Literature DB >> 26334018

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

Hannah Z Lefumat1, Jean-Louis Vercher1, R Chris Miall2, Jonathan Cole3, Frank Buloup1, Lionel Bringoux1, Christophe Bourdin1, Fabrice R Sarlegna4.   

Abstract

Humans can remarkably adapt their motor behavior to novel environmental conditions, yet it remains unclear which factors enable us to transfer what we have learned with one limb to the other. Here we tested the hypothesis that interlimb transfer of sensorimotor adaptation is determined by environmental conditions but also by individual characteristics. We specifically examined the adaptation of unconstrained reaching movements to a novel Coriolis, velocity-dependent force field. Right-handed subjects sat at the center of a rotating platform and performed forward reaching movements with the upper limb toward flashed visual targets in prerotation, per-rotation (i.e., adaptation), and postrotation tests. Here only the dominant arm was used during adaptation and interlimb transfer was assessed by comparing performance of the nondominant arm before and after dominant-arm adaptation. Vision and no-vision conditions did not significantly influence interlimb transfer of trajectory adaptation, which on average was significant but limited. We uncovered a substantial heterogeneity of interlimb transfer across subjects and found that interlimb transfer can be qualitatively and quantitatively predicted for each healthy young individual. A classifier showed that in our study, interlimb transfer could be predicted based on the subject's task performance, most notably motor variability during learning, and his or her laterality quotient. Positive correlations suggested that variability of motor performance and lateralization of arm movement control facilitate interlimb transfer. We further show that these individual characteristics can predict the presence and the magnitude of interlimb transfer of left-handers. Overall, this study suggests that individual characteristics shape the way the nervous system can generalize motor learning.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  cross-limb education; intermanual transfer; reaching arm movements; sensorimotor adaptation

Mesh:

Year:  2015        PMID: 26334018      PMCID: PMC4644229          DOI: 10.1152/jn.00749.2015

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


  60 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

2.  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

3.  Is interlimb transfer of force-field adaptation a cognitive response to the sudden introduction of load?

Authors:  Nicole Malfait; David J Ostry
Journal:  J Neurosci       Date:  2004-09-15       Impact factor: 6.167

4.  Generalization and transfer of contextual cues in motor learning.

Authors:  A M E Sarwary; D F Stegeman; L P J Selen; W P Medendorp
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

5.  Trial-by-trial analysis of intermanual transfer during visuomotor adaptation.

Authors:  Jordan A Taylor; Greg J Wojaczynski; Richard B Ivry
Journal:  J Neurophysiol       Date:  2011-09-14       Impact factor: 2.714

6.  Regional cerebral blood flow changes of cortical motor areas and prefrontal areas in humans related to ipsilateral and contralateral hand movement.

Authors:  R Kawashima; K Yamada; S Kinomura; T Yamaguchi; H Matsui; S Yoshioka; H Fukuda
Journal:  Brain Res       Date:  1993-09-24       Impact factor: 3.252

7.  Degree of handedness affects intermanual transfer of skill learning.

Authors:  Cori Chase; Rachael Seidler
Journal:  Exp Brain Res       Date:  2008-07-01       Impact factor: 1.972

8.  The contribution of visual feedback to visuomotor adaptation: how much and when?

Authors:  Mark R Hinder; James R Tresilian; Stephan Riek; Richard G Carson
Journal:  Brain Res       Date:  2008-01-11       Impact factor: 3.252

9.  Motor task variation induces structural learning.

Authors:  Daniel A Braun; Ad Aertsen; Daniel M Wolpert; Carsten Mehring
Journal:  Curr Biol       Date:  2009-02-12       Impact factor: 10.834

Review 10.  Convergent models of handedness and brain lateralization.

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

1.  Lateralized motor control processes determine asymmetry of interlimb transfer.

Authors:  Robert L Sainburg; Sydney Y Schaefer; Vivek Yadav
Journal:  Neuroscience       Date:  2016-08-02       Impact factor: 3.590

2.  Opposing force fields induce direction-specific sensorimotor adaptation but a non-specific perceptual shift consistent with a contraction of peripersonal space representation.

Authors:  Nicolas X Leclere; Fabrice R Sarlegna; Yann Coello; Christophe Bourdin
Journal:  Exp Brain Res       Date:  2020-10-23       Impact factor: 1.972

3.  Interlimb transfer of motor skill learning during walking: No evidence for asymmetric transfer.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Manik Tetarbe
Journal:  Gait Posture       Date:  2017-04-27       Impact factor: 2.840

4.  Simulated practice effects on the transfer and retention of gait sequences from the upper to the lower extremity.

Authors:  Mohammad R Saeedpour-Parizi; Surabhi Shripad Date; Luis Dominguez; Tayebeh Baniasadi; John B Shea
Journal:  Exp Brain Res       Date:  2022-07-14       Impact factor: 2.064

5.  Effect of repeated explicit instructions on visuomotor adaptation and intermanual transfer.

Authors:  Susen Werner; Heiko K Strüder
Journal:  Exp Brain Res       Date:  2022-09-27       Impact factor: 2.064

6.  Effect of coordinate frame compatibility on the transfer of implicit and explicit learning across limbs.

Authors:  Eugene Poh; Timothy J Carroll; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2016-06-22       Impact factor: 2.714

7.  Interference between competing motor memories developed through learning with different limbs.

Authors:  Neeraj Kumar; Adarsh Kumar; Bhoomika Sonane; Pratik K Mutha
Journal:  J Neurophysiol       Date:  2018-05-23       Impact factor: 2.714

8.  Consecutive learning of opposing unimanual motor tasks using the right arm followed by the left arm causes intermanual interference.

Authors:  Christian Stockinger; Benjamin Thürer; Thorsten Stein
Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.240

9.  Sensorimotor Reorganizations of Arm Kinematics and Postural Strategy for Functional Whole-Body Reaching Movements in Microgravity.

Authors:  Thomas Macaluso; Christophe Bourdin; Frank Buloup; Marie-Laure Mille; Patrick Sainton; Fabrice R Sarlegna; Jean-Louis Vercher; Lionel Bringoux
Journal:  Front Physiol       Date:  2017-10-20       Impact factor: 4.566

10.  Proprioceptive loss and the perception, control and learning of arm movements in humans: evidence from sensory neuronopathy.

Authors:  R Chris Miall; Nick M Kitchen; Se-Ho Nam; Hannah Lefumat; Alix G Renault; Kristin Ørstavik; Jonathan D Cole; Fabrice R Sarlegna
Journal:  Exp Brain Res       Date:  2018-05-19       Impact factor: 1.972

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