Evidence map›Paper›PMID 40883824›Full record

ArticleTrials2025

Effects of motor imagery training on gait and muscle synergy after total knee arthroplasty: study protocol for a randomized controlled trial.

Junyang Lu, Xiaoguang Chen, Thanaporn Tunprasert, Weiguo Liu, Haowen Tuo

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Junyang LuCollege of Physical Education, Henan Normal University, Xinxiang, China.
Xiaoguang ChenCollege of Physical Education, Henan Normal University, Xinxiang, China. chenxiaoguang@htu.edu.cn.ORCID http://orcid.org/0009-0001-1107-3390
Thanaporn TunprasertUniversity of Brighton, Village Way, Brighton, BN1 9PH, UK.
Weiguo LiuCollege of Physical Education and Health, Guangxi Normal University, Guilin, China.
Haowen TuoCollege of Physical Education and Health, Guangxi Normal University, Guilin, China.

Funding

Henan Provincial Science and Technology Research Project (CN) 232102320301
6 · The paper itself

Abstract

backgroundTotal knee arthroplasty has proven to be an effective method for treating severe osteoarthritis, but this procedure may induce abnormal symptoms of gait and muscle synergy after surgery. Motor imagery is a special means of training that can heighten cortical-spinal excitability and spinal transmission efficiency. The training method can fortify muscle strength, enhance joint range of motion, and ameliorate gait and muscle synergy control patterns, all while avoiding postoperative intense pain resulting from high-intensity exercise. This study aims to investigate whether motor imagery training can improve patients' gait function and muscle synergy patterns, and to establish the effectiveness of motor imagery training in fostering postoperative knee joint function recovery in total knee arthroplasty patients.

methodsThis study will utilize a single-blind randomized clinical trial methodology. The research will aim to recruit forty patients from Guilin Medical College Affiliated Hospital who have undergone total knee arthroplasty and who meet the trial criteria. Random allocation to either the experimental group or the control group will be conducted for these patients. Participants in both the experimental and control groups will receive a 6-week conventional training intervention beginning on the first day after surgery and 5 sessions of rehabilitation training per week. In addition, the participants in the experimental group will receive motor imagery training alongside the conventional training programme. The parameters of gait, muscle synergy, lower limb kinematics and kinetics, isokinetic muscle strength, proprioception, and knee joint scoring will be measured one week before surgery and at 3, 6, and 12 weeks after surgery. DISCUSSION: This protocol is to evaluate the function of motor imagery training after total knee arthroplasty by analysing the parameters of gait and muscle synergy. The outcomes of this trial are expected to affirm the utility of motor imagery training in the postoperative rehabilitation of total knee arthroplasty patients.

trial registrationChinese Clinical Trial Registry ChiCTR2400082292. Registered on March 26, 2024.

Indexed as

Arthroplasty, Replacement, KneeGaitImagery, PsychotherapyKnee JointMuscle, SkeletalOsteoarthritis, KneeAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMuscle StrengthRandomized Controlled Trials as TopicRange of Motion, ArticularRecovery of FunctionGaitMotor imagery trainingMuscle synergyRehabilitationTotal knee arthroplasty

Identifiers

PMID40883824
PMCPMC12395707

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.