Modern neuroscience views the brain as a complex organ with multiple, specialized, and interactive networks of distributed anatomical regions that support functions most basic to higher-order cognition [23,24,25]. Evidence from fMRI, electroencephalogram, (EEG), magnetoencephalogram (MEG), and other imaging studies also support the view that neurocognitive processing arise from coordinated networks of distributed brain areas [23,26,27,28] that mediate fundamental aspects of cognitive domains, including attention, perception, memory, language, and motor processing [29,30,31]. These large-scale brain networks also underlie cognitive and affective dysfunction in psychiatric and neurological disorders [32], including addiction [33]. Therefore, in order to understand the neurocognitive mechanism of alcohol addiction, it is vital to investigate functional integrity of the networks as well as neuropsychological functioning of individuals with AUD. At the behavior level, AUD is also characterized by increased impulsivity [34,35,36] and associated brain networks [10,37,38]. Therefore, it is desirable that any predictive model of AUD using brain network features should also include representative features from neurocognitive as well as impulsivity measures.
