Evidence map›Paper›PMID 42290198›Full record

ReviewNeurorehabilitation and neural repair2026

The Concept of Shaping Applied to Locomotor Interventions: Clinical and Robotic Strategies to Facilitate and Progress Variable Stepping Training at Higher Intensities.

Kelly P Westlake, Katherine Dudek, Anindo Roy, Christopher E Henderson, T George Hornby

Abstract readReview
In one paragraph

Review in Neurorehabilitation and neural repair, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kelly P WestlakeDepartment of Physical Therapy and Rehabilitation Science, University of Maryland, Baltimore, USA.
Katherine DudekDepartment of Physical Therapy and Rehabilitation Science, University of Maryland, Baltimore, USA.
Anindo RoyNextStep Robotics, Baltimore, MD, USA.
Christopher E HendersonDepartment of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, USA.ORCID 0000-0002-9464-2789
T George HornbyDepartment of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, USA.ORCID 0000-0002-3147-3818

Funding

Locomotor Recovery and Compensation Post-strokeR01NS118009 · NINDS · INDIANA UNIVERSITY INDIANAPOLIS · PI Thomas George Hornby · 2021 to 2026
$2.0M
Variable Intensive Early Walking post-Stroke (VIEWS)R01HD108622 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI Thomas George Hornby · 2023 to 2026
$1.9M
NICHD NIH HHS R01 HD108622NINDS NIH HHS R01 NS118009
6 · The paper itself

Abstract

High-intensity training (HIT) focused on stepping practice consistently improves clinical locomotor outcomes in individuals with neurologic injury. However, traditional HIT approaches typically do not target underlying impairments, and gains in non-locomotor tasks (ie, balance and transfers) or daily stepping are limited. One strategy to address these limitations involves providing HIT in variable contexts by progressively increasing locomotor demands across diverse environments while targeting specific biomechanical deficits (ie, limb-swing, propulsion, stance, and postural stability). This approach parallels the concept of "shaping" used successfully in constraint-induced movement therapy trials pioneered by Dr. Steven Wolf. The rapid progression of variable, difficult stepping tasks during HIT produces gains in multiple locomotor and non-locomotor outcomes, although, importantly, the accelerated progression of task demands and acceptance of movement variability represent key departures from conventional rehabilitation frameworks emphasizing gait quality. Together, this focus on progression and variability is likely responsible for the observed gains. In this issue honoring Dr. Steven Wolf, we delineate the shaping principles applied to locomotor rehabilitation following neurologic injury. We outline the rationale for HIT in variable contexts, explain how biomechanical targeting guides intervention progression, and present evidence detailing its observed efficacy in improving clinical and community mobility outcomes. We also describe how advanced robotic technology can further enhance locomotor outcomes by applying progressive resistance to target specific locomotor deficits. By integrating principles of biomechanics with long-standing theories in motor learning, we believe HIT in variable contexts can further harness the neural plasticity of the nervous system to maximize locomotor function following neurologic injury.

Indexed as

Exercise TherapyLocomotionNeurological RehabilitationRoboticsBiomechanical PhenomenaHumansgaitlocomotionrehabilitation

Identifiers

PMID42290198
PMCPMC13271171

What OpenQuestion holds

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Registered trials

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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.