ArticleFrontiers in physiology2018
Gait Complexity and Regularity Are Differently Modulated by Treadmill Walking in Parkinson's Disease and Healthy Population.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Assessing the Temporal Organization of Walking Variability: A Systematic Review and Consensus Guidelines on Detrended Fluctuation Analysis.Frontiers in physiology · 2020Pooled it
- Fractal analysis of gait in people with Parkinson's disease: three minutes is not enough.Gait & posture · 2019Trial
- Topological Organization of Center-of-Pressure Dynamics During Virtual Reality Walking Differs Between Individuals With Parkinson's Disease and Healthy Older Adults.Health science reports · 2026Article
- Beyond gait speed: a multidimensional motor signature of motoric cognitive risk syndrome identified through domain-specific anomaly detection.GeroScience · 2026Article
- The individuality of plantar pressure indices enables the reduction of descriptive gait data required for diagnostic purposes.Scientific reports · 2025Article
- Validity of Linear and Nonlinear Measures of Gait Variability to Characterize Aging Gait with a Single Lower Back Accelerometer.Sensors (Basel, Switzerland) · 2024Article
- Monitoring Age-Related Changes in Gait Complexity in the Wild with a Smartphone Accelerometer System.Sensors (Basel, Switzerland) · 2024Article
- The Influence of Dopaminergic Medication on Regularity and Determinism of Gait and Balance in Parkinson's Disease: A Pilot Analysis.Journal of clinical medicine · 2024Article
- Parkinson's Critical Heart Rate Test: Applying the Critical Power Model for People with Parkinson's Disease.Journal of human kinetics · 2024Article
- The Agreement between Wearable Sensors and Force Plates for the Analysis of Stride Time Variability.Sensors (Basel, Switzerland) · 2024Article
- Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson's disease.Journal of neuroengineering and rehabilitation · 2023Article
- High-density EMG, IMU, kinetic, and kinematic open-source data for comprehensive locomotion activities.Scientific data · 2023Article
- Acclimatization of force production during walking in persons with Parkinson's disease.Journal of biomechanics · 2023Article
- Article
- Insight into the hierarchical control governing leg stiffness during the stance phase of running.Scientific reports · 2022Article
- Biomechanical Correlates of Falls Risk in Gait Impaired Stroke Survivors.Frontiers in physiology · 2022Article
- Nonlinear analysis of the movement variability structure can detect aging-related differences among cognitively healthy individuals.Human movement science · 2021Article
- Uncontrolled manifold analysis of the effects of a perturbation-based training on the organization of leg joint variance in cerebellar ataxia.Experimental brain research · 2021Article
- Fractal auditory stimulation has greater benefit for people with Parkinson's disease showing more random gait pattern.Gait & posture · 2020Article
- Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson's Disease Patients' Gait During Treadmill Walking.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Variability raises considerable interest as a promising and sensitive marker of dysfunction in physiology, in particular in neurosciences. Both internally (e.g., pathology) and/or externally (e.g., environment) generated perturbations and the neuro-mechanical responses to them contribute to the fluctuating dynamics of locomotion. Defective internal gait control in Parkinson's disease (PD), resulting in typical timing gait disorders, is characterized by the breakdown of the temporal organization of stride duration variability. Influence of external cue on gait pattern could be detrimental or advantageous depending on situations (healthy or pathological gait pattern, respectively). As well as being an interesting rehabilitative approach in PD, treadmills are usually implemented in laboratory settings to perform instrumented gait analysis including gait variability assessment. However, possibly acting as an external pacemaker, treadmill could modulate the temporal organization of gait variability of PD patients which could invalidate any gait variability assessment. This study aimed to investigate the immediate influence of treadmill walking (TW) on the temporal organization of stride duration variability in PD and healthy population. Here, we analyzed the gait pattern of 20 PD patients and 15 healthy age-matched subjects walking on overground and on a motorized-treadmill (randomized order) at a self-selected speed. The temporal organization and regularity of time series of walking were assessed on 512 consecutive strides and assessed by the application of non-linear mathematical methods (i.e., the detrended fluctuation analysis and power spectral density; and sample entropy, for the temporal organization and regularity of gait variability, respectively). A more temporally organized and regular gait pattern seems to emerge from TW in PD while no influence was observed on healthy gait pattern. Treadmill could afford the necessary framework to regulate gait rhythmicity in PD. Overall, the results support the hypothesis of a greater dependence to regulatory inputs as an explanatory factor of treadmill influence observed in PD. Also, since treadmill misrepresents the gait as more healthy than it is, the present findings underline that gait analysis using treadmill devices should be cautiously considered in PD and especially for gait variability assessment in gait lab.
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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.