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 . 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 . 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.
Understanding the brain features behind adolescent binge drinking and other substance use will aid clinical assessment and help in design of prevention and intervention programs and strategies that limit risk taking opportunity and construct healthier outlets for teenagers. In the future, multi-domain risk taking assessment (e.g., neuropsychological testing, brain imaging, personality) may be used to identify and guide high-risk teenagers, which could advantageously reduce costs to the healthcare and criminal justice system overall.
|Squeglia, Lindsay M; Brammer, Whitney A; Ray, Lara A et al. (2016) Attention Deficit/Hyperactivity Disorder (ADHD) Symptoms Predict Alcohol Expectancy Development. J Child Adolesc Subst Abuse 25:159-179|
|Squeglia, Lindsay M; Sorg, Scott F; Jacobus, Joanna et al. (2015) Structural connectivity of neural reward networks in youth at risk for substance use disorders. Psychopharmacology (Berl) 232:2217-26|
|Brumback, Ty; Squeglia, Lindsay M; Jacobus, Joanna et al. (2015) Adolescent heavy drinkers' amplified brain responses to alcohol cues decrease over one month of abstinence. Addict Behav 46:45-52|
|Squeglia, Lindsay M; Tapert, Susan F; Sullivan, Edith V et al. (2015) Brain development in heavy-drinking adolescents. Am J Psychiatry 172:531-42|
|Sorg, Scott F; Squeglia, Lindsay M; Taylor, Michael J et al. (2015) Effects of aging on frontal white matter microstructure in alcohol use disorder and associations with processing speed. J Stud Alcohol Drugs 76:296-306|
|Squeglia, Lindsay M; Rinker, Daniel A; Bartsch, Hauke et al. (2014) Brain volume reductions in adolescent heavy drinkers. Dev Cogn Neurosci 9:117-25|
|Jacobus, Joanna; Squeglia, Lindsay M; Sorg, Scott F et al. (2014) Cortical thickness and neurocognition in adolescent marijuana and alcohol users following 28 days of monitored abstinence. J Stud Alcohol Drugs 75:729-43|
|Squeglia, L M; Jacobus, J; Brumback, T et al. (2014) White matter integrity in alcohol-naive youth with a family history of alcohol use disorders. Psychol Med 44:2775-86|
|Squeglia, Lindsay M; Jacobus, Joanna; Nguyen-Louie, Tam T et al. (2014) Inhibition during early adolescence predicts alcohol and marijuana use by late adolescence. Neuropsychology 28:782-90|
|Squeglia, Lindsay M; Boissoneault, Jeff; Van Skike, Candice E et al. (2014) Age-related effects of alcohol from adolescent, adult, and aged populations using human and animal models. Alcohol Clin Exp Res 38:2509-16|
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