Literature DB >> 1641128

Virtual trajectories of single-joint movements performed under two basic strategies.

M L Latash1, G L Gottlieb.   

Abstract

The framework of the equilibrium point hypothesis has been used to analyse motor control processes for single-joint movements. Virtual trajectories and joint stiffness were reconstructed for different movement speeds and distances when subjects were instructed either to move "as fast as possible" or to intentionally vary movement speed. These instructions are assumed to be associated with similar or different rates of change of hypothetical central control variables (corresponding to the speed-sensitive and speed-insensitive strategies). The subjects were trained to perform relatively slow, moderately fast and very fast (nominal movement times 800, 400 and 250 ms) single-joint elbow flexion movements against a constant extending torque bias. They were instructed to reproduce the motor command for a series of movements while ignoring possible changes in the external torque which could slowly and unpredictably increase, decrease, or remain constant. The total muscle torque was calculated as a sum of external and inertial components. Fast movements over different distances were made with the speed-insensitive strategy. They were characterized by an increase in joint stiffness near the midpoint of the movements which was relatively independent of movement amplitude. Their virtual trajectories had a non-monotonic N-shape. All three arms of the N-shape scaled with movement amplitude. Movements over one distance at different speeds were made with a speed-sensitive strategy. They demonstrated different patterns of virtual trajectories and joint stiffness that depended on movement speed. The N-shape became less apparent for moderately fast movements and virtually disappeared for the slow movements. Slow movements showed no visible increase in joint stiffness.(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1992        PMID: 1641128     DOI: 10.1016/0306-4522(92)90252-w

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  11 in total

1.  Independent control of joint stiffness in the framework of the equilibrium-point hypothesis.

Authors:  M L Latash
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

2.  Differential relation of discharge in primary motor cortex and premotor cortex to movements versus actively maintained postures during a reaching task.

Authors:  D J Crammond; J F Kalaska
Journal:  Exp Brain Res       Date:  1996-02       Impact factor: 1.972

3.  Prism adaptation of reaching movements: specificity for the velocity of reaching.

Authors:  S Kitazawa; T Kimura; T Uka
Journal:  J Neurosci       Date:  1997-02-15       Impact factor: 6.167

4.  Moving a hand-held object: Reconstruction of referent coordinate and apparent stiffness trajectories.

Authors:  S Ambike; T Zhou; V M Zatsiorsky; M L Latash
Journal:  Neuroscience       Date:  2015-04-18       Impact factor: 3.590

5.  Prediction of a moving target's position in fast goal-directed action.

Authors:  J B Smeets; E Brenner
Journal:  Biol Cybern       Date:  1995-11       Impact factor: 2.086

6.  Control of fast elbow movement: a study of electromyographic patterns during movements against unexpectedly decreased inertial load.

Authors:  M L Latash
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

7.  Abnormal motor patterns in the framework of the equilibrium-point hypothesis: a cause for dystonic movements?

Authors:  M L Latash; S R Gutman
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

Review 8.  Dynamic primitives of motor behavior.

Authors:  Neville Hogan; Dagmar Sternad
Journal:  Biol Cybern       Date:  2012-11-03       Impact factor: 2.086

9.  Prehension synergies and control with referent hand configurations.

Authors:  Mark L Latash; Jason Friedman; Sun Wook Kim; Anatol G Feldman; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2009-12-23       Impact factor: 1.972

10.  Biomechanics as a window into the neural control of movement.

Authors:  Mark L Latash
Journal:  J Hum Kinet       Date:  2016-09-10       Impact factor: 2.193

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