ArticleScientific reports2021
Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026Review
- Moving beyond the hospital: in-depth characterization of daily-life mobility in patients with atypical Parkinsonian disorders.NPJ Parkinson's disease · 2026Article
- From clinical phenotypes to molecular precision: multimodal biomarkers for progressive supranuclear palsy.Frontiers in neuroscience · 2026Review
- Characterizing Stair Ambulation Kinetics and the Effects of Dual Tasking in Parkinson's Disease.Journal of clinical medicine · 2025Article
- Applying Wearable Sensors and Machine Learning to the Diagnostic Challenge of Distinguishing Parkinson's Disease from Other Forms of Parkinsonism.Biomedicines · 2025Article
- Biomechanics Parameters of Gait Analysis to Characterize Parkinson's Disease: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Dynamic Stability Analysis of Progressive Supranuclear Palsy Affected Gait Using Lyapunov Floquet Theory.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Higher-level gait disorder as a presenting manifestation of progressive supranuclear palsy: a video case report.Revista de neurologia · 2023Article
- Types of anomalies in two-dimensional video-based gait analysis in uncontrolled environments.PLoS computational biology · 2023Article
- Balance and gait in progressive supranuclear palsy: a narrative review of objective metrics and exercise interventions.Frontiers in neurology · 2023Review
- Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response.Science translational medicine · 2022Article
- The 2022 On-site Padua Days on Muscle and Mobility Medicine hosts the University of Florida Institute of Myology and the Wellstone Center, March 30 - April 3, 2022 at the University of Padua and Thermae of Euganean Hills, Padua, Italy: The collection of abstracts.European journal of translational myology · 2022Article
- Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson's Disease.Sensors (Basel, Switzerland) · 2022Article
- Force Platform-Based Intervention Program for Individuals Suffering with Neurodegenerative Diseases like Parkinson.Computational and mathematical methods in medicine · 2022Article
- Screening of Parkinson's Disease Using Geometric Features Extracted from Spiral Drawings.Brain sciences · 2021Article
- Of Criteria and Men-Diagnosing Atypical Parkinsonism: Towards an Algorithmic Approach.Brain sciences · 2021Article
- Neuroimaging correlates of gait abnormalities in progressive supranuclear palsy.NeuroImage. Clinical · 2021Article
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13 authors.
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Abstract
Progressive supranuclear palsy (PSP) is a rare and rapidly progressing atypical parkinsonism. Albeit existing clinical criteria for PSP have good specificity and sensitivity, there is a need for biomarkers able to capture early objective disease-specific abnormalities. This study aimed to identify gait patterns specifically associated with early PSP. The study population comprised 104 consecutively enrolled participants (83 PD and 21 PSP patients). Gait was investigated using a gait analysis system during normal gait and a cognitive dual task. Univariate statistical analysis and binary logistic regression were used to compare all PD patients and all PSP patients, as well as newly diagnosed PD and early PSP patients. Gait pattern was poorer in PSP patients than in PD patients, even from early stages. PSP patients exhibited reduced velocity and increased measures of dynamic instability when compared to PD patients. Application of predictive models to gait data revealed that PD gait pattern was typified by increased cadence and longer cycle length, whereas a longer stance phase characterized PSP patients in both mid and early disease stages. The present study demonstrates that quantitative gait evaluation clearly distinguishes PSP patients from PD patients since the earliest stages of disease. First, this might candidate gait analysis as a reliable biomarker in both clinical and research setting. Furthermore, our results may offer speculative clues for conceiving early disease-specific rehabilitation strategies.
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