The framework comprises four steps: data preprocessing, feature extraction, feature selection and classification. First, VBM-MRI and FDG-PET scans are acquired and preprocessed under the pipeline, and the features are extracted from brain ROIs using template. Then the features are selected by the proposed method in this paper, and finally we make predictions using MK-SVM classifier.