-range connections between the cells adjusts the phase distribution and consequently the length of the behavioral activity as follows: dense long-range connections during winter lead to a narrow activity phase, while rare long-range connections during summer lead to a broad activity phase. Our model is also able to account for the experimental observations indicating a larger light-induced phase-shift of the circadian clock during winter, which we show to be a consequence of higher synchronization between neurons. Our model thus provides evidence that the variations in the seasonal dynamics of circadian clocks can in part also be understood and regulated by the plasticity of the SCN network structure.
Keywords:circadian rhythms, neuronal networks, small world, structures
Publication status in journal:Published
Article version:Publisher's version of article
Year of publishing:2012
Number of pages:str. 1-12
Numbering:Letn. 8, št. 9
PID:20.500.12556/DKUM-66250 New window
ISSN on article:1553-734X
COBISS.SI-ID:19375368 New window
DOI:10.1371/journal.pcbi.1002697 New window
Publication date in DKUM:16.06.2017
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Record is a part of a journal

Title:PLoS Computational Biology
Shortened title:PLoS Comput. Biol.
Publisher:Public Library of Science
COBISS.SI-ID:512883993 New window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:J1-4055
Name:Fizika evolucijskih procesov


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:16.06.2017

Secondary language

Keywords:cirkadiani ritmi, nevronske mreže, mali svet, strukture


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