Literature DB >> 17894267

Single limb performance following contralateral bimanual limb training.

Jamie Kaye Burgess1, Rachel Bareither, James L Patton.   

Abstract

Recent studies on intermanual transfer of reaching movements suggest that this transfer is conducted over an "extrinsic" coordinate system. We hypothesize that training reaching movements in a force field with both hands at the same time, in the same position (bimanual grip) will be more beneficial in promoting transfer of the learned skill to the dominant hand than training the unimpaired limb on the same movements in the same force field since the representation of the movement should be invariant of the limb. However, unlike intermanual transfer, bimanual transfer has the potential to involve infinite number of actuator combinations, or joint configurations, interfering with consistent transfer. The efficacy of this method of transfer has implications for people with hemiparesis since the less-affected arm could potentially "instruct" the more-affected arm how to move. Here, we report on an experiment that evaluates and compares the skill transfer between limbs in a reaching task: 1) intermanual transfer (from the nondominant to the dominant hand) and 2) bimanual transfer (from a bimanual grip to the dominant hand) with healthy subjects. We used two methods from which to judge the transfer: performance in the presence of the force field or by errors made during "catch trials" when the forces were unexpectedly removed as subjects changed hands (known as after effects of adaptation). We found only a small amount of transfer (20% of that seen in the practiced limb) with both types of training, and surprisingly there was no significant difference in the movement accuracy between these two training methods. Moreover, the direction of the after effects supports the assertion that the nervous system generalizes these movements in an extrinsic coordinate system. Accordingly, the limb must experience the dynamics singularly in order to develop an internal model.

Entities:  

Mesh:

Year:  2007        PMID: 17894267     DOI: 10.1109/TNSRE.2007.903908

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  12 in total

1.  Generalizing movement patterns following shoulder fixation.

Authors:  Rodrigo S Maeda; Julia M Zdybal; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurophysiol       Date:  2020-02-26       Impact factor: 2.714

2.  Cortical and behavioral adaptations in response to short-term inphase versus antiphase bimanual movement training.

Authors:  Alison L Smith; W Richard Staines
Journal:  Exp Brain Res       Date:  2010-08-14       Impact factor: 1.972

3.  Composition and decomposition in bimanual dynamic learning.

Authors:  Ian S Howard; James N Ingram; Daniel M Wolpert
Journal:  J Neurosci       Date:  2008-10-15       Impact factor: 6.167

4.  Skill transfer from symmetric and asymmetric bimanual training using a robotic system to single limb performance.

Authors:  Matic Trlep; Matjaž Mihelj; Marko Munih
Journal:  J Neuroeng Rehabil       Date:  2012-07-17       Impact factor: 4.262

5.  Bimanual elbow robotic orthoses: preliminary investigations on an impairment force-feedback rehabilitation method.

Authors:  Gil Herrnstadt; Nezam Alavi; Bubblepreet Kaur Randhawa; Lara A Boyd; Carlo Menon
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

6.  Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning.

Authors:  Max Berniker; David W Franklin; J Randall Flanagan; Daniel M Wolpert; Konrad Kording
Journal:  J Neurophysiol       Date:  2013-12-18       Impact factor: 2.714

7.  Estimating the sources of motor errors for adaptation and generalization.

Authors:  Max Berniker; Konrad Kording
Journal:  Nat Neurosci       Date:  2008-11-16       Impact factor: 24.884

8.  Substantial generalization of sensorimotor learning from bilateral to unilateral movement conditions.

Authors:  Jinsung Wang; Yuming Lei; Khongchee Xiong; Katie Marek
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

9.  Evidence of multiple coordinate representations during generalization of motor learning.

Authors:  Pritesh N Parmar; Felix C Huang; James L Patton
Journal:  Exp Brain Res       Date:  2014-09-24       Impact factor: 1.972

10.  Enhanced crosslimb transfer of force-field learning for dynamics that are identical in extrinsic and joint-based coordinates for both limbs.

Authors:  Timothy J Carroll; Aymar de Rugy; Ian S Howard; James N Ingram; Daniel M Wolpert
Journal:  J Neurophysiol       Date:  2015-11-18       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.