Motor network reorganization in stroke patients with dyskinesias during a shoulder-touching task:A fNIRS study  

作　　者：Yizheng Zhang Dan Wang Dongyang Wang Kecheng Yan Li Yi Shuoshu Lin Guangjian Shao Zhiyong Shao Jinyan Sun Aoran Yang 

机构地区：[1]School of Mechatronic Engineering and Automation Foshan University,Foshan,P.R.China [2]Department of Traditional Chinese Medicine Beijing Rehabilitation Hospital of Capital Medical University Beijing,P.R.China [3]School of Medicine,Foshan University Foshan,P.R.China

出　　处：《Journal of Innovative Optical Health Sciences》2023年第6期31-42,共12页创新光学健康科学杂志（英文）

基　　金：was supported by the National Key Research and Development Program of China(Nos.2020YFC2004300,2020YFC2004303 and 2020YFC2004302);the National Natural Science Foundation of China(Nos.32000980 and 82171533);the Guangdong Basic and Applied Basic Research Foundation(Nos.2022A1515140142,2019A1515110427 and 2020B1515120014);the Key Laboratory Program of Guangdong Higher Education Institutes(No.2020KSYS001)。

摘　　要：Hemiplegia after stroke has become a major cause of the world's high disabilities,and it is vital to enhance our understanding of post-stroke neuroplasticity to develop e±cient rehabilitation programs.This study aimed to explore the brain activation and network reorganization of the motor cortex(MC)with functional near-infrared spectroscopy(fNIRS).The MC hemodynamic signals were gained from 22 stroke patients and 14 healthy subjects during a shoulder-touching task with the right hand.The MC activation pattern and network attributes analyzed with the graph theory were compared between the two groups.The results revealed that healthy controls presented dominant activation in the left MC while stroke patients exhibited dominant activation in the bilateral hemispheres MC.The MC networks for the two groups had small-world properties.Compared with healthy controls,patients had higher transitivity and lower global e±ciency(GE),mean connectivity,and long connections(LCs)in the left MC.In addition,both MC activation and network attributes were correlated with patient's upper limb motor function.The results showed the stronger compensation of the unaffected motor area,the better recovery of the upper limb motor function for patients.Moreover,the MC network possessed high clustering and relatively sparse inter-regional connections during recovery for patients.Our results promote the understanding of MC reorganization during recovery and indicate that MC activation and network could provide clinical assessment signi¯cance in stroke patients.Given the advantages of fNIRS,it shows great application potential in the assessment and rehabilitation of motor function after stroke.

关 键 词：Functional near-infrared spectroscopy STROKE brain network motor function reorganization. 

分 类 号：R742[医药卫生—神经病学与精神病学]