Introduction to the scripts: 

1. CV_ADHD_Classification.m  --  The main function
2. Di_CV_Classify.m  --  The function for a single CV process
3. MLT_BetWitRatioRank.m  --  A filter feature selection method uses the ratio of between-class sum of square to within-class sum of sqaure
4. MLT_SVMRFE.m  --  A wrapper feature selection method SVM-RFE
5. MLT_SVMcgForClass2.m  --  The function searches the best parameters for SVM with RBF kernel using grid search and cross validation

Note that you have to prepare features by yourself.

Download Link: ADHD_Classification_Code