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Updated: May 10, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
Motor learning after stroke: what we've learned and what lies ahead
Ellen T Koch1,2,3, Sean P Dukelow1,2,3, Tyler Cluff1,3
1Faculty of Kinesiology, University of Calgary, Alberta T2N 1N4, Canada.
None:
Each year, there are millions of new stroke survivors globally. As many as 75% of stroke survivors will have impairments in moving their upper limb(s) that compromise daily activities like eating and grooming. Stroke rehabilitation practices often rely on motor learning principles to facilitate the recovery of motor function. Many principles applied in a therapy setting have been derived from studies involving healthy adults, even though stroke-related brain damage may alter these processes. Other studies have focused on the chronic stage of stroke recovery (>6 months post-stroke), despite most rehabilitation taking place in the first weeks and months post-stroke. It is unclear how motor learning and the underlying neuroplastic changes differ from early (acute and subacute) to late (chronic) stages of recovery. An evidence-based understanding of how motor learning is affected early after stroke, and how these changes interact with the course of motor recovery may hold promise for improving rehabilitation outcomes. In this review, we focus on two major categories of motor learning: motor skill learning and sensorimotor adaptation. We provide a comprehensive review of studies of stroke survivors, organized around a conceptual framework that examines how motor learning is impaired after stroke, what clinical and demographic factors interact with motor learning capacity, and where in the brain lesions are associated with poorer outcomes. We highlight key priorities for future research, including early post-stroke assessment of motor learning, large-scale longitudinal studies, standardized designs for comparability between studies and a better understanding of factors like reinforcement and explicit task instruction that may alter learning. We conclude with recommendations to help bridge the gap between motor learning research and stroke rehabilitation practice.
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