Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases

Dierick, Frédéric; Vandevoorde, Charlotte; Chantraine, Frédéric; White, Olivier; Buisseret, Fabien

doi:10.1016/j.humov.2020.102741

Cited by 5 publications

(3 citation statements)

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“…By definition, H is mainly a measure of the time series’ predictability [ 4 , 5 ]. Therefore, it is relevant to complement it with other variability indices [ 8 , 9 , 25 ], of which we have chosen the Minkowski fractal dimension, D, [ 24 ], and the sample entropy, S, both as measures of complexity [ 1 ]. Computational details for D can be found in [ 24 ], while S was computed using the method described in [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

“…Note that H = 0.5 implies random variability. Although the physiological mechanism that generates SI autocorrelations is still controversial, neurodegenerative diseases significantly alter SI variability [ 7 ], and the use of indices other than H can help distinguish between different pathologies [ 8 , 9 ]. Other disturbances during walking, such as the execution of a cognitive task [ 10 ] or following a rhythmic auditory cue [ 11 ], also alter SI variability.…”

Section: Introductionmentioning

confidence: 99%

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Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and Predictability

Buisseret

Dehouck

Boulanger

et al. 2022

Biology

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Human walking exhibits properties of global stability, and local dynamic variability, predictability, and complexity. Global stability is typically assessed by quantifying the whole-body center-of-mass motion while local dynamic variability, predictability, and complexity are assessed using the stride interval. Recent arguments from general mechanics suggest that the global stability of gait can be assessed with adiabatic invariants, i.e., quantities that remain approximately constant, even under slow external changes. Twenty-five young healthy participants walked for 10 min at a comfortable pace, with and without a metronome indicating preferred step frequency. Stride interval variability was assessed by computing the coefficient of variation, predictability using the Hurst exponent, and complexity via the fractal dimension and sample entropy. Global stability of gait was assessed using the adiabatic invariant computed from averaged kinetic energy value related to whole-body center-of-mass vertical displacement. We show that the metronome alters the stride interval variability and predictability, from autocorrelated dynamics to almost random dynamics. However, despite these large local variability and predictability changes, the adiabatic invariant is preserved in both conditions, showing the global stability of gait. Thus, the adiabatic invariant theory reveals dynamical global stability constraints that are “hidden” behind apparent local walking variability and predictability.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and Predictability

Buisseret

Dehouck

Boulanger

et al. 2022

Biology

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“…7,8 Individuals with manifest HD also experience significant gait deviations, suggesting that footstep parameter changes may also be reliable biomarkers of HD progression. 9 Evidence to date suggests that variability in footstep characteristics provides the most accurate information on disease progression in comparison to other spatiotemporal parameters [9][10][11][12][13] and may allow clinicians to observe changes in their patients and assess the effectiveness of therapeutic interventions. As a practical and relatively inexpensive means of assessment, spatiotemporal gait analysis is suggested to be a reliable indicator of disease onset and progression in adults with premanifest and manifest HD.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Gait Parameters in Adults With Premanifest and Manifest Huntington’s Disease: A Systematic Review

Browning,

Holland,

Wellwood

et al. 2023

JMD

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ObjectiveaaTo systematically review and critically evaluate literature on spatiotemporal gait deviations in individuals with premanifest and manifest Huntington’s Disease (HD) in comparison with healthy cohorts.MethodsaaWe conducted a systematic review, guided by the Joanna Briggs Institute’s Manual for Evidence Synthesis and pre-registered with the International Prospective Register of Systematic Reviews. Eight electronic databases were searched. Studies comparing spatiotemporal footstep parameters in adults with premanifest and manifest HD to healthy controls were screened, included and critically appraised by independent reviewers. Data on spatiotemporal gait changes and variability were extracted and synthesised. Meta-analysis was performed on gait speed, cadence, stride length and stride length variability measures.ResultsaaWe screened 2,721 studies, identified 1,245 studies and included 25 studies (total 1,088 participants). Sample sizes ranged from 14 to 96. Overall, the quality of the studies was assessed as good, but reporting of confounding factors was often unclear. Meta-analysis found spatiotemporal gait deviations in participants with HD compared to healthy controls, commencing in the premanifest stage. Individuals with premanifest HD walk significantly slower (-0.17 m/s; 95% confidence interval [CI] [-0.22, -0.13]), with reduced cadence (-6.63 steps/min; 95% CI [-10.62, -2.65]) and stride length (-0.09 m; 95% CI [-0.13, -0.05]). Stride length variability was also increased in premanifest cohorts by 2.18% (95% CI [0.69, 3.68]), with these changes exacerbated in participants with manifest disease.ConclusionaaFindings suggest individuals with premanifest and manifest HD display significant spatiotemporal footstep deviations. Clinicians could monitor individuals in the premanifest stage of disease for gait changes to identify the onset of Huntington’s symptoms.

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Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity

et al. 2023

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Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases

Cited by 5 publications

References 44 publications

Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and Predictability

Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and Predictability

Spatiotemporal Gait Parameters in Adults With Premanifest and Manifest Huntington’s Disease: A Systematic Review

Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity

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