Literature DB >> 26151748

Reorganization of Motor Execution Networks During Sub-Acute Phase After Stroke.

Lin Cheng, Zhiyuan Wu, Junfeng Sun, Yi Fu, Xinning Wang, Guo-Yuan Yang, Fei Miao, Shanbao Tong.   

Abstract

Numerous studies focused on brain reorganization after stroke from aspects of task-related brain activity and resting-state brain networks. However, studies focusing on the longitudinal reorganization of task-state brain networks were scarce. In this study, functional magnetic resonance imaging data were collected from twelve stroke patients during blocked finger-tapping task at four post-stroke time points (less than 10 days, around 2 weeks, 1 month and 3 months), respectively. The dynamic changes and prognostic value of the network parameters (i.e., topological parameters, functional connectivity and nodal parameters) in task-state motor execution networks were thoroughly evaluated. We found that the topological configuration (clustering coefficient and characteristic path length) of task-state motor execution networks underwent significant shift during stroke recovery. Especially, we found the topological configuration of task-state motor execution networks at the early recovery stage were capable of predicting the motor function restoration during sub-acute phase. In addition, we found increasing functional connectivity between ipsilesional cerebellum and motor cortices in task-state motor execution networks. In general, this study demonstrated the reorganization and prognostic value of task-state brain network after stroke, which provides new insights into understanding the brain reorganization and rehabilitation after stroke.

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Year:  2015        PMID: 26151748     DOI: 10.1109/TNSRE.2015.2401978

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


  6 in total

1.  Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage.

Authors:  Xiaobing Zhang; Xuebin Yu; Qingquan Bao; Liming Yang; Yu Sun; Peng Qi
Journal:  Med Biol Eng Comput       Date:  2019-02-09       Impact factor: 2.602

2.  Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery.

Authors:  Gavin R Philips; Janis J Daly; José C Príncipe
Journal:  J Neuroeng Rehabil       Date:  2017-07-06       Impact factor: 4.262

3.  Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task.

Authors:  Yang Zhu; Lin Cheng; Naying He; Yang Yang; Huawei Ling; Hasan Ayaz; Shanbao Tong; Junfeng Sun; Yi Fu
Journal:  Comput Math Methods Med       Date:  2017-01-16       Impact factor: 2.238

4.  Weakened Effective Connectivity Related to Electroacupuncture in Stroke Patients with Prolonged Flaccid Paralysis: An EEG Pilot Study.

Authors:  Yi-Fang Lin; Xin-Hua Liu; Zheng-Yu Cui; Zuo-Ting Song; Fei Zou; Shu-Geng Chen; Xiao-Yang Kang; Bin Ye; Qiang Wang; Jing Tian; Jie Jia
Journal:  Neural Plast       Date:  2021-03-09       Impact factor: 3.599

5.  Functional Activation-Informed Structural Changes during Stroke Recovery: A Longitudinal MRI Study.

Authors:  Zhiyuan Wu; Lin Cheng; Guo-Yuan Yang; Shanbao Tong; Junfeng Sun; Fei Miao
Journal:  Biomed Res Int       Date:  2017-10-24       Impact factor: 3.411

6.  Changes in EEG Brain Connectivity Caused by Short-Term BCI Neurofeedback-Rehabilitation Training: A Case Study.

Authors:  Youhao Wang; Jingjing Luo; Yuzhu Guo; Qiang Du; Qiying Cheng; Hongbo Wang
Journal:  Front Hum Neurosci       Date:  2021-06-24       Impact factor: 3.169

  6 in total

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