Literature DB >> 11067974

Kinematic strategies for upper arm-forearm coordination in three dimensions.

W P Medendorp1, J D Crawford, D Y Henriques, J A Van Gisbergen, C C Gielen.   

Abstract

This study addressed the question of how the three-dimensional (3-D) control strategy for the upper arm depends on what the forearm is doing. Subjects were instructed to point a laser-attached in line with the upper arm-toward various visual targets, such that two-dimensional (2-D) pointing directions of the upper arm were held constant across different tasks. For each such task, subjects maintained one of several static upper arm-forearm configurations, i. e., each with a set elbow angle and forearm orientation. Upper arm, forearm, and eye orientations were measured with the use of 3-D search coils. The results confirmed that Donders' law (a behavioral restriction of 3-D orientation vectors to a 2-D "surface") does not hold across all pointing tasks, i.e., for a given pointing target, upper arm torsion varied widely. However, for any one static elbow configuration, torsional variance was considerably reduced and was independent of previous arm position, resulting in a thin, Donders-like surface of orientation vectors. More importantly, the shape of this surface (which describes upper arm torsion as a function of its 2-D pointing direction) depended on both elbow angle and forearm orientation. For pointing with the arm fully extended or with the elbow flexed in the horizontal plane, a Listing's-law-like strategy was observed, minimizing shoulder rotations to and from center at the cost of position-dependent tilts in the forearm. In contrast, when the arm was bent in the vertical plane, the surface of best fit showed a Fick-like twist that increased continuously as a function of static elbow flexion, thereby reducing position-dependent tilts of the forearm with respect to gravity. In each case, the torsional variance from these surfaces remained constant, suggesting that Donders' law was obeyed equally well for each task condition. Further experiments established that these kinematic rules were independent of gaze direction and eye orientation, suggesting that Donders' law of the arm does not coordinate with Listing's law for the eye. These results revive the idea that Donders' law is an important governing principle for the control of arm movements but also suggest that its various forms may only be limited manifestations of a more general set of context-dependent kinematic rules. We propose that these rules are implemented by neural velocity commands arising as a function of initial arm orientation and desired pointing direction, calculated such that the torsional orientation of the upper arm is implicitly coordinated with desired forearm posture.

Mesh:

Year:  2000        PMID: 11067974     DOI: 10.1152/jn.2000.84.5.2302

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  12 in total

1.  A simple rule for controlling overarm throws to different targets.

Authors:  Sherry Watts; Ivan Pessotto; Jon Hore
Journal:  Exp Brain Res       Date:  2004-06-30       Impact factor: 1.972

2.  Intrinsic joint kinematic planning. I: reassessing the Listing's law constraint in the control of three-dimensional arm movements.

Authors:  D G Liebermann; A Biess; J Friedman; C C A M Gielen; T Flash
Journal:  Exp Brain Res       Date:  2005-12-08       Impact factor: 1.972

3.  Intrinsic joint kinematic planning. II: hand-path predictions based on a Listing's plane constraint.

Authors:  D G Liebermann; A Biess; C C A M Gielen; T Flash
Journal:  Exp Brain Res       Date:  2005-12-08       Impact factor: 1.972

4.  Effects of movement frequency and joint kinetics on the joint coordination underlying bimanual circle drawing.

Authors:  Ya-weng Tseng; John P Scholz; Martin Valere
Journal:  J Mot Behav       Date:  2006-09       Impact factor: 1.328

5.  Left visual field preference for a bimanual grasping task with ecologically valid object sizes.

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Journal:  Exp Brain Res       Date:  2013-07-16       Impact factor: 1.972

6.  Upper-limb kinematic reconstruction during stroke robot-aided therapy.

Authors:  E Papaleo; L Zollo; N Garcia-Aracil; F J Badesa; R Morales; S Mazzoleni; S Sterzi; E Guglielmelli
Journal:  Med Biol Eng Comput       Date:  2015-04-11       Impact factor: 2.602

7.  Redundancy, self-motion, and motor control.

Authors:  V Martin; J P Scholz; G Schöner
Journal:  Neural Comput       Date:  2009-05       Impact factor: 2.026

8.  Learning to be lazy: exploiting redundancy in a novel task to minimize movement-related effort.

Authors:  Rajiv Ranganathan; Adenike Adewuyi; Ferdinando A Mussa-Ivaldi
Journal:  J Neurosci       Date:  2013-02-13       Impact factor: 6.167

Review 9.  Computational approaches to motor control.

Authors:  T Flash; T J Sejnowski
Journal:  Curr Opin Neurobiol       Date:  2001-12       Impact factor: 6.627

10.  A Donders' Like Law for Arm Movements: The Signal not the Noise.

Authors:  Steven Ewart; Stephanie M Hynes; Warren G Darling; Charles Capaday
Journal:  Front Hum Neurosci       Date:  2016-03-30       Impact factor: 3.169

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