Literature DB >> 27189783

Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking.

N König1, W R Taylor2, C R Baumann3, N Wenderoth4, N B Singh1.   

Abstract

Neuromotor processes are inherently noisy, which results in variability during movement and fluctuations in motor control. Although controversial, low levels of variability are traditionally considered healthy, while increased levels are thought to be pathological. This systematic review and meta-analysis of the literature investigates the thresholds between healthy and pathological task variability. After examining 13,195 publications, 109 studies were included. Results from over 3000 healthy subjects and 2775 patients revealed an overall positive effect size of pathology on variability of 0.59 for walking and 0.80 for sway. For the coefficient of variation of stride time (ST) and sway area (SA), upper thresholds of 2.6% and 265mm(2) discriminated pathological from asymptomatic performance, while 1.1% and 62mm(2) identified the lower thresholds for pathological variability. This window of healthy performance now provides science based evidence for the discrimination of both extremely low and extremely high levels of variability in the identification as well as standardised monitoring of functional status in neurological cases.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Gait variability; Postural balance; Systematic review

Mesh:

Year:  2016        PMID: 27189783     DOI: 10.1016/j.neubiorev.2016.03.035

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  18 in total

Review 1.  Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall.

Authors:  Ioannis Bargiotas; Danping Wang; Juan Mantilla; Flavien Quijoux; Albane Moreau; Catherine Vidal; Remi Barrois; Alice Nicolai; Julien Audiffren; Christophe Labourdette; François Bertin-Hugaul; Laurent Oudre; Stephane Buffat; Alain Yelnik; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal
Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

Review 2.  Perceptual-motor styles.

Authors:  Pierre-Paul Vidal; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2021-03-06       Impact factor: 2.064

3.  Cortical Contribution to Linear, Non-linear and Frequency Components of Motor Variability Control during Standing.

Authors:  Niklas König Ignasiak; Lars Habermacher; William R Taylor; Navrag B Singh
Journal:  Front Hum Neurosci       Date:  2017-11-10       Impact factor: 3.169

4.  A Perspective on Wearable Sensor Measurements and Data Science for Parkinson's Disease.

Authors:  Ricardo Matias; Vitor Paixão; Raquel Bouça; Joaquim J Ferreira
Journal:  Front Neurol       Date:  2017-12-12       Impact factor: 4.003

5.  What Is the Contribution of Ia-Afference for Regulating Motor Output Variability during Standing?

Authors:  Niklas König; Matteo G Ferraro; Heiner Baur; William R Taylor; Navrag B Singh
Journal:  Front Hum Neurosci       Date:  2017-03-02       Impact factor: 3.169

6.  Less Is More - Estimation of the Number of Strides Required to Assess Gait Variability in Spatially Confined Settings.

Authors:  Daniel Kroneberg; Morad Elshehabi; Anne-Christiane Meyer; Karen Otte; Sarah Doss; Friedemann Paul; Susanne Nussbaum; Daniela Berg; Andrea A Kühn; Walter Maetzler; Tanja Schmitz-Hübsch
Journal:  Front Aging Neurosci       Date:  2019-01-21       Impact factor: 5.750

Review 7.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06

8.  Does variability of footfall kinematics correlate with dynamic stability of the centre of mass during walking?

Authors:  Niklas König Ignasiak; Deepak K Ravi; Stefan Orter; Seyyed Hamed Hosseini Nasab; William R Taylor; Navrag B Singh
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

Review 9.  Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease.

Authors:  Niklas König; Navrag B Singh; Christian R Baumann; William R Taylor
Journal:  Front Hum Neurosci       Date:  2016-06-30       Impact factor: 3.169

Review 10.  Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks.

Authors:  Fabian Herold; Patrick Wiegel; Felix Scholkmann; Angelina Thiers; Dennis Hamacher; Lutz Schega
Journal:  Neurophotonics       Date:  2017-08-01       Impact factor: 3.593

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