Literature DB >> 15064878

Limitations in interlimb transfer of visuomotor rotations.

Jinsung Wang1, Robert L Sainburg.   

Abstract

It has been shown that learning visuomotor rotations with multiple target directions, compared with a single target direction, leads to greater generalization to untrained targets within the same limb. This implies that multiple direction learning results in a more complete internal model of the visuomotor transform. It has also been documented that the extent of transfer of movement information regarding visuomotor adaptations between the limbs is limited, relative to that between different configurations of the same limb. The present study thus investigated the origin of this restriction in interlimb transfer, by comparing the effects of eight-direction and one-direction training conditions with one arm on the subsequent performance with the other arm. It was hypothesized that if multiple direction learning leads to a more complete model of the novel visuomotor transform, interlimb transfer should be enhanced relative to that following single direction training. However, if no differences are observed between single and multiple direction training conditions, this would suggest that such learning is effector dependent. We also tested the hypothesis that interlimb transfer of visuomotor adaptation is not obligatory, by examining the effects of visual rotation direction (same or oppositely directed visuomotor rotations for the two arms). All subjects first adapted to a 30 degrees rotation, either clockwise or counterclockwise, in the visual display during reaching movements. Following this, they adapted to a 30 degrees rotation in either the same or opposing direction with the other arm. Results showed that initial training with the non-dominant arm facilitated subsequent performance with the dominant arm in terms of initial direction control, but only under the same rotation condition. Both single and eight direction training conditions led to substantial transfer in subsequent performance with the other arm, but multiple direction training was no more beneficial than single direction training. This finding suggests that the previously reported intralimb advantages of multiple direction learning are effector specific. Our findings are discussed in the context of hierarchical models of motor control to explain the intralimb advantages of multiple direction training.

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Year:  2003        PMID: 15064878     DOI: 10.1007/s00221-003-1691-2

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


  29 in total

1.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 2.  Internal models for motor control and trajectory planning.

Authors:  M Kawato
Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

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

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

4.  Inter- and intra-limb generalization of adaptation during catching.

Authors:  S M Morton; C E Lang; A J Bastian
Journal:  Exp Brain Res       Date:  2001-10-31       Impact factor: 1.972

5.  Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study.

Authors:  Christine Tong; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

6.  Evidence for an eye-centered spherical representation of the visuomotor map.

Authors:  P Vetter; S J Goodbody; D M Wolpert
Journal:  J Neurophysiol       Date:  1999-02       Impact factor: 2.714

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Authors:  Z Ghahramani; D M Wolpert; M I Jordan
Journal:  J Neurosci       Date:  1996-11-01       Impact factor: 6.167

9.  Mechanisms underlying interlimb transfer of visuomotor rotations.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-02-26       Impact factor: 1.972

10.  Coordinates transformation and learning control for visually-guided voluntary movement with iteration: a Newton-like method in a function space.

Authors:  M Kawato; M Isobe; Y Maeda; R Suzuki
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

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  31 in total

1.  To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning.

Authors:  Hannah Z Lefumat; Jean-Louis Vercher; R Chris Miall; Jonathan Cole; Frank Buloup; Lionel Bringoux; Christophe Bourdin; Fabrice R Sarlegna
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

Review 2.  The internal model and the leading joint hypothesis: implications for control of multi-joint movements.

Authors:  Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2005-08-13       Impact factor: 1.972

3.  The symmetry of interlimb transfer depends on workspace locations.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2005-11-23       Impact factor: 1.972

4.  Upper limb asymmetries in the utilization of proprioceptive feedback.

Authors:  Daniel J Goble; Colleen A Lewis; Susan H Brown
Journal:  Exp Brain Res       Date:  2005-11-26       Impact factor: 1.972

5.  The role of kinematic redundancy in adaptation of reaching.

Authors:  Jeng-Feng Yang; John P Scholz; Mark L Latash
Journal:  Exp Brain Res       Date:  2006-07-28       Impact factor: 1.972

6.  Interlimb transfer of visuomotor rotations depends on handedness.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2006-05-30       Impact factor: 1.972

7.  Asymmetric generalization between the arm and leg following prism-induced visuomotor adaptation.

Authors:  Douglas N Savin; Susanne M Morton
Journal:  Exp Brain Res       Date:  2007-12-04       Impact factor: 1.972

8.  Control of velocity and position in single joint movements.

Authors:  Pratik K Mutha; Robert L Sainburg
Journal:  Hum Mov Sci       Date:  2007-10-10       Impact factor: 2.161

9.  Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment.

Authors:  Christopher N Schabowsky; Joseph M Hidler; Peter S Lum
Journal:  Exp Brain Res       Date:  2007-07-05       Impact factor: 1.972

10.  Asymmetric interlimb transfer of concurrent adaptation to opposing dynamic forces.

Authors:  J M Galea; R C Miall; D G Woolley
Journal:  Exp Brain Res       Date:  2007-08-17       Impact factor: 1.972

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