et al., 2015). Further, coherence at the beta frequency may serve to establish transient physiological connections among neurons in the hippocampus and related brain structures (Leung, 1992a; Vecchio et al., 2016a). While local excitatory-inhibitory interactions underlying sensory, motor and perceptual functions involve local gamma-band oscillations, more integrative cognitive functions mediated by long-range cortical interactions often involve the beta range (Donner and Siegel, 2011). Resting-state brain activity in the beta range (herein referred to as beta EEG) is associated with several behavioral traits, including alcohol use disorders (Bauer, 2001; Begleiter and Porjesz, 1999; Choi et al., 2013; Gilmore et al., 2010a; Lee et al., 2014; Rangaswamy et al., 2002). Given these associations, and the high degree of genetic influence observed (Malone et al., 2014; van Beijsterveldt et al., 1996), beta EEG has been proposed as a useful endo-phenotype (Gottesman and Gould, 2003) for identifying genetic risk factors for disorders characterized by disinhibitory traits (Edenberg et al., 2004; Porjesz et al., 2002). Despite the promise of the endo-phenotype concept however, the genetic complexity of resting-state EEG (Malone et al., 2014), coupled with the scant number of replicable and/or clinically useful genetic variants uncovered by this approach (Iacono et al., 2016), has necessitated
