Brain Structural and Functional Predictors of Adolescent Alcohol Use

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DESCRIPTION (provided by applicant): Neuroimaging studies have shown that extensive cortical maturation (e.g., reductions in gray matter cortical thickness) occurs during adolescence, which correspond to more efficient and mature brain functioning. These ongoing maturational processes parallel significant increases in adolescent risk taking, particularly binge drinking (i.e., >4 drinks for females, >5 drinks for males on one occasion), with almost 25% of high school seniors reporting binge drinking in the past 2 weeks [34]. Binge drinking is of great public health concern as it increases an adolescent's likelihood of engaging in other risky behaviors like drunk driving, riding with an impaired driver, violence, unsafe sex, and other substance use [40]. Proclivity to engage in risk taking behaviors such as binge drinking during adolescence appears to have a large neurobiological component, but the link between brain functioning and risky binge drinking has not been clearly defined. Emerging evidence suggests that abnormalities in alcohol-naive adolescents' brain response might contribute to future substance use [41, 63], particularly reaction to tasks of working memory [7, 20, 68]. Understanding the neurological contribution to the initiation or substance use will help disentangle predisposing risk factors from insults incurred due to binge drinking and will help determine appropriate prevention and intervention techniques for adolescents. Therefore, the aim of this investigation is to prospectively examine brain structure using: (1) cortical thickness indices and (2) brain response to a working memory task using fMRI in a sizable longitudinal sample of adolescents (N>120), first studied before they have ever drank alcohol, to see if brain structure and function predispose adolescents to future heavy drinking. This research will clarify the effects of brain structure and functioning on initiating heavy drinking during adolescence, using advanced multimodal imaging techniques, and will identifying neural risk markers to target prevention and intervention efforts.