impulsivity factors, compared to unaffected controls, as elicited by a classification algorithm such as Random Forest [36]. We expect that the RF algorithm will identify specific connections in different frequency bands across the DMN nodes, especially in frontal regions and their long-range connections with other regions, together with neuropsychological and impulsivity features that are significantly important to classify AUD subjects from unaffected controls.
