Literature DB >> 19130197

Control of oscillation periods and phase durations in half-center central pattern generators: a comparative mechanistic analysis.

Silvia Daun1, Jonathan E Rubin, Ilya A Rybak.   

Abstract

Central pattern generators (CPGs) consisting of interacting groups of neurons drive a variety of repetitive, rhythmic behaviors in invertebrates and vertebrates, such as arise in locomotion, respiration, mastication, scratching, and so on. These CPGs are able to generate rhythmic activity in the absence of afferent feedback or rhythmic inputs. However, functionally relevant CPGs must adaptively respond to changing demands, manifested as changes in oscillation period or in relative phase durations in response to variations in non-patterned inputs or drives. Although many half-center CPG models, composed of symmetric units linked by reciprocal inhibition yet varying in their intrinsic cellular properties, have been proposed, the precise oscillatory mechanisms operating in most biological CPGs remain unknown. Using numerical simulations and phase-plane analysis, we comparatively investigated how the intrinsic cellular features incorporated in different CPG models, such as subthreshold activation based on a slowly inactivating persistent sodium current, adaptation based on slowly activating calcium-dependent potassium current, or post-inhibitory rebound excitation, can contribute to the control of oscillation period and phase durations in response to changes in excitatory external drive to one or both half-centers. Our analysis shows that both the sensitivity of oscillation period to alterations of excitatory drive and the degree to which the duration of each phase can be separately controlled depend strongly on the intrinsic cellular mechanisms involved in rhythm generation and phase transitions. In particular, the CPG formed from units incorporating a slowly inactivating persistent sodium current shows the greatest range of oscillation periods and the greatest degree of independence in phase duration control by asymmetric inputs. These results are explained based on geometric analysis of the phase plane structures corresponding to the dynamics for each CPG type, which in particular helps pinpoint the roles of escape and release from synaptic inhibition in the effects we find.

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Year:  2009        PMID: 19130197      PMCID: PMC2844522          DOI: 10.1007/s10827-008-0124-4

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  32 in total

Review 1.  Invertebrate central pattern generation moves along.

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Journal:  Curr Biol       Date:  2005-09-06       Impact factor: 10.834

2.  Differential control of active and silent phases in relaxation models of neuronal rhythms.

Authors:  Joël Tabak; Michael J O'Donovan; John Rinzel
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

Review 3.  Biological pattern generation: the cellular and computational logic of networks in motion.

Authors:  Sten Grillner
Journal:  Neuron       Date:  2006-12-07       Impact factor: 17.173

4.  Bursting induced by excitatory synaptic coupling in nonidentical conditional relaxation oscillators or square-wave bursters.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-08-21

5.  On the nature of the fundamental activity of the nervous centres; together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system.

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Journal:  J Physiol       Date:  1914-03-31       Impact factor: 5.182

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Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

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Journal:  Fiziol Zh SSSR Im I M Sechenova       Date:  1973-09

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Authors:  P F Rowat; A I Selverston
Journal:  J Neurophysiol       Date:  1993-09       Impact factor: 2.714

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Review 10.  Pattern generation.

Authors:  R M Harris-Warrick
Journal:  Curr Opin Neurobiol       Date:  1993-12       Impact factor: 6.627

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  38 in total

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Journal:  J Comput Neurosci       Date:  2010-10-07       Impact factor: 1.621

2.  Afferent control of locomotor CPG: insights from a simple neuromechanical model.

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3.  Inferring and quantifying the role of an intrinsic current in a mechanism for a half-center bursting oscillation: A dominant scale and hybrid dynamical systems analysis.

Authors:  Robert Clewley
Journal:  J Biol Phys       Date:  2011-03-17       Impact factor: 1.365

4.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

Authors:  William Erik Sherwood; Ronald Harris-Warrick; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

5.  A mathematical modeling study of inter-segmental coordination during stick insect walking.

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Journal:  J Comput Neurosci       Date:  2010-06-22       Impact factor: 1.621

6.  An inter-segmental network model and its use in elucidating gait-switches in the stick insect.

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Journal:  J Comput Neurosci       Date:  2010-12-17       Impact factor: 1.621

7.  A positive feedback at the cellular level promotes robustness and modulation at the circuit level.

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Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

Review 8.  Evolution of central pattern generators and rhythmic behaviours.

Authors:  Paul S Katz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-01-05       Impact factor: 6.237

9.  Multiple rhythmic states in a model of the respiratory central pattern generator.

Authors:  Jonathan E Rubin; Natalia A Shevtsova; G Bard Ermentrout; Jeffrey C Smith; Ilya A Rybak
Journal:  J Neurophysiol       Date:  2009-02-04       Impact factor: 2.714

10.  Simple cellular and network control principles govern complex patterns of motor behavior.

Authors:  Alexander Kozlov; Mikael Huss; Anders Lansner; Jeanette Hellgren Kotaleski; Sten Grillner
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-09       Impact factor: 11.205

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