Literature DB >> 22118863

Gait pattern in myotonic dystrophy (Steinert disease): a kinematic, kinetic and EMG evaluation using 3D gait analysis.

Manuela Galli1, Veronica Cimolin, Veronica Crugnola, Lorenzo Priano, Francesco Menegoni, Claudio Trotti, Eva Milano, Alessandro Mauro.   

Abstract

We investigated the gait pattern of 10 patients with myotonic dystrophy (Steinert disease; 4 females, 6 males; age: 41.5+7.6 years), compared to 20 healthy controls, through manual muscle test and gait analysis, in terms of kinematic, kinetic and EMG data. In most of patients (80%) distal muscle groups were weaker than proximal ones. Weakness at lower limbs was in general moderate to severe and MRC values evidenced a significant correlation between tibialis anterior and gastrocnemius medialis (R=0.91). An overall observation of gait pattern in patients when compared to controls showed that most spatio-temporal parameters (velocity, step length and cadence) were significantly different. As concerns kinematics, patients' pelvic tilt was globally in a higher position than control group, with reduced hip extension ability in stance phase and limited range of motion; 60% of the limbs revealed knee hyperextension during midstance and ankle joints showed a quite physiological position at initial contact and higher dorsiflexion during stance phase if compared to healthy individuals. Kinetic plots evidenced higher hip power during loading response and lower ankle power generation in terminal stance. The main EMG abnormalities were seen in tibialis anterior and gastrocnemius medialis muscles. In this study gait analysis gives objective and quantitative information about the gait pattern and the deviations due to the muscular situation of these patients; these results are important from a clinical point of view and suggest that rehabilitation programs for them should take these findings into account.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 22118863     DOI: 10.1016/j.jns.2011.10.026

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  8 in total

1.  Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway.

Authors:  Wenting Hu; Owen Combden; Xianta Jiang; Syamala Buragadda; Caitlin J Newell; Maria C Williams; Amber L Critch; Michelle Ploughman
Journal:  Biomed Eng Online       Date:  2022-03-30       Impact factor: 2.819

2.  Gait characteristics in a canine model of X-linked myotubular myopathy.

Authors:  Melissa A Goddard; Emily Burlingame; Alan H Beggs; Anna Buj-Bello; Martin K Childers; Anthony P Marsh; Valerie E Kelly
Journal:  J Neurol Sci       Date:  2014-08-29       Impact factor: 3.181

3.  Functional impairment in patients with myotonic dystrophy type 1 can be assessed by an ataxia rating scale (SARA).

Authors:  Giovanni DiPaolo; Cecilia Jimenez-Moreno; Nikoletta Nikolenko; Antonio Atalaia; Darren G Monckton; Michela Guglieri; Hanns Lochmüller
Journal:  J Neurol       Date:  2017-02-06       Impact factor: 4.849

4.  Paving the way for a better understanding of the pathophysiology of gait impairment in myotonic dystrophy: a pilot study focusing on muscle networks.

Authors:  Antonino Naro; Simona Portaro; Demetrio Milardi; Luana Billeri; Antonino Leo; David Militi; Placido Bramanti; Rocco Salvatore Calabrò
Journal:  J Neuroeng Rehabil       Date:  2019-09-18       Impact factor: 4.262

5.  Analyzing walking speeds with ankle and wrist worn accelerometers in a cohort with myotonic dystrophy.

Authors:  Aura Cecilia Jimenez-Moreno; Sarah J Charman; Nikoletta Nikolenko; Maxwell Larweh; Chris Turner; Grainne Gorman; Hanns Lochmüller; Michael Catt
Journal:  Disabil Rehabil       Date:  2018-07-10       Impact factor: 3.033

Review 6.  EMG-Centered Multisensory Based Technologies for Pattern Recognition in Rehabilitation: State of the Art and Challenges.

Authors:  Chaoming Fang; Bowei He; Yixuan Wang; Jin Cao; Shuo Gao
Journal:  Biosensors (Basel)       Date:  2020-07-26

Review 7.  Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques.

Authors:  Zhiyuan Zhang; Zhenyu Xu; Wenbin Chen; Shuo Gao
Journal:  Materials (Basel)       Date:  2022-07-12       Impact factor: 3.748

8.  Co-Contraction of Lower Limb Muscles Contributes to Knee Stability During Stance Phase in Hemiplegic Stroke Patients.

Authors:  Hai Yuan; Pingping Ge; Lingling Du; Qing Xia
Journal:  Med Sci Monit       Date:  2019-10-04
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.