Literature DB >> 27582293

Feedforward compensation for novel dynamics depends on force field orientation but is similar for the left and right arms.

Eva-Maria Reuter1,2, Ross Cunnington2,3, Jason B Mattingley2,3, Stephan Riek4, Timothy J Carroll4.   

Abstract

There are well-documented differences in the way that people typically perform identical motor tasks with their dominant and the nondominant arms. According to Yadav and Sainburg's (Neuroscience 196: 153-167, 2011) hybrid-control model, this is because the two arms rely to different degrees on impedance control versus predictive control processes. Here, we assessed whether differences in limb control mechanisms influence the rate of feedforward compensation to a novel dynamic environment. Seventy-five healthy, right-handed participants, divided into four subsamples depending on the arm (left, right) and direction of the force field (ipsilateral, contralateral), reached to central targets in velocity-dependent curl force fields. We assessed the rate at which participants developed predictive compensation for the force field using intermittent error-clamp trials and assessed both kinematic errors and initial aiming angles in the field trials. Participants who were exposed to fields that pushed the limb toward ipsilateral space reduced kinematic errors more slowly, built up less predictive field compensation, and relied more on strategic reaiming than those exposed to contralateral fields. However, there were no significant differences in predictive field compensation or kinematic errors between limbs, suggesting that participants using either the left or the right arm could adapt equally well to novel dynamics. It therefore appears that the distinct preferences in control mechanisms typically observed for the dominant and nondominant arms reflect a default mode that is based on habitual functional requirements rather than an absolute limit in capacity to access the controller specialized for the opposite limb.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  force field adaptation; laterality; limb dominance; motor control; motor learning

Mesh:

Year:  2016        PMID: 27582293      PMCID: PMC5102302          DOI: 10.1152/jn.00425.2016

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


  53 in total

1.  Differences in control of limb dynamics during dominant and nondominant arm reaching.

Authors:  R L Sainburg; D Kalakanis
Journal:  J Neurophysiol       Date:  2000-05       Impact factor: 2.714

2.  Evidence for a dynamic-dominance hypothesis of handedness.

Authors:  Robert L Sainburg
Journal:  Exp Brain Res       Date:  2001-11-22       Impact factor: 1.972

3.  Handedness: dominant arm advantages in control of limb dynamics.

Authors:  Leia B Bagesteiro; Robert L Sainburg
Journal:  J Neurophysiol       Date:  2002-11       Impact factor: 2.714

4.  Control of hand impedance under static conditions and during reaching movement.

Authors:  Mohammad Darainy; Farzad Towhidkhah; David J Ostry
Journal:  J Neurophysiol       Date:  2007-02-07       Impact factor: 2.714

5.  Patterns of hypermetria and terminal cocontraction during point-to-point movements demonstrate independent action of trajectory and postural controllers.

Authors:  Robert A Scheidt; Claude Ghez; Supriya Asnani
Journal:  J Neurophysiol       Date:  2011-08-17       Impact factor: 2.714

Review 6.  The effects of brain lateralization on motor control and adaptation.

Authors:  Pratik K Mutha; Kathleen Y Haaland; Robert L Sainburg
Journal:  J Mot Behav       Date:  2012       Impact factor: 1.328

7.  Directional biases reveal utilization of arm's biomechanical properties for optimization of motor behavior.

Authors:  Jacob A Goble; Yanxin Zhang; Yury Shimansky; Siddharth Sharma; Natalia V Dounskaia
Journal:  J Neurophysiol       Date:  2007-07-11       Impact factor: 2.714

8.  Catch trials in force field learning influence adaptation and consolidation of human motor memory.

Authors:  Christian Stockinger; Anne Focke; Thorsten Stein
Journal:  Front Hum Neurosci       Date:  2014-04-21       Impact factor: 3.169

Review 9.  Convergent models of handedness and brain lateralization.

Authors:  Robert L Sainburg
Journal:  Front Psychol       Date:  2014-10-08

10.  Limb dominance results from asymmetries in predictive and impedance control mechanisms.

Authors:  Vivek Yadav; Robert L Sainburg
Journal:  PLoS One       Date:  2014-04-02       Impact factor: 3.240

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  2 in total

Review 1.  Distinct neural circuits for control of movement vs. holding still.

Authors:  Reza Shadmehr
Journal:  J Neurophysiol       Date:  2017-01-04       Impact factor: 2.714

2.  Interlimb Dynamic after Unilateral Focal Lesion of the Cervical Dorsal Corticospinal Tract with Endothelin-1.

Authors:  Walther A Carvalho; Carlomagno P Bahia; Jéssica C Teixeira; Walace Gomes-Leal; Antonio Pereira
Journal:  Front Neuroanat       Date:  2017-10-13       Impact factor: 3.856

  2 in total

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