Literature DB >> 28704694

Harmony as a convergence attractor that minimizes the energy expenditure and variability in physiological gait and the loss of harmony in cerebellar ataxia.

Mariano Serrao1, Giorgia Chini2, Marco Iosa3, Carlo Casali4, Giovanni Morone5, Carmela Conte6, Fabiano Bini7, Franco Marinozzi8, Gianluca Coppola9, Francesco Pierelli10, Francesco Draicchio11, Alberto Ranavolo12.   

Abstract

BACKGROUND: The harmony of the human gait was recently found to be related to the golden ratio value (ϕ). The ratio between the duration of the stance and that of the swing phases of a gait cycle was in fact found to be close to ϕ, which implies that, because of the fractal property of autosimilarity of that number, the gait ratios stride/stance, stance/swing, swing/double support, were not significantly different from one another. We studied a group of patients with cerebellar ataxia to investigate how the differences between their gait ratios and the golden ratio are related to efficiency and stability of their gait, assessed by energy expenditure and stride-to-stride variability, respectively.
METHODS: The gait of 28 patients who were affected by degenerative cerebellar ataxia and of 28 healthy controls was studied using a stereophotogrammetric system. The above mentioned gait ratios, the energy expenditure estimated using the pelvis reconstructed method and the gait variability in terms of the stride length were computed, and their relationships were analyzed. Matching procedures have also been used to avoid multicollinearity biases.
FINDINGS: The gait ratio values of the patients were farther from the controls (and hence from ϕ), even in speed matched conditions (P=0.011, Cohen's D=0.76), but not when the variability and energy expenditure were matched between the two groups (Cohen's D=0.49). In patients with cerebellar ataxia, the farther the stance-swing ratio was from ϕ, the larger the total mechanical work (R2adj=0.64). Further, a significant positive correlation was observed between the difference of the gait ratio from the golden ratio and the severity of the disease (R=0.421, P=0.026).
INTERPRETATION: Harmony of gait appears to be a benchmark of physiological gait leading to physiological energy recovery and gait reliability. Neurorehabilitation of patients with ataxia might benefit from the restoration of harmony of their locomotor patterns.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Balance; Fractals; Gait analysis; Golden ratio; Rehabilitation; Walking

Mesh:

Year:  2017        PMID: 28704694     DOI: 10.1016/j.clinbiomech.2017.07.001

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  10 in total

1.  Effect of Restraining the Base of Support on the Other Biomechanical Features in Patients with Cerebellar Ataxia.

Authors:  C Conte; Mariano Serrao; L Cuius; A Ranavolo; S Conforto; F Pierelli; L Padua
Journal:  Cerebellum       Date:  2018-06       Impact factor: 3.847

2.  XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes.

Authors:  Byungjoo Noh; Changhong Youm; Eunkyoung Goh; Myeounggon Lee; Hwayoung Park; Hyojeong Jeon; Oh Yoen Kim
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

3.  The Role of Walking Experience in the Emergence of Gait Harmony in Typically Developing Toddlers.

Authors:  Daniela De Bartolo; Coen S Zandvoort; Marije Goudriaan; Jennifer N Kerkman; Marco Iosa; Nadia Dominici
Journal:  Brain Sci       Date:  2022-01-24

4.  Nutrition and Physical Therapy: A Position Paper by the Physical Therapist Section of the Japanese Association of Rehabilitation Nutrition (Secondary Publication).

Authors:  Tatsuro Inoue; Yuki Iida; Kohei Takahashi; Kengo Shirado; Fumihiko Nagano; Shinjiro Miyazaki; Izumi Takeuchi; Yoshihiro Yoshimura; Ryo Momosaki; Keisuke Maeda; Hidetaka Wakabayashi
Journal:  JMA J       Date:  2022-03-04

5.  Editorial: Rhythmic Patterns in Neuroscience and Human Physiology.

Authors:  Nadia Dominici; Marco Iosa; Giuseppe Vannozzi; Daniela De Bartolo
Journal:  Front Hum Neurosci       Date:  2022-05-25       Impact factor: 3.473

6.  Golden Gait: An Optimization Theory Perspective on Human and Humanoid Walking.

Authors:  Marco Iosa; Giovanni Morone; Stefano Paolucci
Journal:  Front Neurorobot       Date:  2017-12-19       Impact factor: 2.650

7.  Testing the Performance of an Innovative Markerless Technique for Quantitative and Qualitative Gait Analysis.

Authors:  Laura Simoni; Alessandra Scarton; Filippo Gerli; Claudio Macchi; Federico Gori; Guido Pasquini; Silvia Pogliaghi
Journal:  Sensors (Basel)       Date:  2020-11-20       Impact factor: 3.576

8.  Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke.

Authors:  Marco Iosa; Maria Grazia Benedetti; Gabriella Antonucci; Stefano Paolucci; Giovanni Morone
Journal:  Sensors (Basel)       Date:  2022-02-11       Impact factor: 3.576

9.  Age-specific differences in gait domains and global cognitive function in older women: gait characteristics based on gait speed modification.

Authors:  Byungjoo Noh; Changhong Youm; Myeounggon Lee; Hwayoung Park
Journal:  PeerJ       Date:  2020-03-16       Impact factor: 2.984

10.  Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work.

Authors:  Marco Iosa; Edda Capodaglio; Silvia Pelà; Benedetta Persechino; Giovanni Morone; Gabriella Antonucci; Stefano Paolucci; Monica Panigazzi
Journal:  Front Neurol       Date:  2021-05-19       Impact factor: 4.003

  10 in total

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