Literature DB >> 31536007

The Reorganization of Resting-State Brain Networks Associated With Motor Imagery Training in Chronic Stroke Patients.

Hewei Wang, Guojun Xu, Xu Wang, Changhui Sun, Bing Zhu, Mingxia Fan, Jie Jia, Xiaoli Guo, Limin Sun.   

Abstract

A number of studies have suggested that motor imagery training (MIT) has a positive influence on the upper extremity motor recovery in stroke patients, but little is known about its neural basis. To investigate the cortical motor network plasticity after MIT, 34 chronic hemiplegic subjects with subcortical stroke were recruited and randomly allocated to either the conventional rehabilitation therapy (CRT) or the CRT + MIT. The patients were assessed with the upper limb section of Fugl-Meyer assessment Scale (FM-UL) and resting-state fMRI before and after the 4 weeks of treatment. Seed-based functional connectivity (FC) of the ipsilesional primary motor cortex (M1) and graph-theory based analysis were used to explore the relationships between the motor recovery and reorganization of motor networks. We found that the patients in the MIT group showed more improvement in the FM-UL scores compared with the CRT group. Both groups presented increased inter-hemispheric and decreased intra-hemispheric FC of the ipsilesional M1 after intervention. However, the MIT group showed increased FC of the ipsilesional M1 with the ipsilesional precentral and postcentral gyri, middle cingulate gyrus and supramarginal gyrus after intervention, while the CRT group showed decreased FC in these regions. In addition, the clustering coefficient was significantly increased in the MIT group but not in the CRT group, and the increment of clustering coefficient was significantly positively correlated with improvement of FM-UL scores. Therefore, MIT might contribute to the motor recovery in stroke patients through the following network reorganization, i.e., promoting the efficiency of regional neuronal communication and the reorganization of intrinsic FC of the ipsilesional M1 involving widely distributed motor network in both hemispheres.

Entities:  

Year:  2019        PMID: 31536007     DOI: 10.1109/TNSRE.2019.2940980

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  7 in total

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Journal:  Evid Based Complement Alternat Med       Date:  2020-11-24       Impact factor: 2.629

2.  Mental practice for treating upper extremity deficits in individuals with hemiparesis after stroke.

Authors:  Ruth E Barclay; Ted J Stevenson; William Poluha; Brenda Semenko; Julie Schubert
Journal:  Cochrane Database Syst Rev       Date:  2020-05-25

3.  Exploring Alternative Measurements of Cardiorespiratory Fitness in Patients With Mild Ischemic Stroke at Acute Phase.

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Journal:  Front Neurol       Date:  2022-02-09       Impact factor: 4.003

4.  Electroacupuncture Alters BCI-Based Brain Network in Stroke Patients.

Authors:  Zuoting Song; Gege Zhan; Yifang Lin; Tao Fang; Lan Niu; Xueze Zhang; Hongbo Wang; Lihua Zhang; Jie Jia; Xiaoyang Kang
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5.  Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach.

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Journal:  Neural Plast       Date:  2022-03-20       Impact factor: 3.599

6.  Effectiveness of Tai Chi Yunshou motor imagery training for hemiplegic upper extremity motor function in poststroke patients: study protocol for a randomized clinical trial.

Authors:  Lin Hong Jiang; Li Juan Zhao; Yang Liu; Hong Zhang; Si Cong Zhang; Wei Qin Cong; Rui Qi
Journal:  Trials       Date:  2022-04-21       Impact factor: 2.728

7.  Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study.

Authors:  Mengjiao Hu; Hsiao-Ju Cheng; Fang Ji; Joanna Su Xian Chong; Zhongkang Lu; Weimin Huang; Kai Keng Ang; Kok Soon Phua; Kai-Hsiang Chuang; Xudong Jiang; Effie Chew; Cuntai Guan; Juan Helen Zhou
Journal:  Front Hum Neurosci       Date:  2021-07-16       Impact factor: 3.169

  7 in total

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