beverage-specific brain oscillatory changes are occurring and to gain insight into the temporal sequence (“when”) of the involved neural components, we have employed a multimodal neuroimaging methodology. The anatomically constrained MEG (aMEG) analysis stream combines distributed source modeling of the MEG signal with high-resolution structural MRI, yielding “brain movies” that map spectral power estimates across time (Dale and Sereno, 1993; Dale et al., 2000; Lin et al., 2004). Fourth, the oscillations in theta (4–7 Hz) frequency band are particularly sensitive to the effects of chronic alcohol use and risk status as shown by reduced event-related theta power in executive tasks (Kamarajan et al., 2004, 2006; Rangaswamy et al., 2007; Andrew and Fein, 2010). Furthermore, given their high heritability and the genetic links of theta oscillations with alcohol dependence, changes in theta band have been suggested as an endophenotype of vulnerability to alcoholism (Porjesz et al., 2005; Begleiter and Porjesz, 2006). In light of this evidence, it is surprising to note that research on the acute effects of alcohol on theta oscillations has been exceedingly limited (Krause et al., 2002). Fifth, previous EEG studies using cognitive tasks have observed increased theta power during the engagement of executive functions (McEvoy et al.,
