Literature DB >> 12172655

Interlimb transfer of visuomotor rotations: independence of direction and final position information.

Robert L Sainburg1, Jinsung Wang.   

Abstract

Previous findings from our laboratory support the idea that the dominant arm is more proficient than the non-dominant arm in coordinating intersegmental dynamics for specifying trajectory direction and shape during multijoint reaching movements. We also showed that adaptation of right and left arms to novel visuomotor rotations was equivalent, suggesting that this process occurs upstream to processes that distinguish dominant and non-dominant arm performance. Because of this, we speculate that such visuomotor adaptations might transfer to subsequent performance during adaptation with the other arm. We now examine whether opposite arm training to novel visuomotor rotations transfers to affect adaptation using the right and left arms. Two subject groups, RL and LR, each comprising seven right-handed subjects, adapted to a 30 degrees counterclockwise rotation in the visual display during a center-out reaching task performed in eight directions. Each group first adapted using either the right (RL) or left (LR) arm, followed by opposite arm adaptation. In order to assess transfer, we compared the same side arm movements (either right or left) following opposite arm adaptation to those performed prior to opposite arm adaptation. Our findings indicate unambiguous transfer of learning across the arms. Different features of movement transferred in different directions: Opposite arm training improved the initial direction of right arm movements under the rotated visual condition, whereas opposite arm training improved the final position accuracy, but not the direction of left arm movements. These findings confirm that transfer of training was not due to a general cognitive strategy, since such an effect should influence either hand equally. These findings support the hypothesis that each arm controller has access to information learned during opposite arm training. We suggest that each controller uses this information differently, depending on its proficiency for specifying particular features of movement. We discuss evidence that these two aspects of control are differentially mediated by the right and left cerebral hemispheres.

Mesh:

Year:  2002        PMID: 12172655     DOI: 10.1007/s00221-002-1140-7

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


  125 in total

1.  Movement speed effects on limb position drift.

Authors:  Liana E Brown; David A Rosenbaum; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-08-19       Impact factor: 1.972

2.  Interlimb differences in control of movement extent.

Authors:  Robert L Sainburg; Sydney Y Schaefer
Journal:  J Neurophysiol       Date:  2004-04-28       Impact factor: 2.714

3.  Limitations in interlimb transfer of visuomotor rotations.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-12-19       Impact factor: 1.972

4.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

5.  Context-dependent partitioning of motor learning in bimanual movements.

Authors:  Ian S Howard; James N Ingram; Daniel M Wolpert
Journal:  J Neurophysiol       Date:  2010-08-04       Impact factor: 2.714

6.  Dissociating the roles of the cerebellum and motor cortex during adaptive learning: the motor cortex retains what the cerebellum learns.

Authors:  Joseph M Galea; Alejandro Vazquez; Neel Pasricha; Jean-Jacques Orban de Xivry; Pablo Celnik
Journal:  Cereb Cortex       Date:  2010-12-07       Impact factor: 5.357

7.  The nervous system uses nonspecific motor learning in response to random perturbations of varying nature.

Authors:  Kunlin Wei; Daniel Wert; Konrad Körding
Journal:  J Neurophysiol       Date:  2010-09-22       Impact factor: 2.714

8.  Concurrent adaptation to four different visual rotations.

Authors:  Monika Thomas; Otmar Bock
Journal:  Exp Brain Res       Date:  2012-07-10       Impact factor: 1.972

9.  Intermanual transfer characteristics of dynamic learning: direction, coordinate frame, and consolidation of interlimb generalization.

Authors:  Christian Stockinger; Benjamin Thürer; Anne Focke; Thorsten Stein
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

10.  Motor asymmetry in elite fencers.

Authors:  Selcuk Akpinar; Robert L Sainburg; Sadettin Kirazci; Andrzej Przybyla
Journal:  J Mot Behav       Date:  2014-12-12       Impact factor: 1.328

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