not always been observed (Zahr et al., 2017). Instead, fronto-fugal circuits, including frontocerebellar, frontolimbic, and frontostriatal networks affected by AUD, have been proposed to underlie some of the distinct cognitive and motor function impairments observed in AUD (Sullivan and Pfefferbaum, 2005, Thiebaut de Schotten et al., 2015). Generally, bivariate correlations have been used to examine the association of either volume or diffusion characteristics with performance on neuropsychological tests in AUD (e.g., Colrain et al., 2011, Pitel et al., 2012a). However, often ignored is the association of impairments in circuit-related systems with cognitive and motor impairments. For example, several studies on long-term alcohol use/exposure using structural magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) have shown reduced volume in cortical and subcortical gray matter (GM) regions (De Bellis et al., 2000, Kroenke et al., 2014, Treit et al., 2013, Zahr and Pfefferbaum, 2017), and white matter (WM) microstructural tissue abnormalities (Bagga et al., 2014, Monnig et al., 2013, Thayer et al., 2013, Zahr and Pfefferbaum, 2017, Zorlu et al., 2014), suggesting their role in cognitive impairments. However, few studies have investigated the relationship of volumetric and/or diffusion characteristics with performance on neuropsychological tests (e.g., Chanraud et al., 2009, Schulte et
