Literature DB >> 11521149

Relationship between cocontraction, movement kinematics and phasic muscle activity in single-joint arm movement.

M Suzuki1, D M Shiller, P L Gribble, D J Ostry.   

Abstract

Patterns of muscle coactivation provide a window into mechanisms of limb stabilization. In the present paper we have examined muscle coactivation in single-joint elbow and single-joint shoulder movements and explored its relationship to movement velocity and amplitude, as well as phasic muscle activation patterns. Movements were produced at several speeds and different amplitudes, and muscle activity and movement kinematics were recorded. Tonic levels of electromyographic (EMG) activity following movement provided a measure of muscle cocontraction. It was found that coactivation following movement increased with maximum joint velocity at each of two amplitudes. Phasic EMG activity in agonist and antagonist muscles showed a similar correlation that was observable even during the first 30 ms of muscle activation. All subjects but one showed statistically significant correlations on a trial-by-trial basis between tonic and phasic activity levels, including the phasic activity measure taken at the initiation of movement. Our findings provide direct evidence that muscle coactivation varies with movement velocity. The data also suggest that cocontraction is linked in a simple manner to phasic muscle activity. The similarity in the patterns of tonic and phasic activation suggests that the nervous system may use a simple strategy to adjust coactivation and presumably limb impedance in association with changes in movement speed. Moreover, since the pattern of tonic activity varies with the first 30 ms of phasic activity, the control of cocontraction may be established prior to movement onset.

Mesh:

Year:  2001        PMID: 11521149     DOI: 10.1007/s002210100797

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  25 in total

1.  Influence of movement speed on accuracy and coordination of reaching movements to memorized targets in three-dimensional space in a deafferented subject.

Authors:  Julie Messier; Sergei Adamovich; Michail Berkinblit; Eugene Tunik; Howard Poizner
Journal:  Exp Brain Res       Date:  2003-05-09       Impact factor: 1.972

2.  Kinematics of wrist joint flexion in overarm throws made by skilled subjects.

Authors:  D B Debicki; P L Gribble; S Watts; J Hore
Journal:  Exp Brain Res       Date:  2003-11-04       Impact factor: 1.972

Review 3.  A critical evaluation of the force control hypothesis in motor control.

Authors:  David J Ostry; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2003-09-13       Impact factor: 1.972

4.  The functional role of the cerebellum in visually guided tracking movement.

Authors:  Jongho Lee; Yasuhiro Kagamihara; Saeka Tomatsu; Shinji Kakei
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

5.  Velocity-based planning of rapid elbow movements expands the control scheme of the equilibrium point hypothesis.

Authors:  Masataka Suzuki; Yoshihiko Yamazaki
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

6.  Differential effects of mental load on proximal and distal arm muscle activity.

Authors:  Jules G Bloemsaat; Ruud G J Meulenbroek; Gerard P Van Galen
Journal:  Exp Brain Res       Date:  2005-08-03       Impact factor: 1.972

7.  The use of flexible arm muscle synergies to perform an isometric stabilization task.

Authors:  Vijaya Krishnamoorthy; John P Scholz; Mark L Latash
Journal:  Clin Neurophysiol       Date:  2007-01-03       Impact factor: 3.708

8.  The influence of visual perturbations on the neural control of limb stiffness.

Authors:  Jeremy Wong; Elizabeth T Wilson; Nicole Malfait; Paul L Gribble
Journal:  J Neurophysiol       Date:  2008-07-30       Impact factor: 2.714

9.  Critical damping conditions for third order muscle models: implications for force control.

Authors:  Davide Piovesan; Alberto Pierobon; Ferdinando A Mussa Ivaldi
Journal:  J Biomech Eng       Date:  2013-10       Impact factor: 2.097

10.  Muscle cocontraction following dynamics learning.

Authors:  Mohammad Darainy; David J Ostry
Journal:  Exp Brain Res       Date:  2008-06-27       Impact factor: 1.972

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