Abstract
Previous researches state vision as a vital source of information for movement control and more precisely for accurate hand movement. Further, fine bimanual motor activity may be associated with 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. In the current study, we investigated task-dependent modulation by simultaneously measuring high time resolution electroencephalogram (EEG), electromyogram (EMG) and force along with bi-manual and unimanual motor tasks. The errors were controlled using visual feedback. To complete the unimanual tasks, the participant was asked to grip the strain gauge using the index finger and thumb of the right hand thereby exerting force on the connected visual feedback system. Whereas the bi-manual task involved finger abduction of the 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 the right hand. Primarily, the existence of visual feedback for the right hand significantly decreased brain network global and local efficiency in theta and alpha bands when compared with the elimination of visual feedback using twenty participants. Brain network activity in theta and alpha bands coordinates to facilitate fine hand movement. The findings may provide new neurological insight on virtual reality auxiliary equipment and participants with neurological disorders that cause movement errors requiring accurate motor training.
Graphical Abstract
The current study investigates task-dependent modulation by simultaneously measuring high time resolution electroencephalogram, electromyogram and force along with bi-manual and unimanual motor tasks. The findings show that visual feedback for right hand decreases the force root mean square error of right hand. Visual feedback for right hand decreases local and global efficiency of brain network in theta and alpha bands.
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The datasets generated and/or analysed during the current study are not publicly available due data privacy but are available from the corresponding author on reasonable request.
Abbreviations
- EEG:
-
Electroencephalogram
- EMG:
-
Electromyogram
- MVC:
-
Maximum voluntary contraction
- rFDI:
-
Right first dorsal interosseous
- lFDI:
-
Left first dorsal interosseous
- CSD:
-
Current source density
- Eloc:
-
Local efficiency
- Eglob:
-
Global efficiency
- RMSE:
-
Root mean square error
- EMG_CV:
-
The coefficient of variation of EMG
- SD:
-
Standard deviation
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Funding
The study was financially supported by the National Natural Science Foundation of China (Grant No. U1913216), National Key Research and Development Program Project (Grant No. 2021YFC2400203).
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JW and YZ design and perform of experiment; JG analyzed data; JG and TL interpreted results of experiment; JG prepared figures and drafted manuscript; JG and AQ modified the grammar; JG, TL, LL, AQ and JW edited and revised manuscript. All authors contributed to the article and approved the submitted version.
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Guo, J., Li, L., Zheng, Y. et al. Effect of Visual Feedback on Behavioral Control and Functional Activity During Bilateral Hand Movement. Brain Topogr 36, 517–534 (2023). https://doi.org/10.1007/s10548-023-00969-6
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DOI: https://doi.org/10.1007/s10548-023-00969-6