APS March Meeting 2016
Volume 61, Number 2
Monday–Friday, March 14–18, 2016;
Baltimore, Maryland
Session R43: Nonlinear Dynamics in Networks I
8:00 AM–10:48 AM,
Thursday, March 17, 2016
Room: 346
Sponsoring
Unit:
GSNP
Chair: Adilson Motter, Northwestern University
Abstract ID: BAPS.2016.MAR.R43.1
Abstract: R43.00001 : Collective Dynamics of Oscillator Networks: Why do we suffer from heavy jet lag?
8:00 AM–8:36 AM
Preview Abstract
Abstract
Author:
Hiroshi Kori
(Ochanomizu University)
The circadian rhythm of the entire body in mammals is orchestrated by a
small tissue in the brain called the suprachiamatic nucleus (SCN). The SCN
consists of a population of neurons, each of which exhibit circadian (i.e.,
approximately 24 h) gene expression. Neurons form a complex network and
interact with each other using various types of neurotransmitters. The
rhythmic gene expressions of individual cells in the SCN synchronize through
such interaction.
Jet-lag symptoms arise from temporal mismatch between the internal circadian
clock orchestrated by the SCN and external solar time. It may take about one
week or even longer to recover from jet lag after a long-distance trip. We
recently found that recovery from jet lag is considerably accelerated in the
knocked-out (KO) mice lacking the receptors of a certain neurotransmitter in
the SCN [1]. Importantly, all other properties of mice including sleep-awake
rhythms and breeding seem to be intact. Only the response to the jet lag
changes. It was also found that after a few days of jet lag, cells in the
SCN desynchronize in the wild type (WT) mice, whereas they do not in KO
mice. This desynchrony might be a main reason for heavy jet lag symptoms.
To understand the mechanism underlying jet lag, we propose a simple model of
the SCN, which is a network of phase oscillators [1]. Despite its
simplicity, this model can reproduce important dynamical properties of the
SCN. For example, this model reproduces the desynchrony of oscillators after
jet lag. Moreover, when intercellular interaction is weaker, this
desynchrony is suppressed and the recover from jet lag is considerably
accelerated. Our mathematical study provides a deeper understanding of jet
lag and an idea how to circumvent heavy jet lag symptoms.
[1] Y. Yamaguchi, T. Suzuki, Y. Mizoro, H. Kori, K. Okada, Y. Chen, J.M.
Fustin, F. Yamazaki, N. Mizuguchi, J. Zhang, X. Dong, G. Tsujimoto, Y.
Okuno, M. Doi, H. Okamura: Mice Genetically Deficient in Vasopressin V1a and
V1b Receptors Are Resistant to Jet Lag, Science 342, pp. 85-90 (2013).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.MAR.R43.1