Literature DB >> 28835524

Distinct coordinate systems for adaptations of movement direction and extent.

Eugene Poh1,2, Timothy J Carroll2, Aymar de Rugy3,4.   

Abstract

Learned compensations for perturbed visual feedback of movement extent and direction generalize differently to unpracticed movement directions, which suggests different underlying neural mechanisms. Here we investigated whether gain and rotation adaptations are consistent with representation in different coordinate systems. Subjects performed a force-aiming task with the wrist and learned different gains or rotations for different force directions. Generalization was tested without visual feedback for the same extrinsic directions but with the forearm in a different pronation-supination orientation. When the change in forearm orientation caused the adapted visuomotor map to conflict in extrinsic and joint-based coordinates, rotation generalization occurred in extrinsic coordinates but with reduced magnitude. In contrast, gain generalization appeared reduced and phase shifted. When the forearm was rotated further, such that all imposed perturbations aligned in both joint-based and extrinsic coordinates in both postures, rotation generalization was further reduced, whereas there was neither reduction nor phase shift in the pattern of extent generalization. These results show that rotation generalization was expressed in extrinsic coordinates, and that generalization magnitude was modulated by posture. In contrast, gain generalization appeared to depend on target direction defined by an integrated combination of extrinsic and joint-based coordinates and was not reduced substantially by posture changes alone. Although the quality of the model fit underlying our interpretation prevents us from making strong conclusions, the data suggest that adaptations of movement direction and extent are represented according to distinct coordinate systems.NEW & NOTEWORTHY Visuomotor gain and rotation adaptations generalize differently to novel movement directions, which suggests different neural mechanisms. When extrinsic and joint-based coordinates are effectively dissociated in an isometric aiming task, we find that they also generalize in different coordinate systems. Specifically, rotation generalized in extrinsic coordinates and decayed as posture departed from that adopted during adaptation. In contrast, gain generalization was expressed according to mixed extrinsic/joint-based coordinates and was not substantially reduced by postural changes.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  coordinate frames; motor learning; sensorimotor adaptation; visuomotor gain; visuomotor rotation

Mesh:

Year:  2017        PMID: 28835524      PMCID: PMC5672543          DOI: 10.1152/jn.00326.2016

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


  36 in total

1.  The generalization of visuomotor learning to untrained movements and movement sequences based on movement vector and goal location remapping.

Authors:  Howard G Wu; Maurice A Smith
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

Review 2.  The posterior parietal cortex: sensorimotor interface for the planning and online control of visually guided movements.

Authors:  Christopher A Buneo; Richard A Andersen
Journal:  Neuropsychologia       Date:  2005-11-21       Impact factor: 3.139

3.  Modular decomposition in visuomotor learning.

Authors:  Z Ghahramani; D M Wolpert
Journal:  Nature       Date:  1997-03-27       Impact factor: 49.962

4.  Learning not to generalize: modular adaptation of visuomotor gain.

Authors:  Toni S Pearson; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

5.  Formation of a long-term memory for visuomotor adaptation following only a few trials of practice.

Authors:  David M Huberdeau; Adrian M Haith; John W Krakauer
Journal:  J Neurophysiol       Date:  2015-06-10       Impact factor: 2.714

6.  Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states.

Authors:  Ian S Howard; James N Ingram; David W Franklin; Daniel M Wolpert
Journal:  J Neurosci       Date:  2012-09-12       Impact factor: 6.167

7.  Three timescales in prism adaptation.

Authors:  Masato Inoue; Motoaki Uchimura; Ayaka Karibe; Jacinta O'Shea; Yves Rossetti; Shigeru Kitazawa
Journal:  J Neurophysiol       Date:  2014-10-08       Impact factor: 2.714

8.  Changes in wrist muscle activity with forearm posture: implications for the study of sensorimotor transformations.

Authors:  Aymar de Rugy; Rahman Davoodi; Timothy J Carroll
Journal:  J Neurophysiol       Date:  2012-09-12       Impact factor: 2.714

9.  Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations.

Authors:  Jordan B Brayanov; Daniel Z Press; Maurice A Smith
Journal:  J Neurosci       Date:  2012-10-24       Impact factor: 6.167

10.  Unlearning versus savings in visuomotor adaptation: comparing effects of washout, passage of time, and removal of errors on motor memory.

Authors:  Tomoko Kitago; Sophia L Ryan; Pietro Mazzoni; John W Krakauer; Adrian M Haith
Journal:  Front Hum Neurosci       Date:  2013-06-28       Impact factor: 3.169

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  2 in total

1.  Generalization via superposition: combined effects of mixed reference frame representations for explicit and implicit learning in a visuomotor adaptation task.

Authors:  Eugene Poh; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2019-04-03       Impact factor: 2.714

2.  Increase in weighting of vision vs. proprioception associated with force field adaptation.

Authors:  Brandon M Sexton; Yang Liu; Hannah J Block
Journal:  Sci Rep       Date:  2019-07-15       Impact factor: 4.379

  2 in total

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