Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Function connectivity analysis is set to probe the whole-brain network architecture. Only several specific areas have to be focused when a specific modal is considered. To explore the microscopic subnetworks in auditory modality, the mean shift algorithm is proposed to cluster the fMRI time courses in the corresponding activation areas and several heuristic conclusions are obtained. 1) The voxel degree distribution supports scale-free hypothesis, but the exponential is relatively small. 2) More global subnetworks appear in the more abstract cognition process. 3) At least half of the subnetworks are local networks and they seldom cross with each other, acting as independent modules.