Evidence map›Paper›PMID 41293482›Full record

ArticleFrontiers in human neuroscience2025

The effects of weight-bearing manipulations on gait and its underlying neural control mechanisms in toe walking children.

Michelle Gwerder, Rosa M S Visscher, Anusha Spescha, Seyyed H Hosseini Nasab, Yong K Kim, Regine Zibold, Reinald Brunner, William R Taylor, Elke Viehweger, Navrag B Singh

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Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Michelle GwerderLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Rosa M S VisscherLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Anusha SpeschaLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Seyyed H Hosseini NasabLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Yong K KimLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Regine ZiboldDepartment of Biomedical Engineering, University of Basel, Basel, Switzerland.
Reinald BrunnerDepartment of Biomedical Engineering, University of Basel, Basel, Switzerland.
William R TaylorLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Elke ViehwegerDepartment of Biomedical Engineering, University of Basel, Basel, Switzerland.
Navrag B SinghLaboratory for Movement Biomechanics, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In toe walking children, impaired maturation of neuromotor control often leads to persistent use of immature motor programs. Understanding the underlying etiology of toe walking in children with cerebral palsy (CP) and idiopathic toe walking (ITW) is crucial for advancing rehabilitation strategies. This study examined gait adaptations and H-reflex responses to varied weight-bearing conditions to determine whether children with ITW and CP exhibit distinct neuromotor control strategies compared to typically developing (TD) peers. Methods: Eight children with CP (mean age 12.9 ± 2.1 years), eight with ITW (8.6 ± 1.9 years), and 19 TD children (10.0 ± 2.6 years) walked on a treadmill under three conditions: normal bodyweight, 30% bodyweight unloading, and 30% additional bodyweight. Linear mixed-effects models assessed spatiotemporal gait parameters, margin of stability, gait variability, and H-reflex responses. Results: Bodyweight unloading increased single-limb support time, while reducing double-limb support time and antero-posterior margin of stability across groups ( Discussion: The findings of this exploratory study suggest that toe walking is associated with distinct adaptive strategies in ITW and CP children to compensate for environmental challenges. In ITW, increased variability under bodyweight unloading may reflect exploratory motor control, whereas CP children relied on stiffening strategies, marked by reduced variability and hyperreflexia, indicating limited adaptability and less efficient gait patterns. These results imply that similar biomechanical constraints evoke divergent neuromotor adaptations in ITW and CP children.

Indexed as

dynamic stabilityH-reflexmargin of stabilityneuromotor controltoe walkingweight loading and unloading

Identifiers

PMID41293482
PMCPMC12640939

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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.