As standard and extreme binge drinking are important risk factors for AUD development (Knight et al., 2002; Linden- Carmichael et al., 2017), there is significant interest in studying their neurobiological underpinnings, such as the intrinsic communications of different brain regions measured by resting-state functional magnetic resonance imaging (fMRI; Biswal et al., 1995). This intrinsic network architecture is replicable across different datasets (Power et al., 2011; Seitzman et al., 2020; Yeo et al., 2011), is highly similar during rest and tasks, and is argued to define functional brain systems (Cole et al., 2014). Importantly, impairments in several networks during both resting and tasks were found in addiction (Zilverstand et al., 2018). This similarity in abnormal large-scale brain networks in addiction across both resting-state and tasks highlights the importance of resting-state fMRI. Furthermore, resting-state fMRI has been proposed to be a useful neuroimaging biomarker of AUD. Particularly, in moderate to heavy drinkers, resting-state fMRI outperformed other measurements (structural MRI, reward and face matching fMRI, and demographic information including age, IQ, education, and gender) in predicting AUD severity in untrained data (Fede et al., 2019). Therefore, it is important to study changes in resting-state functional connectivity as a function of binge drinking.
