An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity
Corticomuscular coupling estimated by EEG-EMG coherence may reveal functional cortical driving of peripheral muscular activity. EEG-EMG coherence in the beta band (15–30 Hz) has been extensively studied under isometric muscle contraction tasks. We attempted to study the time-course of corticomuscula...
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doaj-b5ec2b0770c6411e9debae32c68f37432020-11-25T03:56:01ZengSAGE PublishingBiomedical Engineering and Computational Biology1179-59722010-01-01210.4137/BECB.S5546An Event-Related Study for Dynamic Analysis of Corticomuscular ConnectivityOu Bai0Dandan Huang1Peter Lin2Jinglong Wu3Xuedong Chen4Ding-Yu Fei5Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.EEG and BCI Laboratory, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23059, USA.Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.Biomedical Engineering Laboratory, Graduate School of Natural Science and Technology, Okayama University, Okayama 700–8530. Japan.State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P.R. China.EEG and BCI Laboratory, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23059, USA.Corticomuscular coupling estimated by EEG-EMG coherence may reveal functional cortical driving of peripheral muscular activity. EEG-EMG coherence in the beta band (15–30 Hz) has been extensively studied under isometric muscle contraction tasks. We attempted to study the time-course of corticomuscular connectivity under a dynamic target tracking task. A new device was developed for the real-time measurement of dynamic force created by pinching thumb and index fingers. Four healthy subjects who participated in this study were asked to track visual targets with the feedback forces. Spectral parameters using FFT and complex wavelet were explored for reliable estimation of event-related coherence and EEG-EMG correlogram for representing corticomuscular connectivity. Clearly distinguishable FFT-based coherence and cross-correlogram during the visual target tracking were observed with appropriate hyper-parameters for spectral estimation. The system design and the exploration of signal processing methods in this study supports further exploration of corticomuscular connectivity associated with human motor control.https://doi.org/10.4137/BECB.S5546 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ou Bai Dandan Huang Peter Lin Jinglong Wu Xuedong Chen Ding-Yu Fei |
spellingShingle |
Ou Bai Dandan Huang Peter Lin Jinglong Wu Xuedong Chen Ding-Yu Fei An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity Biomedical Engineering and Computational Biology |
author_facet |
Ou Bai Dandan Huang Peter Lin Jinglong Wu Xuedong Chen Ding-Yu Fei |
author_sort |
Ou Bai |
title |
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity |
title_short |
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity |
title_full |
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity |
title_fullStr |
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity |
title_full_unstemmed |
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity |
title_sort |
event-related study for dynamic analysis of corticomuscular connectivity |
publisher |
SAGE Publishing |
series |
Biomedical Engineering and Computational Biology |
issn |
1179-5972 |
publishDate |
2010-01-01 |
description |
Corticomuscular coupling estimated by EEG-EMG coherence may reveal functional cortical driving of peripheral muscular activity. EEG-EMG coherence in the beta band (15–30 Hz) has been extensively studied under isometric muscle contraction tasks. We attempted to study the time-course of corticomuscular connectivity under a dynamic target tracking task. A new device was developed for the real-time measurement of dynamic force created by pinching thumb and index fingers. Four healthy subjects who participated in this study were asked to track visual targets with the feedback forces. Spectral parameters using FFT and complex wavelet were explored for reliable estimation of event-related coherence and EEG-EMG correlogram for representing corticomuscular connectivity. Clearly distinguishable FFT-based coherence and cross-correlogram during the visual target tracking were observed with appropriate hyper-parameters for spectral estimation. The system design and the exploration of signal processing methods in this study supports further exploration of corticomuscular connectivity associated with human motor control. |
url |
https://doi.org/10.4137/BECB.S5546 |
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