involving several networks and found that individuals with AUD exhibited within-network hyperconnectivity in DMN, salience, orbitofrontal cortex, left executive control and amygdala-striatum networks. Recently, in another fMRI FC study using random forest (RF), Zhu et al. [29] reported that executive control networks showed the strongest prediction accuracy among the within-network features, while the connectivity between DMN and reward network as well as between executive control network and reward network contributed more to the predictive accuracy in classifying AUD from controls. Recently, using the same groups of individuals as the current study, we have also reported aberrant fMRI based FC across the DMN regions in AUD individuals [54]. In sum, these fMRI based FC studies in resting state revealed aberrations in AUD in DMN and other resting state networks.
