Literature DB >> 19273041

Cerebral plasticity after subcortical stroke as revealed by cortico-muscular coherence.

Fei Meng1, Kai-Yu Tong, Suk-Tak Chan, Wan-Wa Wong, Ka-Him Lui, Kwok-Wing Tang, Xiaorong Gao, Shangkai Gao.   

Abstract

The latency estimation of cortico-muscular coherence (CMCoh) could provide valuable information, especially for the pathological study. However, the conduction time from the central cortical rhythm to peripheral oscillations has not been explored for stroke patients. In this study one recently proposed method, maximizing coherence, was applied into the coherence analysis to estimate the latency by which the extensor carpi radialis electromyographic signals lagged behind the electroencephalographic time series with seven subcortical stroke subjects. Significantly prolonged conduction time was found in affected sides compared with the unaffected sides. The interhemispheric spatial displacement was also calculated using electrodes projection optimization and spherical surface laplacian. The results showed that the CMCoh could help investigate the cerebral reorganization after stroke.

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Year:  2008        PMID: 19273041     DOI: 10.1109/TNSRE.2008.2006209

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


  9 in total

1.  Applying support vector regression analysis on grip force level-related corticomuscular coherence.

Authors:  Yao Rong; Xixuan Han; Dongmei Hao; Liu Cao; Qing Wang; Mingai Li; Lijuan Duan; Yanjun Zeng
Journal:  J Comput Neurosci       Date:  2014-04-24       Impact factor: 1.621

2.  Quantifying connectivity via efferent and afferent pathways in motor control using coherence measures and joint position perturbations.

Authors:  S Floor Campfens; Alfred C Schouten; Michel J A M van Putten; Herman van der Kooij
Journal:  Exp Brain Res       Date:  2013-05-12       Impact factor: 1.972

3.  Altered Corticomuscular Coherence (CMCoh) Pattern in the Upper Limb During Finger Movements After Stroke.

Authors:  Ziqi Guo; Qiuyang Qian; Kiufung Wong; Hanlin Zhu; Yanhuan Huang; Xiaoling Hu; Yongping Zheng
Journal:  Front Neurol       Date:  2020-05-14       Impact factor: 4.003

4.  Abnormal functional corticomuscular coupling after stroke.

Authors:  Xiaoling Chen; Ping Xie; Yuanyuan Zhang; Yuling Chen; Shengcui Cheng; Litai Zhang
Journal:  Neuroimage Clin       Date:  2018-04-04       Impact factor: 4.881

5.  Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study.

Authors:  Tie Liang; Qingyu Zhang; Xiaoguang Liu; Bin Dong; Xiuling Liu; Hongrui Wang
Journal:  J Neuroeng Rehabil       Date:  2021-05-04       Impact factor: 4.262

6.  Cross-frequency and iso-frequency estimation of functional corticomuscular coupling after stroke.

Authors:  Ping Xie; Xiaohui Pang; Shengcui Cheng; Yuanyuan Zhang; Yinan Yang; Xiaoli Li; Xiaoling Chen
Journal:  Cogn Neurodyn       Date:  2020-09-16       Impact factor: 3.473

7.  Using Corticomuscular Coherence to Reflect Function Recovery of Paretic Upper Limb after Stroke: A Case Study.

Authors:  Yang Zheng; Yu Peng; Guanghua Xu; Long Li; Jue Wang
Journal:  Front Neurol       Date:  2018-01-10       Impact factor: 4.003

8.  Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study.

Authors:  Xiaoling Chen; Ping Xie; Yuanyuan Zhang; Yuling Chen; Fangmei Yang; Litai Zhang; Xiaoli Li
Journal:  Front Neurol       Date:  2018-05-01       Impact factor: 4.003

Review 9.  Unveiling neural coupling within the sensorimotor system: directionality and nonlinearity.

Authors:  Yuan Yang; Julius P A Dewald; Frans C T van der Helm; Alfred C Schouten
Journal:  Eur J Neurosci       Date:  2017-10-06       Impact factor: 3.386

  9 in total

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