Literature DB >> 31639377

Revealing the optimal thresholds for movement performance: A systematic review and meta-analysis to benchmark pathological walking behaviour.

Deepak K Ravi1, Michelle Gwerder1, Niklas König Ignasiak2, Christian R Baumann3, Mechtild Uhl3, Jaap H van Dieën4, William R Taylor5, Navrag B Singh1.   

Abstract

In order to address whether increased levels of movement output variability indicate pathological performance, we systematically reviewed and synthesized meta-analysis data on healthy and pathological motor behavior. After screening up to 24'000 reports from four databases, 85 studies were included containing 2409 patients and 2523 healthy asymptomatic controls. The optimal thresholds of variability with uncertainty boundaries (in % Coefficient of Variation ± Standard Error) were estimated in 7 parameters: stride time (2.34 ± 0.21), stride length (2.99 ± 0.37), step length (3.34 ± 0.84), swing time (2.94 ± 0.60), step time (3.35 ± 0.23), step width (15.87 ± 1.86), and dual-limb support time (6.08 ± 2.83). All spatio-temporal parameters exhibited a positive effect size (pathology led to increased variability) except step width variability (Effect Size = -0.21). By objectively benchmarking thresholds for pathological motor variability also presented through a case-study, this review provides access to movement signatures to understand neurological changes in an individual that are apparent in movement variability. The comprehensive evidence presented now qualifies stride time variability as a movement biomarker, endorsing its applicability as a viable outcome measure in clinical trials.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarkers; Movement disorders; Optimal thresholds; Variability

Mesh:

Substances:

Year:  2019        PMID: 31639377     DOI: 10.1016/j.neubiorev.2019.10.008

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


  8 in total

1.  Fractal auditory stimulation has greater benefit for people with Parkinson's disease showing more random gait pattern.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz; Ryan L Meidinger; Amy M Hellman
Journal:  Gait Posture       Date:  2020-06-01       Impact factor: 2.840

2.  Quantitative Evaluation of Gait Changes Using APDM Inertial Sensors After the External Lumbar Drain in Patients With Idiopathic Normal Pressure Hydrocephalus.

Authors:  Mengmeng He; Zhenyu Qi; Yunxiang Shao; Hui Yao; Xuewen Zhang; Yang Zhang; Yu Shi; Qinzhi E; Chengming Liu; Hongwei Hu; Jiangang Liu; Xiaoou Sun; Zhong Wang; Yulun Huang
Journal:  Front Neurol       Date:  2021-07-08       Impact factor: 4.003

3.  The effects of walking speed and mobile phone use on the walking dynamics of young adults.

Authors:  Patrick Crowley; Nicolas Vuillerme; Afshin Samani; Pascal Madeleine
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

4.  Does Subthalamic Deep Brain Stimulation Impact Asymmetry and Dyscoordination of Gait in Parkinson's Disease?

Authors:  Deepak K Ravi; Christian R Baumann; Elena Bernasconi; Michelle Gwerder; Niklas K Ignasiak; Mechtild Uhl; Lennart Stieglitz; William R Taylor; Navrag B Singh
Journal:  Neurorehabil Neural Repair       Date:  2021-09-22       Impact factor: 3.919

5.  A pathophysiological model of gait captures the details of the impairment of pace/rhythm, variability and asymmetry in Parkinsonian patients at distinct stages of the disease.

Authors:  Marco Godi; Ilaria Arcolin; Marica Giardini; Stefano Corna; Marco Schieppati
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

6.  Gait disorders in CKD patients: muscle wasting or cognitive impairment? A cross-sectional pilot study to investigate gait signatures in Stage 1-5 CKD patients.

Authors:  Damiano D Zemp; Olivier Giannini; Pierluigi Quadri; Marco Rabuffetti; Mauro Tettamanti; Eling D de Bruin
Journal:  BMC Nephrol       Date:  2022-02-21       Impact factor: 2.388

7.  Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments.

Authors:  David Renggli; Christina Graf; Nikolaos Tachatos; Navrag Singh; Mirko Meboldt; William R Taylor; Lennart Stieglitz; Marianne Schmid Daners
Journal:  Front Physiol       Date:  2020-02-20       Impact factor: 4.566

8.  Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics.

Authors:  Brian Horsak; Mark Simonlehner; Lucas Schöffer; Bernhard Dumphart; Arian Jalaeefar; Matthias Husinsky
Journal:  Front Bioeng Biotechnol       Date:  2021-12-03
  8 in total

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