Trial reportJournal of neurologic physical therapy : JNPT2019
Practice Structure and Locomotor Learning After Stroke.
Trial report in Journal of neurologic physical therapy : JNPT, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Locomotor adaptation on a split-belt treadmill in adults with stroke: a systematic review.Anales del sistema sanitario de Navarra · 2023Pooled it
- Effects of Gait Biofeedback Training on Spatiotemporal Gait Parameters in Stroke Survivors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Brain sciences · 2026Review
- Locomotor adaptation on a split-belt treadmill: mechanisms, modulation, and clinical utility.Journal of neurophysiology · 2026Review
- Author Response to Macpherson et al.Physical therapy · 2022Article
- Updates in Motor Learning: Implications for Physical Therapist Practice and Education.Physical therapy · 2022Article
- Study Paradigms and Principles Investigated in Motor Learning Research After Stroke: A Scoping Review.Archives of rehabilitation research and clinical translation · 2021Article
- Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.Current physical medicine and rehabilitation reports · 2020Article
- Perturbation-Based Balance Training in Postoperative Individuals With Degenerative Cervical Myelopathy.Frontiers in bioengineering and biotechnology · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
background and purposeThe optimal characteristics of learning to promote recovery of walking have yet to be defined for the poststroke population. We examined characteristics of task practice that limit or promote learning of a novel locomotor pattern.
methodsThirty-two persons with chronic hemiparesis were randomized to 2 conditions (constant and variable practice) and participated in two 15-minute sessions of split-belt treadmill walking. On day 1, subjects in the constant condition walked on the split-belt treadmill at a constant 2:1 speed ratio, while subjects in the variable condition walked on the split-belt treadmill at 3 different speed ratios. On day 2, both groups participated in 15 minutes of split-belt treadmill walking at the 2:1 speed ratio. Step length and limb phase symmetry metrics were measured to assess within-session learning (ie, adaptation) on day 1 and the ability to retain this new pattern of walking (ie, retention) on day 2.
resultsThe amount of adaptation on day 1 did not differ depending upon practice structure (constant and variable) for step length or limb phase (a)symmetry. The magnitude of reduction in asymmetry from day 1 to day 2 did not differ between groups for step and limb phase (a)symmetry. DISCUSSION AND
conclusionsThe results suggest that variable practice utilizing alternating belt speed ratios does not influence the ability of those with chronic stroke to adapt and retain a novel locomotor pattern. The effects of other forms of variable practice within other locomotor learning paradigms should be explored in those with chronic hemiparesis after stroke.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A257).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.