Liu Cao1, Dongmei Hao1, Yao Rong1,2, Yanan Zhou1, Mingai Li1, Yunqing Tian3. 1. College of Life and Bioengineering, Beijing University of Technology, Beijing, China. 2. Medical Engineering Division, Xuanwu Hospital, Capital Medical University, Beijing, China. 3. State Intellectual Property Office of the PRC, Beijing, China.
Abstract
OBJECTIVE: To investigate the effect of force level and fatigue on brain activity during handgrip tasks. METHODS: 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. RESULTS: 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). CONCLUSION: 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.
OBJECTIVE: To investigate the effect of force level and fatigue on brain activity during handgrip tasks. METHODS: 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. RESULTS: 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). CONCLUSION: 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.