Introduction to machine learning for brain imaging

► In this work we introduce basic machine learning concepts from a practical perspective. ► Potential pitfalls of applying these concepts to brain imaging data are discussed. ► Particularly, we elaborate on proper cross-validation schemes for fair model evaluation. ► The diligent selection of the best model from a set of competing models is also treated.