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- W2373062403 abstract "The community detecting algorithm was applied to human functional network to explore the mechanism of human brain.The brain functional data of 28 healthy subjects were collected by functional Magnetic Resonance Imaging(fMRI),and the brain functional network of human beings based on time series was constructed.A threshold range of vertices in the network was designated according to modularity and full connected network theory.The community structures were detected by using the hierarchical clustering algorithm and the greedy algorithm respectively,and the experimental results show that similar community structures have been obtained.Then different performances can be explored across the threshold by analyzing the modularity.An effective threshold range of vertices between 180 to 320 in brain network was proposed.Exploring the community structure is helpful to comprehend the mechanism of brain lesions,which provides a tool for diagnosis and treatment of brain diseases." @default.
- W2373062403 created "2016-06-24" @default.
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- W2373062403 date "2012-01-01" @default.
- W2373062403 modified "2023-09-24" @default.
- W2373062403 title "Research into community structure of resting-state brain functional network" @default.
- W2373062403 hasPublicationYear "2012" @default.
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