Literature DB >> 27189650

Ankle muscle coactivation and its relationship with ankle joint kinematics and kinetics during gait in hemiplegic patients after stroke.

Ryosuke Kitatani1,2, Koji Ohata1, Shuhei Sato3, Aki Watanabe4, Yu Hashiguchi1,2, Natsuki Yamakami5, Kaoru Sakuma1,6, Shigehito Yamada1.   

Abstract

INTRODUCTION: Increased ankle muscle coactivation during gait is a compensation strategy for enhancing postural stability in patients after stroke. However, no previous studies have demonstrated that increased ankle muscle coactivation influenced ankle joint movements during gait in patients after stroke.
PURPOSE: To investigate the relationship between ankle muscle coactivation and ankle joint movements in hemiplegic patients after stroke.
METHODS: Seventeen patients after stroke participated. The coactivation index (CoI) at the ankle joint was calculated separately for the first and second double support (DS1 and DS2, respectively) and single support (SS) phases on the paretic and non-paretic sides during gait using surface electromyography. Simultaneously, three-dimensional motion analysis was performed to measure the peak values of the ankle joint angle, moment, and power in the sagittal plane. Ground reaction forces (GRFs) of the anterior and posterior components and centers of pressure (COPs) trajectory ranges and velocities were also measured.
RESULTS: The CoI during the SS phase on the paretic side was negatively related to ankle dorsiflexion angle, ankle plantarflexion moment, ankle joint power generation, and COP velocity on the paretic side. Furthermore, the CoI during the DS2 phase on both sides was negatively related to anterior GRF amplitude on each side.
CONCLUSION: Increased ankle muscle coactivation is related to decreased ankle joint movement during the SS phase on the paretic side to enhance joint stiffness and compensate for stance limb instability, which may be useful for patients who have paretic instability during the stance phase after stroke.

Entities:  

Keywords:  Co-contraction; electromyography; stroke

Mesh:

Year:  2016        PMID: 27189650     DOI: 10.1080/08990220.2016.1178636

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  4 in total

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Journal:  Biomed Res Int       Date:  2022-09-02       Impact factor: 3.246

2.  Robotic ankle control can provide appropriate assistance throughout the gait cycle in healthy adults.

Authors:  Kei Nakagawa; Keita Higashi; Akari Ikeda; Naoto Kadono; Eiichiro Tanaka; Louis Yuge
Journal:  Front Neurorobot       Date:  2022-09-27       Impact factor: 3.493

3.  Lower extremity long-latency reflexes differentiate walking function after stroke.

Authors:  Caitlin L Banks; Virginia L Little; Eric R Walker; Carolynn Patten
Journal:  Exp Brain Res       Date:  2019-08-01       Impact factor: 2.064

4.  Walking characteristics including mild motor paralysis and slow walking speed in post-stroke patients.

Authors:  Naomichi Mizuta; Naruhito Hasui; Tomoki Nakatani; Yusaku Takamura; Shintaro Fujii; Masako Tsutsumi; Junji Taguchi; Shu Morioka
Journal:  Sci Rep       Date:  2020-07-16       Impact factor: 4.379

  4 in total

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