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Then, we extract three sets of brainregion specific features from the connectivity hypernetworks, and further exploit a manifold regularized multitask feature selection method to jointly select the most discriminative features Finally, we use multikernel support vector machine (SVM) for classification The experimental results on both MCIImage segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brains anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgicalOther methods of observing networks and connectivity in the brain include the seedbased d mapping and region of interest (ROI) methods of analysis In these cases, signal from only a certain voxel or cluster of voxels known as the seed or ROI are used to calculate correlations with other vo...