Literature DB >> 22189764

Mechanisms underlying rhythmic locomotion: interactions between activation, tension and body curvature waves.

Jun Chen1, W Otto Friesen, Tetsuya Iwasaki.   

Abstract

Undulatory animal locomotion arises from three closely related propagating waves that sweep rostrocaudally along the body: activation of segmental muscles by motoneurons (MNs), strain of the body wall, and muscle tension induced by activation and strain. Neuromechanical models that predict the relative propagation speeds of neural/muscle activation, muscle tension and body curvature can reveal crucial underlying control features of the central nervous system and the power-generating mechanisms of the muscle. We provide an analytical explanation of the relative speeds of these three waves based on a model of neuromuscular activation and a model of the body-fluid interactions for leech anguilliform-like swimming. First, we deduced the motoneuron spike frequencies that activate the muscle and the resulting muscle tension during swimming in intact leeches from muscle bending moments. Muscle bending moments were derived from our video-recorded kinematic motion data by our body-fluid interaction model. The phase relationships of neural activation and muscle tension in the strain cycle were then calculated. Our study predicts that the MN activation and body curvature waves have roughly the same speed (the ratio of curvature to MN activation speed ≈0.84), whereas the tension wave travels about twice as fast. The high speed of the tension wave resulting from slow MN activation is explained by the multiplicative effects of MN activation and muscle strain on tension development. That is, the product of two slower waves (activation and strain) with appropriate amplitude, bias and phase can generate a tension wave with twice the propagation speed of the factors. Our study predicts that (1) the bending moment required for swimming is achieved by minimal MN spike frequency, rather than by minimal muscle tension; (2) MN activity is greater in the mid-body than in the head and tail regions; (3) inhibitory MNs not only accelerate the muscle relaxation but also reduce the intrinsic tonus tension during one sector of the swim cycle; and (4) movements of the caudal end are passive during swimming. These predictions await verification or rejection through further experiments on swimming animals.

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Year:  2012        PMID: 22189764      PMCID: PMC3244339          DOI: 10.1242/jeb.058669

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  21 in total

1.  Simulations of neuromuscular control in lamprey swimming.

Authors:  O Ekeberg; S Grillner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

2.  Sensory feedback can coordinate the swimming activity of the leech.

Authors:  X Yu; B Nguyen; W O Friesen
Journal:  J Neurosci       Date:  1999-06-01       Impact factor: 6.167

3.  Analysis of impulse adaptation in motoneurons.

Authors:  Jianghong Tian; Tetsuya Iwasaki; Wolfgang Otto Friesen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-12-24       Impact factor: 1.836

4.  Mechanisms underlying rhythmic locomotion: body-fluid interaction in undulatory swimming.

Authors:  J Chen; W O Friesen; T Iwasaki
Journal:  J Exp Biol       Date:  2011-02-15       Impact factor: 3.312

5.  Mechanisms underlying rhythmic locomotion: dynamics of muscle activation.

Authors:  Jun Chen; Jianghong Tian; Tetsuya Iwasaki; W Otto Friesen
Journal:  J Exp Biol       Date:  2011-06-01       Impact factor: 3.312

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Authors:  H Hatze; J D Buys
Journal:  Biol Cybern       Date:  1977-07-08       Impact factor: 2.086

7.  Fictive locomotion in the lamprey spinal cord in vitro compared with swimming in the intact and spinal animal.

Authors:  P Wallén; T L Williams
Journal:  J Physiol       Date:  1984-02       Impact factor: 5.182

8.  How fish power swimming.

Authors:  L C Rome; D Swank; D Corda
Journal:  Science       Date:  1993-07-16       Impact factor: 47.728

9.  Intersegmental coordination of leech swimming: comparison of in situ and isolated nerve cord activity with body wall movement.

Authors:  R A Pearce; W O Friesen
Journal:  Brain Res       Date:  1984-05-14       Impact factor: 3.252

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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  3 in total

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

2.  Using computational and mechanical models to study animal locomotion.

Authors:  Laura A Miller; Daniel I Goldman; Tyson L Hedrick; Eric D Tytell; Z Jane Wang; Jeannette Yen; Silas Alben
Journal:  Integr Comp Biol       Date:  2012-09-16       Impact factor: 3.326

3.  Analytical insights into optimality and resonance in fish swimming.

Authors:  Saba Kohannim; Tetsuya Iwasaki
Journal:  J R Soc Interface       Date:  2014-01-15       Impact factor: 4.118

  3 in total

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