used for the EEG data. 2000 sample bootstrapping was applied with Pearson’s correlation, and the significance level was set at 0.050. IGD = Internet gaming disorder; AUD = alcohol use disorder; HC = healthy control; EEG = electroencephalography. Next, hierarchical multiple regressions were conducted to determine the relationships between intrahemispheric gamma coherence and the IAT scores in all three groups. Several models were constructed to predict the IAT score: Model 1 included only F4-C4 gamma coherence as a dependent variable; Model 2 included the demographic variables (age, education, and IQ) and the factors included in Model 1; and Model 3 included the psychological variables (Beck Depression Inventory-II [BDI-II], Beck Anxiety Inventory [BAI], and Barratt Impulsiveness Scale-11 [BIS-11]) and the factors included in Model 2. The effect of F4-C4 gamma coherence in terms of predicting the IAT score remained significant after the demographic variables were input (B = 5.268, P = 0.017 in Model 1 and B = 5.055, P = 0.025 in Model 2; Table 3) and age was a significant factor for predicting IAT scores in Model 2 (B = −1.011, P = 0.017). However, Model 3 did not significantly change from Model 2 (∆ P > 0.050).Table 3Hierarchical
