Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases / Frédéric Dierick  

Public ISBD Titre : Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases Type de document : document électronique Auteurs : Frédéric Dierick ; Charlotte Vandevoorde ; Frédéric Chantraine ; Olivier White ; Fabien Buisseret Année de publication : 2020 Note générale : Cet article est une prépublication. doi: https://doi.org/10.1101/2020.01.31.20019455 Langues : Anglais (eng) Résumé : 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. CV is sensitive to aging process and pathology but does not allow to discriminate between specific neurodegenerative diseases. D shows no significative change in pathological groups. However, since H index is correlated with Hoehn & Yahr scores and significantly lowered in patients suffering from Huntington's disease, we recommend it as a relevant supplement to CV. En ligne : https://www.medrxiv.org/content/10.1101/2020.01.31.20019455v1.full.pdf Permalink : ./index.php?lvl=notice_display&id=84497 Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases [document électronique] / Frédéric Dierick ; Charlotte Vandevoorde ; Frédéric Chantraine ; Olivier White ; Fabien Buisseret . - 2020. Cet article est une prépublication. doi: https://doi.org/10.1101/2020.01.31.20019455 Langues : Anglais (eng) Résumé : 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. CV is sensitive to aging process and pathology but does not allow to discriminate between specific neurodegenerative diseases. D shows no significative change in pathological groups. However, since H index is correlated with Hoehn & Yahr scores and significantly lowered in patients suffering from Huntington's disease, we recommend it as a relevant supplement to CV. En ligne : https://www.medrxiv.org/content/10.1101/2020.01.31.20019455v1.full.pdf Permalink : ./index.php?lvl=notice_display&id=84497

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

Public ISBD Titre : Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases Type de document : document électronique Auteurs : Frédéric Dierick ; Frédéric Chantraine ; Charlotte Vandevoorde ; Olivier White ; Fabien Buisseret Année de publication : 2020 Langues : Français (fre) Mots-clés : marche  analyse fractale  pathologies neurodégénératives Résumé : Indices characterising the long-range temporal structure of walking stride interval (SI) variability such as Hurst exponent (H) and fractal dimension (D) may be used in addition to indices measuring the amount of variability like the coefficient of variation (CV). We assess the added value of the former indices in a clinical neurological context. Our aim is to demonstrate that they provide a clinical significance in aging and in frequent neurodegenerative diseases such as Parkinson's disease, Huntington, and amyotrophic lateral sclerosis. Indices assessing the temporal structure of variability are mainly dependent on SI time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available SI time series, either from our lab or from online databases. More precisely, we recompute CV, H, and D in a unified way. The average SI is also added to the measured parameters. We confirm that variability indices are relevant indicators of aging process and neurodegenerative diseases. While CV is sensitive to aging process and pathology, it does not discriminate between specific neurodegenerative diseases. H, which measures predictability of SI, significantly decreases with age but increases in patients suffering from amyotrophic lateral sclerosis. D, catching complexity of SI, is correlated with total functional capacity in patients with Huntington's disease. We conclude that the computation of H complements the clinical diagnosis of walking in patients with neurodegenerative diseases and we recommend it as a relevant supplement to classical CV or averaged SI. Since H and D indices did not lead to the same observations, suggesting the multi-fractal nature of SI dynamics, we recommend to open clinical gait analysis to the evaluation of more parameters. En ligne : https://luck.synhera.be/bitstream/handle/123456789/519/2020.01.31.20019455v1.ful [...] Permalink : ./index.php?lvl=notice_display&id=98162 Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases [document électronique] / Frédéric Dierick ; Frédéric Chantraine ; Charlotte Vandevoorde ; Olivier White ; Fabien Buisseret . - 2020. Langues : Français (fre) Mots-clés : marche  analyse fractale  pathologies neurodégénératives Résumé : Indices characterising the long-range temporal structure of walking stride interval (SI) variability such as Hurst exponent (H) and fractal dimension (D) may be used in addition to indices measuring the amount of variability like the coefficient of variation (CV). We assess the added value of the former indices in a clinical neurological context. Our aim is to demonstrate that they provide a clinical significance in aging and in frequent neurodegenerative diseases such as Parkinson's disease, Huntington, and amyotrophic lateral sclerosis. Indices assessing the temporal structure of variability are mainly dependent on SI time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available SI time series, either from our lab or from online databases. More precisely, we recompute CV, H, and D in a unified way. The average SI is also added to the measured parameters. We confirm that variability indices are relevant indicators of aging process and neurodegenerative diseases. While CV is sensitive to aging process and pathology, it does not discriminate between specific neurodegenerative diseases. H, which measures predictability of SI, significantly decreases with age but increases in patients suffering from amyotrophic lateral sclerosis. D, catching complexity of SI, is correlated with total functional capacity in patients with Huntington's disease. We conclude that the computation of H complements the clinical diagnosis of walking in patients with neurodegenerative diseases and we recommend it as a relevant supplement to classical CV or averaged SI. Since H and D indices did not lead to the same observations, suggesting the multi-fractal nature of SI dynamics, we recommend to open clinical gait analysis to the evaluation of more parameters. En ligne : https://luck.synhera.be/bitstream/handle/123456789/519/2020.01.31.20019455v1.ful [...] Permalink : ./index.php?lvl=notice_display&id=98162

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Complexité et prévisibilité de la dynamique du cycle de marche / Charlotte Vandevoorde

Public ISBD Titre : Complexité et prévisibilité de la dynamique du cycle de marche : Effet du vieillissement et des pathologies neurodégénératives Type de document : TFE / Mémoire Auteurs : Charlotte Vandevoorde, Auteur ; Fabien Buisseret, Directeur de la recherche ; Frédéric Dierick, Directeur de la recherche Editeur : Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut Année de publication : 2018 Importance : 58p. Format : 30cm Note générale : Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut ainsi que ses étudiants. Veuillez vous connecter pour accéder à votre compte lecteur. Langues : Français (fre) Mots-clés : rééducation  marche Index. décimale : MK Mémoire Kinésithérapie Permalink : ./index.php?lvl=notice_display&id=60069 Complexité et prévisibilité de la dynamique du cycle de marche : Effet du vieillissement et des pathologies neurodégénératives [TFE / Mémoire] / Charlotte Vandevoorde, Auteur ; Fabien Buisseret, Directeur de la recherche ; Frédéric Dierick, Directeur de la recherche . - Montignies-sur-Sambre : Haute Ecole Louvain en Hainaut, 2018 . - 58p. ; 30cm. Le fichier numérique de ce document est disponible uniquement pour les membres de la Haute Ecole Louvain-en-Hainaut ainsi que ses étudiants. Veuillez vous connecter pour accéder à votre compte lecteur. Langues : Français (fre) Mots-clés : rééducation  marche Index. décimale : MK Mémoire Kinésithérapie Permalink : ./index.php?lvl=notice_display&id=60069

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