Literature DB >> 29709206

Closing the Loop: From Motor Neuroscience to Neurorehabilitation.

Ryan T Roemmich1,2, Amy J Bastian1,3.   

Abstract

The fields of human motor control, motor learning, and neurorehabilitation have long been linked by the intuition that understanding how we move (and learn to move) leads to better rehabilitation. In reality, these fields have remained largely separate. Our knowledge of the neural control of movement has expanded, but principles that can directly impact rehabilitation efficacy remain somewhat sparse. This raises two important questions: What can basic studies of motor learning really tell us about rehabilitation, and are we asking the right questions to improve the lives of patients? This review aims to contextualize recent advances in computational and behavioral studies of human motor learning within the framework of neurorehabilitation. We also discuss our views of the current challenges facing rehabilitation and outline potential clinical applications from recent theoretical and basic studies of motor learning and control.

Entities:  

Keywords:  gait; motor control; motor learning; neurorehabilitation; reaching; rehabilitation

Mesh:

Year:  2018        PMID: 29709206     DOI: 10.1146/annurev-neuro-080317-062245

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  17 in total

1.  Visuomotor errors drive step length and step time adaptation during 'virtual' split-belt walking: the effects of reinforcement feedback.

Authors:  Sumire Sato; Ashley Cui; Julia T Choi
Journal:  Exp Brain Res       Date:  2021-11-23       Impact factor: 1.972

2.  Concerns in the Blurred Divisions between Medical and Consumer Neurotechnology.

Authors:  Andrew Y Paek; Justin A Brantley; Barbara J Evans; Jose L Contreras-Vidal
Journal:  IEEE Syst J       Date:  2020-12-18       Impact factor: 4.802

3.  Increased speech contrast induced by sensorimotor adaptation to a nonuniform auditory perturbation.

Authors:  Benjamin Parrell; Caroline A Niziolek
Journal:  J Neurophysiol       Date:  2020-12-23       Impact factor: 2.714

4.  Beyond Motor Noise: Considering Other Causes of Impaired Reinforcement Learning in Cerebellar Patients.

Authors:  Pierre Vassiliadis; Gerard Derosiere; Julie Duque
Journal:  eNeuro       Date:  2019-02-22

5.  Feedback Adaptation to Unpredictable Force Fields in 250 ms.

Authors:  Frédéric Crevecoeur; James Mathew; Marie Bastin; Philippe Lefèvre
Journal:  eNeuro       Date:  2020-04-29

6.  Updates in Motor Learning: Implications for Physical Therapist Practice and Education.

Authors:  Kristan A Leech; Ryan T Roemmich; James Gordon; Darcy S Reisman; Kendra M Cherry-Allen
Journal:  Phys Ther       Date:  2022-01-01

7.  Long-Term Motor Learning in the "Wild" With High Volume Video Game Data.

Authors:  Jennifer B Listman; Jonathan S Tsay; Hyosub E Kim; Wayne E Mackey; David J Heeger
Journal:  Front Hum Neurosci       Date:  2021-12-20       Impact factor: 3.169

8.  Unilateral step training can drive faster learning of novel gait patterns.

Authors:  Christine N Song; Jan Stenum; Kristan A Leech; Chloe K Keller; Ryan T Roemmich
Journal:  Sci Rep       Date:  2020-10-29       Impact factor: 4.379

9.  Reward boosts reinforcement-based motor learning.

Authors:  Pierre Vassiliadis; Gerard Derosiere; Cecile Dubuc; Aegryan Lete; Frederic Crevecoeur; Friedhelm C Hummel; Julie Duque
Journal:  iScience       Date:  2021-07-07

10.  Altered active control of step width in response to mediolateral leg perturbations while walking.

Authors:  Nicholas K Reimold; Holly A Knapp; Rachel E Henderson; Landi Wilson; Alyssa N Chesnutt; Jesse C Dean
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.996

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