Literature DB >> 23312633

Motor learning principles for neurorehabilitation.

Tomoko Kitago1, John W Krakauer.   

Abstract

Neurorehabilitation is based on the assumption that motor learning contributes to motor recovery after injury. However, little is known about how learning itself is affected by brain injury, how learning mechanisms interact with spontaneous biological recovery, and how best to incorporate learning principles into rehabilitation training protocols. Here we distinguish between two types of motor learning, adaptation and skill acquisition, and discuss how they relate to neurorehabilitation. Functional recovery can occur through resolution of impairment (reacquisition of premorbid movement patterns) and through compensation (use of alternative movements or effectors to accomplish the same goal); both these forms of recovery respond to training protocols. The emphasis in current neurorehabilitation practice is on the rapid establishment of independence in activities of daily living through compensatory strategies, rather than on the reduction of impairment. Animal models, however, show that after focal ischemic damage there is a brief, approximately 3-4-week, window of heightened plasticity, which in combination with training protocols leads to large gains in motor function. Analogously, almost all recovery from impairment in humans occurs in the first 3 months after stroke, which suggests that targeting impairment in this time-window with intense motor learning protocols could lead to gains in function that are comparable in terms of effect size to those seen in animal models.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23312633     DOI: 10.1016/B978-0-444-52901-5.00008-3

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  88 in total

1.  To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning.

Authors:  Hannah Z Lefumat; Jean-Louis Vercher; R Chris Miall; Jonathan Cole; Frank Buloup; Lionel Bringoux; Christophe Bourdin; Fabrice R Sarlegna
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

Review 2.  Research in the Acute Rehabilitation Setting: a Bridge Too Far?

Authors:  Preeti Raghavan
Journal:  Curr Neurol Neurosci Rep       Date:  2019-01-16       Impact factor: 5.081

3.  Posture and gaze tracking of a vertically moving target reveals age-related constraints in visuo-motor coupling.

Authors:  H Sotirakis; A Kyvelidou; N Stergiou; V Hatzitaki
Journal:  Neurosci Lett       Date:  2017-06-16       Impact factor: 3.046

4.  Improvement of brain functional connectivity in autism spectrum disorder: an exploratory study on the potential use of virtual reality.

Authors:  Rosaria De Luca; Antonino Naro; Giuseppe Rao; Rocco Salvatore Calabrò; Pia Valentina Colucci; Federica Pranio; Giuseppe Tardiolo; Luana Billeri; Maria Le Cause; Carmela De Domenico; Simona Portaro
Journal:  J Neural Transm (Vienna)       Date:  2021-03-06       Impact factor: 3.575

5.  The effectiveness of robotic training depends on motor task characteristics.

Authors:  Laura Marchal-Crespo; Nicole Rappo; Robert Riener
Journal:  Exp Brain Res       Date:  2017-10-05       Impact factor: 1.972

6.  Building on NeuroNEXT: Next generation clinics to cure chronic neurological disability.

Authors:  Rajiv R Ratan
Journal:  Ann Neurol       Date:  2017-12-08       Impact factor: 10.422

7.  Interlimb transfer of motor skill learning during walking: No evidence for asymmetric transfer.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Manik Tetarbe
Journal:  Gait Posture       Date:  2017-04-27       Impact factor: 2.840

8.  GABA-induced motor improvement following acute cerebral infarction.

Authors:  Qingmei Chen; Jun Ke; Xiuying Cai; Haiwei Sun; Zhiguo Chen; Li Li; Min Su; Qi Fang
Journal:  Am J Transl Res       Date:  2020-12-15       Impact factor: 4.060

9.  Neural substrates underlying stimulation-enhanced motor skill learning after stroke.

Authors:  Stéphanie Lefebvre; Laurence Dricot; Patrice Laloux; Wojciech Gradkowski; Philippe Desfontaines; Frédéric Evrard; André Peeters; Jacques Jamart; Yves Vandermeeren
Journal:  Brain       Date:  2014-12-08       Impact factor: 13.501

10.  Aging affects postural tracking of complex visual motion cues.

Authors:  H Sotirakis; A Kyvelidou; L Mademli; N Stergiou; V Hatzitaki
Journal:  Exp Brain Res       Date:  2016-04-28       Impact factor: 1.972

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