Literature DB >> 25339704

Adaptation to visual feedback delay in a redundant motor task.

Ali Farshchiansadegh1, Rajiv Ranganathan2, Maura Casadio3, Ferdinando A Mussa-Ivaldi4.   

Abstract

The goal of this study was to examine the reorganization of hand movements during adaptation to delayed visual feedback in a novel and redundant environment. In most natural behaviors, the brain must learn to invert a many-to-one map from high-dimensional joint movements and muscle forces to a low-dimensional goal. This spatial "inverse map" is learned by associating motor commands to their low-dimensional consequences. How is this map affected by the presence of temporal delays? A delay presents the brain with a new set of kinematic data, and, because of redundancy, the brain may use these data to form a new inverse map. We consider two possible responses to a novel visuomotor delay. In one case, the brain updates the previously learned spatial map, building a new association between motor commands and visual feedback of their effects. In the alternative case, the brain preserves the original map and learns to compensate the delay by a temporal shift of the motor commands. To test these alternative possibilities, we developed a virtual reality game in which subjects controlled the two-dimensional coordinates of a cursor by continuous hand gestures. Two groups of subjects tracked a target along predictable paths by wearing an instrumented data glove that recorded finger motions. The 19-dimensional glove signals controlled a cursor on a 2-dimensional computer display. The experiment was performed on 2 consecutive days. On the 1st day, subjects practiced tracking movements without delay. On the 2nd day, the test group performed the same task with a delay of 300 ms between the glove signals and the cursor display, whereas the control group continued practicing the nondelayed trials. We found evidence that to compensate for the delay, the test group relied on the coordination patterns established during the baseline, e.g., their hand-to-cursor inverse map was robust to the delay perturbation, which was counteracted by an anticipation of the motor command.
Copyright © 2015 the American Physiological Society.

Keywords:  adaptation; motor learning; redundancy; reorganization of movement; visual feedback delay

Mesh:

Year:  2014        PMID: 25339704     DOI: 10.1152/jn.00249.2014

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


  10 in total

1.  The absence or temporal offset of visual feedback does not influence adaptation to novel movement dynamics.

Authors:  Erin McKenna; Laurence C Jayet Bray; Weiwei Zhou; Wilsaan M Joiner
Journal:  J Neurophysiol       Date:  2017-08-09       Impact factor: 2.714

2.  State-Based Delay Representation and Its Transfer from a Game of Pong to Reaching and Tracking.

Authors:  Guy Avraham; Raz Leib; Assaf Pressman; Lucia S Simo; Amir Karniel; Lior Shmuelof; Ferdinando A Mussa-Ivaldi; Ilana Nisky
Journal:  eNeuro       Date:  2017-12-26

3.  Internal models for interpreting neural population activity during sensorimotor control.

Authors:  Matthew D Golub; Byron M Yu; Steven M Chase
Journal:  Elife       Date:  2015-12-08       Impact factor: 8.140

4.  Rapid control and feedback rates enhance neuroprosthetic control.

Authors:  Maryam M Shanechi; Amy L Orsborn; Helene G Moorman; Suraj Gowda; Siddharth Dangi; Jose M Carmena
Journal:  Nat Commun       Date:  2017-01-06       Impact factor: 14.919

5.  The Mechanical Representation of Temporal Delays.

Authors:  Raz Leib; Amir Karniel; Ferdinando A Mussa-Ivaldi
Journal:  Sci Rep       Date:  2017-08-09       Impact factor: 4.379

6.  Energy exchanges at contact events guide sensorimotor integration.

Authors:  Ali Farshchian; Alessandra Sciutti; Assaf Pressman; Ilana Nisky; Ferdinando A Mussa-Ivaldi
Journal:  Elife       Date:  2018-05-29       Impact factor: 8.140

7.  Goal-related feedback guides motor exploration and redundancy resolution in human motor skill acquisition.

Authors:  Marieke Rohde; Kenichi Narioka; Jochen J Steil; Lina K Klein; Marc O Ernst
Journal:  PLoS Comput Biol       Date:  2019-03-05       Impact factor: 4.475

8.  Age-dependent differences in learning to control a robot arm using a body-machine interface.

Authors:  Rajiv Ranganathan; Mei-Hua Lee; Malavika R Padmanabhan; Sanders Aspelund; Florian A Kagerer; Ranjan Mukherjee
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

9.  Efficacy of sitting balance training with delayed visual feedback among patients with stroke: a randomized crossover clinical trial.

Authors:  Kota Sawa; Kazu Amimoto; Abdul Chalik Meidian; Keisuke Ishigami; Takuya Miyamoto; Chika Setoyama; Rikuya Suzuki; Miko Tamura; Mitsusuke Miyagami
Journal:  J Phys Ther Sci       Date:  2022-08-03

10.  Guiding functional reorganization of motor redundancy using a body-machine interface.

Authors:  Dalia De Santis; Ferdinando A Mussa-Ivaldi
Journal:  J Neuroeng Rehabil       Date:  2020-05-11       Impact factor: 4.262

  10 in total

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