Literature DB >> 28222549

Gait and balance deterioration over a 12-month period in multiple sclerosis patients with EDSS scores ≤ 3.0.

Mary P Galea1, L Eduardo Cofré Lizama1, Helmut Butzkueven1, Trevor J Kilpatrick2.   

Abstract

BACKGROUND AND
PURPOSE: It is not currently known whether gait and balance measures are responsive to deterioration of motor function in multiple sclerosis (MS) patients with low EDSS scores (≤3.0). The aim of this study was to quantify MS-related gait and balance deterioration over a 12-month period.
METHODS: Thirty-eight participants with MS (33 female, mean age: 41.1 ± 8.3 years), mean time since diagnosis 2.2 ± 4.1 years, EDSS score ≤3.0 and without clinical evidence of gait deterioration, were recruited. Participants performed walking trials and Functional and Lateral Reach Tests. Kinematics of the ankle and knee, and electromyography of the tibialis anterior and medial gastrocnemius muscles were also measured.
RESULTS: Three participants reported relapses with worsening EDSS scores and 4 non-relapsing participants had worse EDSS scores at 12 months. There were significant decreases in mean gait speed, stride length and balance scores, and a significant increase in double support. Marked changes in ankle kinematics, with decreased medial gastrocnemius activity were observed.
CONCLUSION: Gait and balance performance of non-disabled RRMS participants may progressively decline, even in the absence of both acute clinical relapse and change in clinical status measured by the EDSS.

Entities:  

Keywords:  Gait; balance; multiple sclerosis

Mesh:

Year:  2017        PMID: 28222549     DOI: 10.3233/NRE-161413

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  10 in total

1.  Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis.

Authors:  Leah A Davis; Mohammed S Alenazy; Awad M Almuklass; Daniel F Feeney; Taian Vieira; Alberto Botter; Roger M Enoka
Journal:  J Neurophysiol       Date:  2020-04-29       Impact factor: 2.714

2.  Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach.

Authors:  Nicola Marotta; Alessandro de Sire; Cinzia Marinaro; Lucrezia Moggio; Maria Teresa Inzitari; Ilaria Russo; Anna Tasselli; Teresa Paolucci; Paola Valentino; Antonio Ammendolia
Journal:  J Clin Med       Date:  2022-06-17       Impact factor: 4.964

3.  A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis.

Authors:  Alexandre Bois; Brian Tervil; Albane Moreau; Aliénor Vienne-Jumeau; Damien Ricard; Laurent Oudre
Journal:  PLoS One       Date:  2022-05-13       Impact factor: 3.752

4.  Healthcare applications of single camera markerless motion capture: a scoping review.

Authors:  Bradley Scott; Martin Seyres; Fraser Philp; Edward K Chadwick; Dimitra Blana
Journal:  PeerJ       Date:  2022-05-26       Impact factor: 3.061

5.  Smartphone-derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis.

Authors:  Ka-Hoo Lam; James Twose; Hannah McConchie; Giovanni Licitra; Kim Meijer; Lodewijk de Ruiter; Zoë van Lierop; Bastiaan Moraal; Frederik Barkhof; Bernard Uitdehaag; Vincent de Groot; Joep Killestein
Journal:  Eur J Neurol       Date:  2021-11-14       Impact factor: 6.288

Review 6.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

Review 7.  Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.

Authors:  Christina Salchow-Hömmen; Matej Skrobot; Magdalena C E Jochner; Thomas Schauer; Andrea A Kühn; Nikolaus Wenger
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

8.  Axonal loss in major sensorimotor tracts is associated with impaired motor performance in minimally disabled multiple sclerosis patients.

Authors:  Myrte Strik; L Eduardo Cofré Lizama; Camille J Shanahan; Anneke van der Walt; Frederique M C Boonstra; Rebecca Glarin; Trevor J Kilpatrick; Jeroen J G Geurts; Jon O Cleary; Menno M Schoonheim; Mary P Galea; Scott C Kolbe
Journal:  Brain Commun       Date:  2021-03-16

9.  Increased ankle muscle coactivation in the early stages of multiple sclerosis.

Authors:  L Eduardo Cofré Lizama; Andisheh Bastani; Anneke van der Walt; Trevor Kilpatrick; Fary Khan; Mary P Galea
Journal:  Mult Scler J Exp Transl Clin       Date:  2020-02-11

10.  The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.

Authors:  Katrin Trentzsch; Marie Luise Weidemann; Charlotte Torp; Hernan Inojosa; Maria Scholz; Rocco Haase; Dirk Schriefer; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurosci       Date:  2020-10-26       Impact factor: 4.677

  10 in total

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