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Research
Jue Wang
Xi'an Jiaotong University School of Life Science and Technology
Corresponding Author
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Background: Previous researches state vision as vital source of information for movement control and more precisely for accurate hand movement. Further, fine bimanual motor activity may be associated to various oscillatory activities within distinct brain areas and inter-hemispheric interactions. However, neural coordination among the distinct brain areas responsible to enhance motor accuracy is still not adequate.
Methods: In the current study we investigated task-dependent modulation by simultaneously measuring high time resolution electroencephalogram (EEG), electromyogram (EMG) and force along with bi-maual and uni-manual motor tasks. The errors were controlled using visual feedback. In order to complete the uni-manual tasks, subject was asked to grip the strain gauge using index finger and thumb of right hand thereby exerting force on connected visual feedback system. Whereas the bi-manual task involved finger abduction of left index finger in two contractions along with visual feedback system and at the same time the right hand gripped using definite force on two conditions that whether visual feedback existed or not for right hand.
Results: Primarily, the existence of visual feedback for right hand significantly decreased brain network global and local efficiency in theta and alpha band when compared with the elimination of visual feedback.
Conclusions: Brain network activity in theta and alpha band coordinate to facilitate fine hand movement. The findings may provide a new neurological insight on virtual reality auxiliary equipment and subjects with neurological disorders that cause movement errors requiring accuracy motor training.
Keywords
Visual Feedback, Theta band, Alpha band, Force Accuracy, Efficiency
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Jue Wang
Xi'an Jiaotong University School of Life Science and Technology
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 04 Dec, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Previous researches state vision as vital source of information for movement control and more precisely for accurate hand movement. Further, fine bimanual motor activity may be associated to various oscillatory activities within distinct brain areas and inter-hemispheric interactions. However, neural coordination among the distinct brain areas responsible to enhance motor accuracy is still not adequate.
Methods: In the current study we investigated task-dependent modulation by simultaneously measuring high time resolution electroencephalogram (EEG), electromyogram (EMG) and force along with bi-maual and uni-manual motor tasks. The errors were controlled using visual feedback. In order to complete the uni-manual tasks, subject was asked to grip the strain gauge using index finger and thumb of right hand thereby exerting force on connected visual feedback system. Whereas the bi-manual task involved finger abduction of left index finger in two contractions along with visual feedback system and at the same time the right hand gripped using definite force on two conditions that whether visual feedback existed or not for right hand.
Results: Primarily, the existence of visual feedback for right hand significantly decreased brain network global and local efficiency in theta and alpha band when compared with the elimination of visual feedback.
Conclusions: Brain network activity in theta and alpha band coordinate to facilitate fine hand movement. The findings may provide a new neurological insight on virtual reality auxiliary equipment and subjects with neurological disorders that cause movement errors requiring accuracy motor training.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
The full text of this article is available to read as a PDF.
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