Literature DB >> 3682879

A myocybernetic model of the jaw system of the rat.

E Otten1.   

Abstract

A dynamic model of the jaw system of the rat has been formulated. The model consists of several units: (1) A static muscle fiber model, relating force with fiber length, based on sarcomere morphometric information. (2) A static skeletal muscle model, relating muscle force with muscle length based on myomorphometric information and the static fiber model. (3) A dynamic skeletal muscle model, relating muscle force with muscle length, contraction velocity and stimulation rate, based on fiber type data, calcium dynamics and velocity-force relations and on the static skeletal muscle model. (4) A kinematic model of the jaw system, relating the possible movements of the jaw system with the morphometrics of the bones, joints and connective tissue. (5) A three-dimensional reconstruction package, devised to analyze and display the morphometrics of the jaw system and to show the model results in terms of force vectors, positions and movements of the jaw system. EMG data of chewing rats and myomorphometric data (from unit 5) are fed into unit 3 resulting in muscle forces. The trajectories of the lower jaw and hyoid resulting from these velocity-dependent forces are calculated using unit 4, taking inertias and gravity into account. The calculated movements are remarkably similar to those that have been observed experimentally. The force-velocity relation of the muscles is highly important in stabilizing the velocities of the elements.

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Year:  1987        PMID: 3682879     DOI: 10.1016/0165-0270(87)90123-3

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  27 in total

1.  Measured and modeled properties of mammalian skeletal muscle: IV. dynamics of activation and deactivation.

Authors:  I E Brown; G E Loeb
Journal:  J Muscle Res Cell Motil       Date:  2000-01       Impact factor: 2.698

2.  Muscle power attenuation by tendon during energy dissipation.

Authors:  Nicolai Konow; Emanuel Azizi; Thomas J Roberts
Journal:  Proc Biol Sci       Date:  2011-09-28       Impact factor: 5.349

3.  A new model for calculating muscle forces from electromyograms.

Authors:  L J van Ruijven; W A Weijs
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

4.  Probability-based prediction of activity in multiple arm muscles: implications for functional electrical stimulation.

Authors:  Chad V Anderson; Andrew J Fuglevand
Journal:  J Neurophysiol       Date:  2008-04-24       Impact factor: 2.714

5.  Mechanics of feline soleus: II. Design and validation of a mathematical model.

Authors:  I E Brown; S H Scott; G E Loeb
Journal:  J Muscle Res Cell Motil       Date:  1996-04       Impact factor: 2.698

6.  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

7.  Incompressible fluid plays a mechanical role in the development of passive muscle tension.

Authors:  David A Sleboda; Thomas J Roberts
Journal:  Biol Lett       Date:  2017-01       Impact factor: 3.703

8.  Comparison of human gastrocnemius forces predicted by Hill-type muscle models and estimated from ultrasound images.

Authors:  Taylor J M Dick; Andrew A Biewener; James M Wakeling
Journal:  J Exp Biol       Date:  2017-02-15       Impact factor: 3.312

9.  Anticipatory motor patterns limit muscle stretch during landing in toads.

Authors:  Emanuel Azizi; Emily M Abbott
Journal:  Biol Lett       Date:  2012-12-19       Impact factor: 3.703

10.  Built for rowing: frog muscle is tuned to limb morphology to power swimming.

Authors:  Christopher T Richards; Christofer J Clemente
Journal:  J R Soc Interface       Date:  2013-05-15       Impact factor: 4.118

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