Average comodulogram for each participant visit was calculated for the first two minutes of the resting state task (first 4 comodulograms) to maximize the likelihood that participants were relaxed and awake but not drowsy. Statistical analyses were conducted on the resulting set of average comodulograms. For each phase-amplitude frequency pair in the 224 x 224 comodulogram matrix, PAC strength from AUD and unaffected participants were compared using Mann-Whitney non-parametric t-test. Mean differences between the AUD and unaffected groups and resulting p-values were written to corresponding frequency pair in 224 x 224 effect size and significance matrices, respectively. Once all frequency pairs had been tested, the significance matrix was used to identify any clusters of adjacent frequency pairs where PAC differences were significant. The significant PAC clusters from this initial set were then further tested by comparing PAC strength across the phase-amplitude frequency pair domain within which each of these clusters were situated. For each participant, all PAC values falling within the specified frequency pair domains were averaged, grouped by AUD diagnosis, then compared using non-parametric Mann-Whitney test for significance testing.
