Literature DB >> 24373785

Postural muscle responses and adaptations to backward platform perturbations in young people with and without intellectual disability.

Sven Blomqvist1, Anita Wester2, Börje Rehn3.   

Abstract

This study examines postural muscle responses to backward perturbations in young people (16-20 years) with and without intellectual disability (ID). The study included 56 young people with ID and 43 age-matched without ID volunteers. The subjects stood on a platform that was moved backwards in a surface translation. Lower and upper leg muscles and lower back spine muscles were recorded with surface electromyography (EMG). Muscle onset latency, time to peak amplitude (EMG), adaptation of muscle responses to repeated perturbations (using integrated EMG (IEMG) for epochs), and synergies and strategies were assessed. The result showed no differences between the two groups in muscle onset latency, synergies, and strategies. Young people with ID reduced their time to peak amplitude in investigated muscles, a response that was different from the group without ID. Also, young people with ID tended to adapt their IEMG less compared to the controls. These findings suggest that young people with ID have limited ability to use somatosensory information and adapt their postural muscle responses to repeated external perturbations.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Balance perturbations; EMG; Mental retardation; Postural control; Young adults

Mesh:

Year:  2013        PMID: 24373785     DOI: 10.1016/j.gaitpost.2013.11.018

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  2 in total

1.  The center of pressure and ankle muscle co-contraction in response to anterior-posterior perturbations.

Authors:  Dongwon Kim; Jong-Moon Hwang
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

2.  How Does Lower Limb Respond to Unexpected Balance Perturbations? New Insights from Synchronized Human Kinetics, Kinematics, Muscle Electromyography (EMG) and Mechanomyography (MMG) Data.

Authors:  Ringo Tang-Long Zhu; Pei-Zhao Lyu; Shuai Li; Cheuk Ying Tong; Yan To Ling; Christina Zong-Hao Ma
Journal:  Biosensors (Basel)       Date:  2022-06-18
  2 in total

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