远程康复
医学
康复
物理医学与康复
辅助电机区
形状记忆合金*
功能磁共振成像
冲程(发动机)
运动前皮质
物理疗法
远程医疗
医疗保健
机械工程
数学
背
解剖
组合数学
工程类
经济
放射科
经济增长
作者
Jing Chen,Mingli Liu,Dalong Sun,Jin Yan,Tianrao Wang,Chuancheng Ren
出处
期刊:Medicine
[Wolters Kluwer]
日期:2018-01-01
卷期号:97 (3): e9605-e9605
被引量:15
标识
DOI:10.1097/md.0000000000009605
摘要
Background: Stroke is one of leading diseases causing adult death and disability worldwide. Home-based telerehabilitation has become a novel approach for stroke patients as effective as conventional rehabilitation, and more convenient and economical than conventional rehabilitation. However, there is no study assessing the mechanism of home-based telerehabilitation in promoting motor recovery among stroke patients with hemiplegic. Aims: This study is designed to determine the efficacy and explore the mechanism of motor recovery after home-based telerehabilitation in stroke patients with motor deficits. Methods/Design: In a single-blinded randomized controlled pilot study, patients with acute subcortical stroke (n = 40) are assigned to receive home-based telerehabilitation or conventional rehabilitation. Task-based or resting-state functional magnetic resonance imaging (rs-fMRI), diffusion tensor imaging (DTI), and Fugl–Meyer assessment (FMA) score will acquired before and after rehabilitation. Activation volume of bilateral primary motor (M1), supplementary motor area (SMA), premotor cortex (PMC); lateralization index (LI) of interhemispheric M1, SMA, and PMC; functional connectivity of bilateral M1, SMA, PMC; fractional anisotropy (FA) will be measured; correlation analyses will be performed between neuroimaging biomarkers and FMA score pre- and postrehabilitation. Discussion: We present a study design and rationale to explore the effectiveness and neural mechanism of home-based rehabilitation for stroke patients with motor deficits. The study limitations related to the small-amount sample. Moreover, home-based rehabilitation may provide an alternative means of recovery for stroke patients. Ultimately, results of this trial will help to understand the neural mechanism of home-based telerehabilitation among stroke patients with hand movement disorder.
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