The findings of the present study have shown that features from all three domains have contributed to the classification of AUD from CTL individuals, as shown in the list of important variables identified by the RF model (see Table 2 and Figure 2 and Figure 3). The implications of these findings are the identification of potential biomarkers of alcoholism, which may include a combination of altered DMN FC (local hyperconnectivity at the frontal and parietal regions and long-range hypoconnectivity across the anterior–posterior and interhemispheric connections), coupled with poor neuropsychological performance and increased impulsivity. These findings may aid in designing intervention programs for AUD. Nevertheless, our study has several limitations that future studies may aim to overcome: First, the age difference between AUD and CTL groups was significant as the groups were not matched for age. Despite this limitation on the age difference, the findings may still be valid as there were no systematic correlations across age and the top significant variables. However, we do acknowledge that age matching across the groups may be crucial as functional connectivity changes due to
