Literature DB >> 26490869

Somatosensory Contribution to the Initial Stages of Human Motor Learning.

Nicolò F Bernardi1, Mohammad Darainy1, David J Ostry2.   

Abstract

The early stages of motor skill acquisition are often marked by uncertainty about the sensory and motor goals of the task, as is the case in learning to speak or learning the feel of a good tennis serve. Here we present an experimental model of this early learning process, in which targets are acquired by exploration and reinforcement rather than sensory error. We use this model to investigate the relative contribution of motor and sensory factors to human motor learning. Participants make active reaching movements or matched passive movements to an unseen target using a robot arm. We find that learning through passive movements paired with reinforcement is comparable with learning associated with active movement, both in terms of magnitude and durability, with improvements due to training still observable at a 1 week retest. Motor learning is also accompanied by changes in somatosensory perceptual acuity. No stable changes in motor performance are observed for participants that train, actively or passively, in the absence of reinforcement, or for participants who are given explicit information about target position in the absence of somatosensory experience. These findings indicate that the somatosensory system dominates learning in the early stages of motor skill acquisition. SIGNIFICANCE STATEMENT: The research focuses on the initial stages of human motor learning, introducing a new experimental model that closely approximates the key features of motor learning outside of the laboratory. The finding indicates that it is the somatosensory system rather than the motor system that dominates learning in the early stages of motor skill acquisition. This is important given that most of our computational models of motor learning are based on the idea that learning is motoric in origin. This is also a valuable finding for rehabilitation of patients with limited mobility as it shows that reinforcement in conjunction with passive movement results in benefits to motor learning that are as great as those observed for active movement training.
Copyright © 2015 the authors 0270-6474/15/3514316-11$15.00/0.

Entities:  

Keywords:  motor learning; motor skill learning; passive movements; reinforcement; somatosensory perception

Mesh:

Year:  2015        PMID: 26490869      PMCID: PMC4683690          DOI: 10.1523/JNEUROSCI.1344-15.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  24 in total

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2.  Motor learning elicited by voluntary drive.

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3.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
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4.  Perceptual learning in sensorimotor adaptation.

Authors:  Mohammad Darainy; Shahabeddin Vahdat; David J Ostry
Journal:  J Neurophysiol       Date:  2013-08-21       Impact factor: 2.714

5.  Rapid plasticity of human cortical movement representation induced by practice.

Authors:  J Classen; J Liepert; S P Wise; M Hallett; L G Cohen
Journal:  J Neurophysiol       Date:  1998-02       Impact factor: 2.714

6.  How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching.

Authors:  Timothy Verstynen; Philip N Sabes
Journal:  J Neurosci       Date:  2011-07-06       Impact factor: 6.167

7.  The effects of training breadth on motor generalization.

Authors:  Max Berniker; Hamid Mirzaei; Konrad P Kording
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

8.  Functionally specific changes in resting-state sensorimotor networks after motor learning.

Authors:  Shahabeddin Vahdat; Mohammad Darainy; Theodore E Milner; David J Ostry
Journal:  J Neurosci       Date:  2011-11-23       Impact factor: 6.167

9.  Use-dependent and error-based learning of motor behaviors.

Authors:  Jörn Diedrichsen; Olivier White; Darren Newman; Níall Lally
Journal:  J Neurosci       Date:  2010-04-14       Impact factor: 6.167

10.  Overcoming motor "forgetting" through reinforcement of learned actions.

Authors:  Lior Shmuelof; Vincent S Huang; Adrian M Haith; Raymond J Delnicki; Pietro Mazzoni; John W Krakauer
Journal:  J Neurosci       Date:  2012-10-17       Impact factor: 6.167

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  24 in total

1.  Somatosensory cortical excitability changes precede those in motor cortex during human motor learning.

Authors:  Hiroki Ohashi; Paul L Gribble; David J Ostry
Journal:  J Neurophysiol       Date:  2019-08-07       Impact factor: 2.714

2.  Motor Learning Enhances Use-Dependent Plasticity.

Authors:  Firas Mawase; Shintaro Uehara; Amy J Bastian; Pablo Celnik
Journal:  J Neurosci       Date:  2017-01-31       Impact factor: 6.167

3.  Somatic and Reinforcement-Based Plasticity in the Initial Stages of Human Motor Learning.

Authors:  Ananda Sidarta; Shahabeddin Vahdat; Nicolò F Bernardi; David J Ostry
Journal:  J Neurosci       Date:  2016-11-16       Impact factor: 6.167

4.  Early stages of sensorimotor map acquisition: learning with free exploration, without active movement or global structure.

Authors:  F T van Vugt; D J Ostry
Journal:  J Neurophysiol       Date:  2019-08-21       Impact factor: 2.714

5.  Movements following force-field adaptation are aligned with altered sense of limb position.

Authors:  Hiroki Ohashi; Ruy Valle-Mena; Paul L Gribble; David J Ostry
Journal:  Exp Brain Res       Date:  2019-03-12       Impact factor: 1.972

6.  The relationships between motor behavior and sensory gating in the ball rotation task.

Authors:  Mayu Akaiwa; Yuya Matsuda; Yuta Soma; Eriko Shibata; Hidekazu Saito; Takeshi Sasaki; Kazuhiro Sugawara
Journal:  Exp Brain Res       Date:  2022-08-11       Impact factor: 2.064

7.  Somatosensory working memory in human reinforcement-based motor learning.

Authors:  Ananda Sidarta; Floris T van Vugt; David J Ostry
Journal:  J Neurophysiol       Date:  2018-10-24       Impact factor: 2.714

Review 8.  Sensory Plasticity in Human Motor Learning.

Authors:  David J Ostry; Paul L Gribble
Journal:  Trends Neurosci       Date:  2016-01-13       Impact factor: 13.837

9.  Shared somatosensory and motor functions in musicians.

Authors:  Moe Hosoda; Shinichi Furuya
Journal:  Sci Rep       Date:  2016-11-25       Impact factor: 4.379

10.  Dissociating error-based and reinforcement-based loss functions during sensorimotor learning.

Authors:  Joshua G A Cashaback; Heather R McGregor; Ayman Mohatarem; Paul L Gribble
Journal:  PLoS Comput Biol       Date:  2017-07-28       Impact factor: 4.475

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