Literature DB >> 9547076

Common principles underlying the control of rapid, single degree-of-freedom movements at different joints.

K D Pfann1, D S Hoffman, G L Gottlieb, P L Strick, D M Corcos.   

Abstract

Studies of rapid, single degree-of-freedom movements have shown different changes in electromyographic patterns for movement tasks that appear very similar (e.g., movements over different ranges of distance). However, it is not clear whether these differences are a result of joint-specific control schemes or whether they are instead due to the limited range of task parameters studied relative to the mechanical constraints of each joint (e.g., short compared with long movements relative to the range of motion of a particular joint). In this study, we measured and compared the kinematic trajectories and electromyograms recorded during various movement tasks at the wrist, elbow, and ankle. Subjects performed movements over a wide range of distances "as fast as possible," "at a comfortable speed," and against two inertial loads (at the elbow only), and they performed movements over a fixed distance at three different speeds at the wrist and ankle. For fast movements we show that, in spite of some joint-specific differences, the basic pattern of electromyographic (EMG) modulation is similar at all three joints; for example, the agonist EMG burst transitions from a fixed duration to an increasing duration with increasing movement distance at all three joints. Moreover, the distance at which this transition occurs in one joint relative to the distance at which this transition occurs in the other two joints is consistent across subjects. The transition occurs at the shortest distance at the ankle and the longest distance at the wrist. In general we suggest that the data are consistent with a single set of control rules applied at all three joints, with the biomechanical constraints at each joint accounting for the differences in the EMG and kinematic patterns observed across joints.

Mesh:

Year:  1998        PMID: 9547076     DOI: 10.1007/s002210050253

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


  17 in total

1.  Adaptive fuzzy control of electrically stimulated muscles for arm movements.

Authors:  S Micera; A M Sabatini; P Dario
Journal:  Med Biol Eng Comput       Date:  1999-11       Impact factor: 2.602

2.  The neural control of single degree-of-freedom elbow movements. Effect of starting joint position.

Authors:  Janey Prodoehl; Gerald L Gottlieb; Daniel M Corcos
Journal:  Exp Brain Res       Date:  2003-08-28       Impact factor: 1.972

3.  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

4.  Muscle activation patterns in point-to-point and reversal movements in healthy, older subjects and in subjects with Parkinson's disease.

Authors:  K D Pfann; J A Robichaud; G L Gottlieb; C L Comella; M Brandabur; D M Corcos
Journal:  Exp Brain Res       Date:  2004-02-26       Impact factor: 1.972

5.  Training BIG to move faster: the application of the speed-amplitude relation as a rehabilitation strategy for people with Parkinson's disease.

Authors:  Becky G Farley; Gail F Koshland
Journal:  Exp Brain Res       Date:  2005-11-11       Impact factor: 1.972

6.  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

7.  Effect of combined variation of force amplitude and rate of force development on the modulation characteristics of muscle activation during rapid isometric aiming force production.

Authors:  Jin-Hoon Park; George E Stelmach
Journal:  Exp Brain Res       Date:  2005-12-03       Impact factor: 1.972

8.  Additional load decreases movement time in the wrist but not in arm movements at ID 6.

Authors:  Stefan Panzer; Jason B Boyle; Charles H Shea
Journal:  Exp Brain Res       Date:  2012-10-26       Impact factor: 1.972

9.  EMG responses to unexpected perturbations are delayed in slower movements.

Authors:  Fabian J David; Cynthia Poon; Chuanxin M Niu; Daniel M Corcos; Mark B Shapiro
Journal:  Exp Brain Res       Date:  2009-08-22       Impact factor: 1.972

10.  Variability of EMG patterns: a potential neurophysiological marker of Parkinson's disease?

Authors:  Julie A Robichaud; Kerstin D Pfann; Sue Leurgans; David E Vaillancourt; Cynthia L Comella; Daniel M Corcos
Journal:  Clin Neurophysiol       Date:  2008-12-11       Impact factor: 3.708

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