Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.

An accurate estimate of limb position is necessary for movement planning, before and after motor learning. Where we localize our unseen hand after a reach depends on felt hand position, or proprioception, but in studies and theories on motor adaptation this is quite often neglected in favour of pred...

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Main Authors: Ahmed A Mostafa, Bernard Marius 't Hart, Denise Y P Henriques
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0221861
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spelling doaj-b30a93cfb28a4aef82bf1510cffec9ec2021-03-03T21:08:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01148e022186110.1371/journal.pone.0221861Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.Ahmed A MostafaBernard Marius 't HartDenise Y P HenriquesAn accurate estimate of limb position is necessary for movement planning, before and after motor learning. Where we localize our unseen hand after a reach depends on felt hand position, or proprioception, but in studies and theories on motor adaptation this is quite often neglected in favour of predicted sensory consequences based on efference copies of motor commands. Both sources of information should contribute, so here we set out to further investigate how much of hand localization depends on proprioception and how much on predicted sensory consequences. We use a training paradigm combining robot controlled hand movements with rotated visual feedback that eliminates the possibility to update predicted sensory consequences ('exposure training'), but still recalibrates proprioception, as well as a classic training paradigm with self-generated movements in another set of participants. After each kind of training we measure participants' hand location estimates based on both efference-based predictions and afferent proprioceptive signals with self-generated hand movements ('active localization') as well as based on proprioception only with robot-generated movements ('passive localization'). In the exposure training group, we find indistinguishable shifts in passive and active hand localization, but after classic training, active localization shifts more than passive, indicating a contribution from updated predicted sensory consequences. Both changes in open-loop reaches and hand localization are only slightly smaller after exposure training as compared to after classic training, confirming that proprioception plays a large role in estimating limb position and in planning movements, even after adaptation. (data: https://doi.org/10.17605/osf.io/zfdth, preprint: https://doi.org/10.1101/384941).https://doi.org/10.1371/journal.pone.0221861
collection DOAJ
language English
format Article
sources DOAJ
author Ahmed A Mostafa
Bernard Marius 't Hart
Denise Y P Henriques
spellingShingle Ahmed A Mostafa
Bernard Marius 't Hart
Denise Y P Henriques
Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
PLoS ONE
author_facet Ahmed A Mostafa
Bernard Marius 't Hart
Denise Y P Henriques
author_sort Ahmed A Mostafa
title Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
title_short Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
title_full Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
title_fullStr Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
title_full_unstemmed Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
title_sort motor learning without moving: proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description An accurate estimate of limb position is necessary for movement planning, before and after motor learning. Where we localize our unseen hand after a reach depends on felt hand position, or proprioception, but in studies and theories on motor adaptation this is quite often neglected in favour of predicted sensory consequences based on efference copies of motor commands. Both sources of information should contribute, so here we set out to further investigate how much of hand localization depends on proprioception and how much on predicted sensory consequences. We use a training paradigm combining robot controlled hand movements with rotated visual feedback that eliminates the possibility to update predicted sensory consequences ('exposure training'), but still recalibrates proprioception, as well as a classic training paradigm with self-generated movements in another set of participants. After each kind of training we measure participants' hand location estimates based on both efference-based predictions and afferent proprioceptive signals with self-generated hand movements ('active localization') as well as based on proprioception only with robot-generated movements ('passive localization'). In the exposure training group, we find indistinguishable shifts in passive and active hand localization, but after classic training, active localization shifts more than passive, indicating a contribution from updated predicted sensory consequences. Both changes in open-loop reaches and hand localization are only slightly smaller after exposure training as compared to after classic training, confirming that proprioception plays a large role in estimating limb position and in planning movements, even after adaptation. (data: https://doi.org/10.17605/osf.io/zfdth, preprint: https://doi.org/10.1101/384941).
url https://doi.org/10.1371/journal.pone.0221861
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