Temporal organization of stride duration variability as a marker of gait instability in Parkinson's disease

Warlop, Thibault; Detrembleur, Christine; Bollens, Benjamin; Stoquart, Gaëtan; Crevecoeur, Frédéric; Jeanjean, Anne; Lejeune, Thierry

doi:10.2340/16501977-2158

Cited by 43 publications

(51 citation statements)

References 35 publications

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“…PD is currently diagnosed based on motor impairments that are only present during progressive stages of the disease 41,42,43 . These clinical symptoms are caused by Lewy bodies aggregating in the brain and by degeneration of dopaminergic neurons in the substantia nigra.…”

Section: Discussionmentioning

confidence: 99%

Functional and molecular early enteric biomarkers for Parkinson’s disease in mice and men

Gries

Christmann

Schulte

et al. 2020

Preprint

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Parkinson's disease (PD) usually has a late clinical onset. The lack of early biomarkers for the disease represents a major challenge for developing timely treatment interventions. Here, we use an -synuclein-overexpressing transgenic (Th-1-SNCA-A30P) mouse model of PD to identify appropriate candidate markers in the gut for early stages of PD before hallmark symptoms begin to manifest. A30P mice did not show alterations in gait parameters at 2 months of age, and these mice were therefore defined as pre-symptomatic A30P mice (psA30P). We discovered early functional motility changes in the gut and early molecular dysregulations in the myenteric plexus of psA30P mice by comparative protein and miRNA profiling and cell culture experiments. We found that the proteins neurofilament light chain, vesicle-associated membrane protein 2 and calbindin 2, together with the miRNAs that regulate them, are potential biomarkers of early PD that may facilitate timely treatment and/or prevention of PD in men.

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Section: Discussionmentioning

confidence: 99%

Functional and molecular early enteric biomarkers for Parkinson’s disease in mice and men

Gries

Christmann

Schulte

et al. 2020

Preprint

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“…G ait deviations are among the most commonly reported impairments in persons with a variety of neurological and musculoskeletal conditions (1)(2)(3)(4)(5)(6)(7). Evaluation of the effectiveness of interventions targeting gait requires sensitive and objective assessment of gait characteristics (8).…”

mentioning

confidence: 99%

Concurrent validity and reliability of a low-cost gait analysis system for assessment of spatiotemporal gait parameters

Bloemendaal¹,

Beelen²,

Kleissen³

et al. 2019

J Rehabil Med

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Gait parameters, such as step length and step time, allow the quantification of gait deviations in persons with various diseases. Treatment can be customized and evaluated based on these parameters. However, few lowcost, easily applicable systems are available for clinical settings to accurately measure gait parameters. A lowcost spatiotemporal gait analysis system was developed and this study evaluated its accuracy and reliability. The spatiotemporal gait analysis system consists of a camera placed perpendicular to the walkway, which can be used stationary or moved manually along a parallel rail system to capture multiple strides of an individual during a single walk. Thirty-three healthy adults completed trials of barefoot, toe and shod walking. These adults were simultaneously recorded using an electronic walkway, the GAITRite®, for comparison. The results showed that the spatiotemporal gait analysis system is an accurate and reliable system to assess step and stride length, step, stance, and stride time, but not to assess double support and swing time. Objective: To determine the concurrent validity and reliability of a low-cost spatiotemporal gait analysis system for clinical use in rehabilitation medicine. Design: Cross-sectional study. Subjects: Thirty-three healthy adults. Methods: The spatiotemporal gait analysis system consists of a video camera placed perpendicular to a 10-m walkway and calibrated for spatial reference. The conditions evaluated in this study were: barefoot walking at comfortable and slow speed, toe and shod walking using a stationary camera setup and barefoot walking at comfortable speed using a moving camera setup. The GAITRite® was used as reference. Results: High intraclass correlation coefficients (ICC≥ 0.97; 95% lower limit confidence intervals (95% CIs) ≥ 0.77) were found between systems for step and stride length, and step, stance and stride time, across setups and conditions. Standard error of measurement and Bland-Altman repeatability coefficients were ≤ 2.4% and ≤ 6.3%, respectively. A minimum of 4 footsteps was required to obtain ICC >0.90 and coefficient of variation < 10%. For double support and swing time, ICCs were generally low (ICC≥ 0.21). Inter-rater reliability was excellent for step length, step and stance time (ICC≥ 0.94; lower limit 95% CIs ≥ 0.86). Conclusion: The spatiotemporal gait analysis system is valid and reliable for assessing spatiotemporal parameters in different walking conditions. However, the validity of double support and swing time could not be confirmed.

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“…Summary of the different groups analysed in the present work. Data come from our own lab, from the free online PhysioNet Databases [17], or were given by the first author of [10]. For each group we display the number of time series available, the age of participants/ patients under the form mean±SD, and give the minimal and maximal ages between brackets.…”

Section: Methodsmentioning

confidence: 99%

“…It appears that the long-term SI pattern, during a walk for about ten minutes, is auto-correlated: the temporal characteristics of a step are strongly dependent on the temporal characteristics of the previous steps [3,4]. During the 1990s, Hausdorff and his collaborators [3,4] proposed a framework for analyzing temporal dynamics of walking SI over a consistent number of strides (above 500) which has since been successfully used in different physiological and pathological contexts such as performing a dual task during walking [5,6], studying aging process during walking [4,7,8], investigating the influence of Parkinson's disease [9][10][11] or peripheral neuropathy on walking [12].…”

Section: Introductionmentioning

confidence: 99%

Added Value and Clinical Significance of Nonlinear Variability Indices of Walking Stride Interval in Neurodegenerative Diseases

Dierick¹,

Vandevoorde²,

Chantraine³

et al. 2020

Preprint

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Though self-paced walking is highly stereotyped, the stride interval fluctuates from one stride to the next around an average value with a measurable statistical variability. In clinical gait analysis, this variability is usually assessed with indices such the standard deviation or the coefficient of variation (CV). The aim of this study is to understand the added value that nonlinear indices of walking stride interval variability, such as Hurst exponent (H) and Minkowski fractal dimension (D), can provide in a clinical context and to suggest a clinical significance of these indices in the most common neurodegenerative diseases: Parkinson, Huntington, and amyotrophic lateral sclerosis. Although evidence have been accumulated that the stride interval organization at long range displays a more random, less autocorrelated, gait pattern in neurodegenerative diseases compared with young healthy individuals, it is today necessary to recompute CV, H, and D indices in a unified way and to take into account aging impact on these indices. In fact, computed nonlinear indices of variability are mainly dependent on stride interval time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available stride interval time series, either coming from our lab or from online databases, or made available to us by the authors of previously conducted research. We confirm that both linear and nonlinear variability indices are relevant indicators of aging process and neurodegenerative diseases.

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Temporal organization of stride duration variability as a marker of gait instability in Parkinson's disease

Cited by 43 publications

References 35 publications

Functional and molecular early enteric biomarkers for Parkinson’s disease in mice and men

Functional and molecular early enteric biomarkers for Parkinson’s disease in mice and men

Concurrent validity and reliability of a low-cost gait analysis system for assessment of spatiotemporal gait parameters

Added Value and Clinical Significance of Nonlinear Variability Indices of Walking Stride Interval in Neurodegenerative Diseases

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