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Motor learning in neurological rehabilitation
Abstract
While most upper limb training interventions in neurological rehabilitation are based on established principles of motor learning and neural plasticity, recovery potential may be improved if the focus includes remediating an individual's specific motor impairment within the framework of a motor control theory. This paper reviews current theories of motor control and motor learning and describes how they can be incorporated into training programs to enhance sensorimotor recovery in patients with neurological lesions. An emphasis is placed on dynamical systems theory and the use of new technologies such as virtual, augmented and mixed reality applications for rehabilitation to facilitate learning.Implications for RehabilitationKinematic abundance allows the healthy nervous system to produce different combinations of joint rotations to perform a desired task.The structure of practice to improve the movement repertoire in rehabilitation should take into account the kinematic abundance of the system.Learning can be enhanced by varied practice with feedback about key movement elements.Virtual reality environments provide opportunities to manipulate the structure and schedule of practice and feedback.
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“These considerations are in line with current knowledge of the impact of rehabilitation on cerebral plasticity and the modification of cortical motor control.65,66”
From Physiotherapy Education and Breathing Retraining for Patients With Hyperventilation Syndrome: An Observational Study (2026) · cites this paper as [65]
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Metadata
- Authors
- Levin, M. F., & Demers, M.
- Affiliations
- Jewish Rehabilitation Hospital (CA)
- University of Southern California (US)
- Corresponding author
- Levin, Mindy F.
- Venue
- Disability and Rehabilitation
- Publisher
- Informa UK Limited
- Published
- 2020-04-22
- Volume
- 43
- Issue
- 24
- Pages
- 3445-3453
- ISSN
- 0963-8288 (ISSN-L)
- 1464-5165
- OpenAlex
- W3017170620
- Cited by
- 198
- References
- 109
- Citations by year
- 2026: 35 · 2025: 55 · 2024: 43 · 2023: 35 · 2022: 21 · 2021: 8 · 2020: 1
- FWCI
- 1.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Disability and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fonds de la Recherche du Québec en Santé
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- motor learning, neurorehabilitation, motor control theory, dynamical systems theory, upper limb training, sensorimotor recovery, virtual reality, augmented reality, mixed reality, neuroplasticity, practice structure, movement feedback, motor impairment
- MeSH terms
- Neurological Rehabilitation, Stroke Rehabilitation, Virtual Reality, Humans, Movement, Neuronal Plasticity, Physical Therapy Modalities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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