Literature DB >> 18256165

Rostral versus caudal differences in mechanical entrainment of the lamprey central pattern generator for locomotion.

Eric D Tytell1, Avis H Cohen.   

Abstract

In fishes, undulatory swimming is produced by sets of spinal interneurons constituting a central pattern generator (CPG). The CPG generates waves of muscle activity that travel from head to tail, which then bend the body into wave shapes that also travel from head to tail. In many fishes, the wavelengths of the neural and mechanical waves are different, resulting in a rostral-to-caudal gradient in phase lag between muscle activity and bending. The neural basis of this phase gradient was investigated in the lamprey spinal cord using an isolated in vitro preparation. Fictive swimming was induced using d-glutamate and the output of the CPG was measured using suction electrodes placed on the ventral roots. The spinal cord was bent sinusoidally at various points along its length. First, the ranges of entrainment were estimated. Middle segments were able to entrain to frequencies approximately twice as high as those at end segments. Next, phase lags between centers of ventral root bursts and the stimulus were determined. Two halves of the cycle were identified: stretching and shortening of the edge of spinal cord on the same side as the electrode. Stimuli at rostral segments tended to entrain segmental bursting at the beginning of the stretch phase, almost 50% out of phase with previously measured in vivo electromyography data. Stimuli at caudal segments, in contrast, entrained segments at the end of stretch and the beginning of shortening, approximately the same phase as in vivo data.

Entities:  

Mesh:

Year:  2008        PMID: 18256165     DOI: 10.1152/jn.01085.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  12 in total

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Authors:  Jun Chen; W Otto Friesen; Tetsuya Iwasaki
Journal:  J Exp Biol       Date:  2012-01-15       Impact factor: 3.312

2.  A new model for force generation by skeletal muscle, incorporating work-dependent deactivation.

Authors:  Thelma L Williams
Journal:  J Exp Biol       Date:  2010-02-15       Impact factor: 3.312

3.  Entrainment ranges of forced phase oscillators.

Authors:  Joseph P Previte; Natalie Sheils; Kathleen A Hoffman; Tim Kiemel; Eric D Tytell
Journal:  J Math Biol       Date:  2010-05-26       Impact factor: 2.259

4.  Biological clockwork underlying adaptive rhythmic movements.

Authors:  Tetsuya Iwasaki; Jun Chen; W Otto Friesen
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-06       Impact factor: 11.205

5.  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

6.  Characterization of the encoding properties of intraspinal mechanosensory neurons in the lamprey.

Authors:  Nicole Massarelli; Allan L Yau; Kathleen A Hoffman; Tim Kiemel; Eric D Tytell
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-07-12       Impact factor: 1.836

7.  Segmental differences in firing properties and potassium currents in Drosophila larval motoneurons.

Authors:  Subhashini Srinivasan; Kimberley Lance; Richard B Levine
Journal:  J Neurophysiol       Date:  2011-12-07       Impact factor: 2.714

Review 8.  The role of mechanical resonance in the neural control of swimming in fishes.

Authors:  Eric D Tytell; Chia-Yu Hsu; Lisa J Fauci
Journal:  Zoology (Jena)       Date:  2013-12-21       Impact factor: 2.240

9.  Intersegmental coordination of cockroach locomotion: adaptive control of centrally coupled pattern generator circuits.

Authors:  Einat Fuchs; Philip Holmes; Tim Kiemel; Amir Ayali
Journal:  Front Neural Circuits       Date:  2011-01-20       Impact factor: 3.492

10.  Nonlinear muscles, passive viscoelasticity and body taper conspire to create neuromechanical phase lags in anguilliform swimmers.

Authors:  T McMillen; T Williams; P Holmes
Journal:  PLoS Comput Biol       Date:  2008-08-29       Impact factor: 4.475

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