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A Numerical Approach to Calculation and Analysis of Characteristics of Brain Functional Response to Grip Test |
School of Biomedical Engineering, Capital Medical University, Beijing 100069, China |
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Abstract In order to investigate the characteristics of human brain's responses to different gripping force tests, we proposed a novel numerical approach, combining the independent component analysis (ICA) and the cloud model. Firstly, we obtained ten subjects' fMRI image data from MRI scanner under different experimental conditions, and preprocessed those fMRI raw data, then the ICA was used to determine the brain active regions of different tasks, and the cloud model was applied to explore the numerical distribution characteristics of the activated voxels in activated regions under different grip force tests. The results showed that the activated regions mainly located at the contralateral cerebrum such as Brodmann area 2, 3, 4, 6 and ipsilateral cerebellum, and with the increasement of grip force, the number of the activated voxels in precentral gyrus and postcentral gyrus increased (cluster size: 4 075, 4 218, 4 965). In the activated region, the characteristic parameters of cloud model such as expectation, entropy, hyperentropy (Ex, En, He) showed significant differences between task state and control state of different force conditions. The Ex (P<0.001) and En (P<0.005) were significantly increased while the He (P<0.005) was significantly decreased. But these parameters had no significant differences between different force conditions. In the unactivated region, the Ex、En、He had no significant differences between task and control state. The proposed method can be used to investigate the numerical distribution characteristics of brain's response to different tasks in future.
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