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Investigating the modulation of brain activity associated with handgrip force and fatigue.

Authors :
Liu Cao
Dongmei Hao
Yao Rong
Yanan Zhou
Mingai Li
Yunqing Tian
Cao, Liu
Hao, Dongmei
Rong, Yao
Zhou, Yanan
Li, Mingai
Tian, Yunqing
Source :
Technology & Health Care. 2015 Supplement, Vol. 23, pS427-S433. 7p.
Publication Year :
2015

Abstract

<bold>Objective: </bold>To investigate the effect of force level and fatigue on brain activity during handgrip tasks.<bold>Methods: </bold>Electroencephalography (EEG) signals were recorded from eleven healthy male subjects when they performed 25%, 50% and 75% maximal voluntary contraction (MVC), and were in fatigue state. EEG powers in different handgrip tasks were analyzed in the frequency domain and time domain respectively.<bold>Results: </bold>The EEG power at 25%MVC was significantly lower than that at 75%MVC in gamma band (p< 0.05) for electrode C3, C4, Cz, Pz and Fz. EEG power at 25%MVC was also significantly lower than that at 75%MVC in beta band (p< 0.05) for electrode C3. However, the handgrip force level and fatigue did not affect the EEG powers for the other frequencies and electrodes (p> 0.05).<bold>Conclusion: </bold>The results suggest that handgrip force level may modulate the brain activity in certain frequency bands and cortical regions. EEG power is a useful tool to characterize the motor state. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09287329
Volume :
23
Database :
Academic Search Index
Journal :
Technology & Health Care
Publication Type :
Academic Journal
Accession number :
110209846
Full Text :
https://doi.org/10.3233/THC-150979