Literature DB >> 22255891

Simultaneous coordinate representations are influenced by visual feedback in a motor learning task.

Pritesh N Parmar1, Felix C Huang, James L Patton.   

Abstract

It has been widely accepted that the CNS develops a representation (model) of the environment, but what is not entirely clear is the coordinate reference frame used. We explored how visual feedback influenced the coordinate frame in which the CNS stores and recalls these memories of learned skills in a reaching-generalization task. Four groups of subjects trained to perform reaching movements in a perturbing force field, two with aligned (first person) visual feedback and two with non-aligned (vertical screen). After 170 trials of practice, we asked subjects to extrapolate (generalize) what they learned to a new part of the workspace in novel force environments (endpoint-based versus joint-based extrapolated force fields). Regardless of the test condition, all subjects improved their ability to generalize skills to the new workspace. There was evidence that the extrapolation of their learned skills was based on both object-centered and joint-based coordinates. Consistent with previous studies, subjects performed significantly better in joint-extrapolated force field, but only if the visual feedback was vertical. Subjects performed equivalently in both force fields with aligned (first person) feedback. These findings suggest that the type of visual feedback biases the way subjects perform, and that learning results can be significantly influenced by feedback.

Entities:  

Mesh:

Year:  2011        PMID: 22255891      PMCID: PMC8734938          DOI: 10.1109/IEMBS.2011.6091668

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  33 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.  Spatial generalization from learning dynamics of reaching movements.

Authors:  R Shadmehr; Z M Moussavi
Journal:  J Neurosci       Date:  2000-10-15       Impact factor: 6.167

3.  Visuomotor rotations of varying size and direction compete for a single internal model in motor working memory.

Authors:  Virginia Wigmore; Christine Tong; J Randall Flanagan
Journal:  J Exp Psychol Hum Percept Perform       Date:  2002-04       Impact factor: 3.332

4.  Multiple paired forward and inverse models for motor control.

Authors:  D M Wolpert; M Kawato
Journal:  Neural Netw       Date:  1998-10

5.  Transfer of motor learning across arm configurations.

Authors:  Nicole Malfait; Douglas M Shiller; David J Ostry
Journal:  J Neurosci       Date:  2002-11-15       Impact factor: 6.167

6.  Adaptation to changes in vertical display gain during handwriting in Parkinson's disease patients, elderly and young controls.

Authors:  José L Contreras-Vidal; Hans Leo Teulings; George E Stelmach; Charles H Adler
Journal:  Parkinsonism Relat Disord       Date:  2002-12       Impact factor: 4.891

7.  Common encoding of novel dynamic loads applied to the hand and arm.

Authors:  Paul R Davidson; Daniel M Wolpert; Stephen H Scott; J Randall Flanagan
Journal:  J Neurosci       Date:  2005-06-01       Impact factor: 6.167

8.  Temporal and amplitude generalization in motor learning.

Authors:  S J Goodbody; D M Wolpert
Journal:  J Neurophysiol       Date:  1998-04       Impact factor: 2.714

9.  Adaptive representation of dynamics during learning of a motor task.

Authors:  R Shadmehr; F A Mussa-Ivaldi
Journal:  J Neurosci       Date:  1994-05       Impact factor: 6.167

10.  Consolidation in human motor memory.

Authors:  T Brashers-Krug; R Shadmehr; E Bizzi
Journal:  Nature       Date:  1996-07-18       Impact factor: 49.962

View more
  8 in total

1.  Relative efficacy of various strategies for visual feedback in standing balance activities.

Authors:  Michael W Kennedy; Charles R Crowell; Aaron D Striegel; Michael Villano; James P Schmiedeler
Journal:  Exp Brain Res       Date:  2013-07-09       Impact factor: 1.972

2.  Critical brain regions for tool-related and imitative actions: a componential analysis.

Authors:  Laurel J Buxbaum; Allison D Shapiro; H Branch Coslett
Journal:  Brain       Date:  2014-04-27       Impact factor: 13.501

3.  Did I do that? Detecting a perturbation to visual feedback in a reaching task.

Authors:  Elon Gaffin-Cahn; Todd E Hudson; Michael S Landy
Journal:  J Vis       Date:  2019-01-02       Impact factor: 2.240

4.  Conceptual- and production-related predictors of pantomimed tool use deficits in apraxia.

Authors:  S A Jax; D L Rosa-Leyra; L J Buxbaum
Journal:  Neuropsychologia       Date:  2014-08-05       Impact factor: 3.139

5.  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

Review 6.  On the assessment of coordination between upper extremities: towards a common language between rehabilitation engineers, clinicians and neuroscientists.

Authors:  Camila Shirota; Jelka Jansa; Javier Diaz; Sivakumar Balasubramanian; Stefano Mazzoleni; N Alberto Borghese; Alejandro Melendez-Calderon
Journal:  J Neuroeng Rehabil       Date:  2016-09-08       Impact factor: 4.262

7.  Physical Therapy for a Patient with Essential Tremor and Prolonged Deep Brain Stimulation: A Case Report.

Authors:  Elizabeth A Ulanowski; Megan M Danzl; Kara M Sims
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2017-03-15

8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.