Literature DB >> 19216921

Phase response curves elucidating the dynamics of coupled oscillators.

A Granada1, R M Hennig, B Ronacher, A Kramer, H Herzel.   

Abstract

Phase response curves (PRCs) are widely used in circadian clocks, neuroscience, and heart physiology. They quantify the response of an oscillator to pulse-like perturbations. Phase response curves provide valuable information on the properties of oscillators and their synchronization. This chapter discusses biological self-sustained oscillators (circadian clock, physiological rhythms, etc.) in the context of nonlinear dynamics theory. Coupled oscillators can synchronize with different frequency ratios, can generate toroidal dynamics (superposition of independent frequencies), and may lead to deterministic chaos. These nonlinear phenomena can be analyzed with the aid of a phase transition curve, which is intimately related to the phase response curve. For illustration purposes, this chapter discusses a model of circadian oscillations based on a delayed negative feedback. In a second part, the chapter provides a step-by-step recipe to measure phase response curves. It discusses specifications of this recipe for circadian rhythms, heart rhythms, neuronal spikes, central pattern generators, and insect communication. Finally, it stresses the predictive power of measured phase response curves. PRCs can be used to quantify the coupling strength of oscillations, to classify oscillator types, and to predict the complex dynamics of periodically driven oscillations.

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Year:  2009        PMID: 19216921     DOI: 10.1016/S0076-6879(08)03801-9

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  18 in total

1.  Robust entrainment of circadian oscillators requires specific phase response curves.

Authors:  Benjamin Pfeuty; Quentin Thommen; Marc Lefranc
Journal:  Biophys J       Date:  2011-06-08       Impact factor: 4.033

2.  Genetic redundancy strengthens the circadian clock leading to a narrow entrainment range.

Authors:  A Erzberger; G Hampp; A E Granada; U Albrecht; H Herzel
Journal:  J R Soc Interface       Date:  2013-05-15       Impact factor: 4.118

3.  The phase response of the cortical slow oscillation.

Authors:  Arne Weigenand; Thomas Martinetz; Jens Christian Claussen
Journal:  Cogn Neurodyn       Date:  2012-06-13       Impact factor: 5.082

4.  Characterization of orderly spatiotemporal patterns of clock gene activation in mammalian suprachiasmatic nucleus.

Authors:  Nicholas C Foley; Tina Y Tong; Duncan Foley; Joseph Lesauter; David K Welsh; Rae Silver
Journal:  Eur J Neurosci       Date:  2011-04-14       Impact factor: 3.386

5.  Response of an oscillatory differential delay equation to a periodic stimulus.

Authors:  Daniel C De Souza; Michael C Mackey
Journal:  J Math Biol       Date:  2019-01-12       Impact factor: 2.259

6.  Arnold tongue entrainment reveals dynamical principles of the embryonic segmentation clock.

Authors:  Paul Gerald Layague Sanchez; Victoria Mochulska; Christian Mauffette Denis; Gregor Mönke; Takehito Tomita; Nobuko Tsuchida-Straeten; Yvonne Petersen; Katharina Sonnen; Paul François; Alexander Aulehla
Journal:  Elife       Date:  2022-10-12       Impact factor: 8.713

7.  Human chronotypes from a theoretical perspective.

Authors:  Adrián E Granada; Grigory Bordyugov; Achim Kramer; Hanspeter Herzel
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

8.  Photic desynchronization of two subgroups of circadian oscillators in a network model of the suprachiasmatic nucleus with dispersed coupling strengths.

Authors:  Changgui Gu; Zonghua Liu; William J Schwartz; Premananda Indic
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

9.  Quantification of circadian rhythms in single cells.

Authors:  Pål O Westermark; David K Welsh; Hitoshi Okamura; Hanspeter Herzel
Journal:  PLoS Comput Biol       Date:  2009-11-26       Impact factor: 4.475

10.  Evaluation of the Phase-Dependent Rhythm Control of Human Walking Using Phase Response Curves.

Authors:  Tetsuro Funato; Yuki Yamamoto; Shinya Aoi; Takashi Imai; Toshio Aoyagi; Nozomi Tomita; Kazuo Tsuchiya
Journal:  PLoS Comput Biol       Date:  2016-05-20       Impact factor: 4.475

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