Evidence map›Paper›PMID 42638740›Full record

ArticleFrontiers in aging neuroscience2026

Spatiotemporal gait parameters during turning differ in Parkinson's disease patients with and without freezing of gait.

Julian Madrid, Baptiste Ulrich-Ischer, Mischa Selig, Brigitte M Jolles, Julien Favre, David H Benninger

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Julian MadridDepartment of Clinical Neuroscience, Centre Service of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Baptiste Ulrich-IscherDepartment of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Mischa SeligDepartment of Orthopedics and Trauma Surgery, G.E.R.N. Research Center for Tissue Replacement, Regeneration & Neogenesis, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Brigitte M JollesDepartment of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Julien FavreDepartment of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
David H BenningerDepartment of Clinical Neuroscience, Centre Service of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Turning is a complex locomotor task that can accentuate gait impairments and precipitate freezing of gait (FOG) in Parkinson's disease (PD). However, gait-derived spatiotemporal parameters during inter-episodic turning remain incompletely characterized. We compared turning-related gait patterns among healthy older adults, patients with PD without FOG, and patients with PD and a history of FOG. Methods: Ten healthy older controls, 10 patients with PD without FOG (PD-P), and 10 patients with PD and FOG (FOG-P) performed 90°, 180°, and 360° turns while undergoing optical motion capture. Spatiotemporal gait parameters were analyzed using Bayesian generalized linear models. Trials containing observable FOG episodes were excluded; consequently, the analyses represent inter-episodic turning rather than freezing episodes themselves. Results: Compared with controls, PD-P participants demonstrated reduced stride width of the internal leg and increased stride width of the external leg, whereas FOG-P participants demonstrated shorter step and stride lengths. Both PD groups predominantly used step-out or mixed turning strategies and required more time and steps to complete larger-amplitude turns. Discussion: Gait-derived spatial parameters during turning differed between the PD groups. PD-P participants showed more pronounced mediolateral foot-placement differences, whereas FOG-P participants showed more pronounced reductions in anteroposterior step and stride length. Because the groups differed in overall motor severity and the analyses were intentionally restricted to inter-episodic turning, these findings should be interpreted as descriptive turning gait patterns in patients with a history of FOG rather than as evidence of FOG-specific mechanisms.

Indexed as

freezing of gaitgaithealthy elderly controlsParkinson’s diseaseturningvariability

Identifiers

PMID42638740
PMCPMC13500623

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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.