ArticleScientific reports2021
A pathophysiological model of gait captures the details of the impairment of pace/rhythm, variability and asymmetry in Parkinsonian patients at distinct stages of the disease.
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 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Gait asymmetry in Parkinson's disease - a systematic review and meta-analysis (AsymmGait-Parkinson study).Scientific reports · 2026Pooled it
- Meta-analysis of the quantitative assessment of lower extremity motor function in elderly individuals based on objective detection.Journal of neuroengineering and rehabilitation · 2024Pooled it
- Detection of early-stage Parkinson's disease using wearable sensors at multiple body locations and convolutional neural networks.Scientific reports · 2026Article
- Whole body analysis of functional communities and topological features of gait with different speeds in Parkinson's disease.Journal of neurology · 2026Article
- Using explainable AI to identify disease-relevant and deep brain stimulation treatment-sensitive gait features in Parkinson's disease.Journal of neuroengineering and rehabilitation · 2026Article
- Sensor-Derived Parameters from Standardized Walking Tasks Can Support the Identification of Patients with Parkinson's Disease at Risk of Gait Deterioration.Bioengineering (Basel, Switzerland) · 2026Article
- Accuracy and Inter-Subject Variability of Gait Event Detection Methods Based on Optical and Inertial Motion Capture.Sensors (Basel, Switzerland) · 2025Article
- Using machine learning to identify Parkinson's disease severity subtypes with multimodal data.Journal of neuroengineering and rehabilitation · 2025Article
- Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case-Control Study.Sensors (Basel, Switzerland) · 2025Observational
- Do the gait domains change in PD patients with freezing of gait during their 'interictal' period?BMC geriatrics · 2025Article
- Five functional domains associated with gait performance in Parkinson's disease and lateral trunk flexion.Frontiers in neurology · 2025Article
- Deep learning-based detection of affected body parts in Parkinson's disease and freezing of gait using time-series imaging.Scientific reports · 2024Article
- 3D Kinematics Quantifies Gait Response to Levodopa earlier and to a more Comprehensive Extent than the MDS-Unified Parkinson's Disease Rating Scale in Patients with Motor Complications.Movement disorders clinical practice · 2024Article
- Article
- Identification of motor progression in Parkinson's disease using wearable sensors and machine learning.NPJ Parkinson's disease · 2023Article
- Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors.Scientific reports · 2023Article
- A non-expensive bidimensional assessment can detect subtle alterations in gait performance in people in the early stages of Parkinson's disease.Frontiers in neurology · 2023Article
- The kinectome: A comprehensive kinematic map of human motion in health and disease.Annals of the New York Academy of Sciences · 2022Article
- Impact of Parkinson's Disease on Functional Mobility at Different Stages.Frontiers in aging neuroscience · 2022Article
- L-Dopa/Carbidopa intestinal gel infusion in advanced Parkinson's disease: real-life mobility insights from wearable sensors.Frontiers in neurologyArticle
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5 authors.
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Abstract
Locomotion in people with Parkinson' disease (pwPD) worsens with the progression of disease, affecting independence and quality of life. At present, clinical practice guidelines recommend a basic evaluation of gait, even though the variables (gait speed, cadence, step length) may not be satisfactory for assessing the evolution of locomotion over the course of the disease. Collecting variables into factors of a conceptual model enhances the clinical assessment of disease severity. Our aim is to evaluate if factors highlight gait differences between pwPD and healthy subjects (HS) and do it at earlier stages of disease compared to single variables. Gait characteristics of 298 pwPD and 84 HS able to walk without assistance were assessed using a baropodometric walkway (GAITRite®). According to the structure of a model previously validated in pwPD, eight spatiotemporal variables were grouped in three factors: pace/rhythm, variability and asymmetry. The model, created from the combination of three factor scores, proved to outperform the single variables or the factors in discriminating pwPD from HS. When considering the pwPD split into the different Hoehn and Yahr (H&Y) stages, the spatiotemporal variables, factor scores and the model showed that multiple impairments of gait appear at H&Y stage 2.5, with the greatest difference from HS at stage 4. A contrasting behavior was found for the asymmetry variables and factor, which showed differences from the HS already in the early stages of PD. Our findings support the use of factor scores and of the model with respect to the single variables in gait staging in PD.
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