Literature DB >> 33411749

Identifying differences in gait adaptability across various speeds using movement synergy analysis.

David Ó'Reilly1,2, Peter Federolf3.   

Abstract

INTRODUCTION: The aim of this study was to identify movement synergies during normal-walking that can differentiate healthy adults in terms of gait adaptability at various speeds. To this end, the association between movement synergies and lower-limb coordination variability or Deviation Phase (DP) was investigated. This study also investigated the moderating effect of movement synergies on the relationship between DP and the smoothness of arm-swing motion (NJI).
METHOD: A principal component analysis of whole-body marker trajectories from normal-walking treadmill trials at 0.8m/s, 1.2m/s and 1.6m/s was undertaken. Both DP and NJI were derived from approx. 8 minutes of perturbed-walking treadmill trials. Principal movement components, PMk, were derived and the RMS of the 2nd-order differentiation of these PMk (PAkRMS) were included as independent variables representing the magnitude of neuromuscular control in each PMk. Each PAkRMS were input into maximal linear mixed-effects models against DP and (DP x NJI) respectively. A stepwise elimination of terms and comparison of models using Anova identified optimal models for both aims.
RESULTS: The principal movement related to the push-off mechanism of gait (PA4RMS) was identified as an optimal model and demonstrated a significant negative effect on DP however this effect may differ considerably across walking-speeds. An optimal model for describing the variance in (DP x NJI) included a fixed-effect of PA6RMS representing Right-Left side weight transfer was identified.
INTERPRETATION: The hypotheses that individuals who exhibited greater control on specific kinematic synergies would exhibit variations during perturbed walking was substantiated. Supporting evidence for the role of movement synergies during the double-support phase of gait in proactively correcting balance was presented as well as the potential for this approach in targeted rehabilitation. The potential influence of leg dominance on gait adaptability was also discussed. Future studies should investigate further the role of walking-speed and leg dominance on movement synergies and look to generalize these findings to patient populations.

Entities:  

Year:  2021        PMID: 33411749      PMCID: PMC7790368          DOI: 10.1371/journal.pone.0244582

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  50 in total

1.  Repeated Exposure to Forward Support-Surface Perturbation During Overground Walking Alters Upper-Body Kinematics and Step Parameters.

Authors:  Keaton A Inkol; Andrew H Huntley; Lori Ann Vallis
Journal:  J Mot Behav       Date:  2018-06-01       Impact factor: 1.328

2.  Complexity, Composition, and Control of Bipedal Balancing Movements as the Postural Control System Adapts to Unstable Support Surfaces or Altered Feet Positions.

Authors:  Arunee Promsri; Thomas Haid; Peter Federolf
Journal:  Neuroscience       Date:  2020-02-03       Impact factor: 3.590

3.  Muscle synergies and complexity of neuromuscular control during gait in cerebral palsy.

Authors:  Katherine M Steele; Adam Rozumalski; Michael H Schwartz
Journal:  Dev Med Child Neurol       Date:  2015-06-17       Impact factor: 5.449

4.  Physiological complexity and system adaptability: evidence from postural control dynamics of older adults.

Authors:  Brad Manor; Madalena D Costa; Kun Hu; Elizabeth Newton; Olga Starobinets; Hyun Gu Kang; C K Peng; Vera Novak; Lewis A Lipsitz
Journal:  J Appl Physiol (1985)       Date:  2010-10-14

Review 5.  The case for and against muscle synergies.

Authors:  Matthew C Tresch; Anthony Jarc
Journal:  Curr Opin Neurobiol       Date:  2009-10-12       Impact factor: 6.627

Review 6.  The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective.

Authors:  Arthur D Kuo
Journal:  Hum Mov Sci       Date:  2007-07-06       Impact factor: 2.161

7.  A novel approach to study human posture control: "Principal movements" obtained from a principal component analysis of kinematic marker data.

Authors:  Peter A Federolf
Journal:  J Biomech       Date:  2015-12-29       Impact factor: 2.712

8.  Association between Slip Severity and Muscle Synergies of Slipping.

Authors:  Mohammad Moein Nazifi; Kurt E Beschorner; Pilwon Hur
Journal:  Front Hum Neurosci       Date:  2017-11-07       Impact factor: 3.169

9.  Interdependence of balance mechanisms during bipedal locomotion.

Authors:  Tyler Fettrow; Hendrik Reimann; David Grenet; Elizabeth Thompson; Jeremy Crenshaw; Jill Higginson; John Jeka
Journal:  PLoS One       Date:  2019-12-04       Impact factor: 3.240

Review 10.  Falls in the community-dwelling older adult: a review for primary-care providers.

Authors:  Theresa A Soriano; Linda V DeCherrie; David C Thomas
Journal:  Clin Interv Aging       Date:  2007       Impact factor: 4.458

View more
  3 in total

1.  Gymnastics Experience Enhances the Development of Bipedal-Stance Multi-Segmental Coordination and Control During Proprioceptive Reweighting.

Authors:  Albert Busquets; Blai Ferrer-Uris; Rosa Angulo-Barroso; Peter Federolf
Journal:  Front Psychol       Date:  2021-04-15

2.  Sex Difference in Running Stability Analyzed Based on a Whole-Body Movement: A Pilot Study.

Authors:  Arunee Promsri
Journal:  Sports (Basel)       Date:  2022-09-16

3.  Assessing Walking Stability Based on Whole-Body Movement Derived from a Depth-Sensing Camera.

Authors:  Arunee Promsri
Journal:  Sensors (Basel)       Date:  2022-10-05       Impact factor: 3.847

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.