Rationale Adolescent binge drinking is concerning, as important neurodevelopments occur during this stage. Previous research suggests that binge drinking may disrupt typical brain development, and females may be particularly vulnerable. Objectives We used magnetic resonance imaging (MRI) to examine cortical thickness in adolescent females and males with and without histories of binge drinking. Methods Participants (N=59) were 16–19-year-old adolescents recruited from local schools. Recent binge drinkers (n=29, 48% female) were matched to non-drinkers (n=30, 50% female) on age, gender, pubertal development, and familial alcoholism. Participants completed a neuropsychological battery and MRI session. Cortical surfaces were reconstructed with FreeSurfer. Results Binge × gender interactions (p<.05) were seen for cortical thickness in four left frontal regions: frontal pole, pars orbitalis, medial orbital frontal, and rostral anterior cingulate. For all interactions, female bingers had thicker cortices than female controls, while male bingers had thinner cortices than male controls. Thicker left frontal cortices corresponded with poorer visuospatial, inhibition, and attention performances for female bingers (r=−0.69 to 0.50, p<0.05) and worse attention for male bingers (r=−0.69, p=0.005). Conclusions Adolescent females with recent binge drinking showed ~8% thicker cortices in left frontal regions than demographically similar female non-drinkers, which was linked to worse visuospatial, inhibition, and attention performances. In contrast, adolescent binge-drinking males showed ~7% thinner cortices in these areas than non-drinking males. These cross-sectional data suggest either different gray matter risk factors for males as for females toward developing heavy drinking, or differential adverse sequelae.

Rationale Response inhibition abnormalities contribute to several maladaptive behaviors commonly observed during adolescence, including heavy drinking. Objectives The present study aimed to determine whether abnormalities in brain response during response inhibition predate or follow adolescents' transition into heavy drinking, which is pivotal in identifying the neural antecedents and consequences of adolescent alcohol use. Methods Longitudinal functional magnetic resonance imaging (fMRI) acquired during a response inhibition task was collected on adolescents before the onset of heavy drinking, and then again on the same scanner approximately 3 years later. Adolescents who transitioned into heavy drinking (n=20) were matched to continuously nondrinking adolescents (n=20) on baseline and follow-up demographic and developmental variables. Results During no-go relative to go trials, participants showed responses common to inhibitory circuitry: frontal (e.g., pre-supplementary motor area), temporal, and parietal regions. A repeated measures analysis of covariance revealed that adolescents who later transitioned into heavy drinking showed less fMRI response contrast at baseline than continuous nondrinkers in frontal, parietal, subcortical, and cerebellar regions (p < .01, clusters > 756 microliters), then increased activation after the onset of heavy drinking in frontal, parietal, and cerebellar areas. Conclusions Future heavy drinkers showed less activation of inhibitory circuitry before the onset of heavy drinking. After transitioning into heavy drinking, they showed more activation during response inhibition than nondrinking controls. These results contribute to the growing literature suggesting that neural vulnerabilities exist prior to the onset of substance use, and the initiation of heavy drinking may lead to additional alterations in brain functioning.

ABSTRACT. Objective: Many adolescents engage in heavy alcohol use. The aim of this study was to disentangle whether brain abnormalities seen in adolescent heavy drinkers are a consequence of heavy drinking, a preexisting risk factor for initiation of alcohol use, or both. Method: Study 1 used cross-sectional functional magnetic resonance imaging (fMRI) visual working-memory (VWM) data from 15-to 19-year-olds (20 heavy drinkers, 20 controls) to identify brain regions affected by heavy adolescent alcohol use. Study 2 used longitudinal fMRI VWM data from 12-to 16-year-olds imaged before the onset of drinking and imaged again on the same scanner approximately 3 years later. Those who had transitioned into heavy drinking (n = 20) were matched to continuous nondrinkers (n = 20) on baseline alcohol risk and developmental factors (N = 40; 80 scans). Results: Study 1 found that heavy drinkers exhibited more frontal and parietal but less occipital activation than controls, defi ning the regions of interest for Study 2. In Study 2, adolescents who later transitioned into heavy drinking showed less fMRI response contrast at baseline than continuous nondrinkers, which increased after the onset of heavy drinking, in frontal (1,431 µL, p = .003; η 2 = .19) and parietal (810 µL, p = .005; η 2 = .23) regions, as in Study 1. Lower baseline activation in the frontal and parietal regions predicted subsequent substance use, more so than commonly observed predictors of youth drinking (p < .05). Conclusions: Adolescents who initiated heavy drinking showed different brain activation before the onset of drinking, then less effi cient information processing after high-dose alcohol use started. This suggests neural response patterns that could be risk factors for future substance use and also supports prior neuropsychological reports indicating that initiating heavy episodic drinking in adolescence may be followed by subtle alterations in brain functioning. (J. Stud. Alcohol Drugs, 73, 749-760, 2012)

Background Alcohol-induced blackouts, or memory loss for all or portions of events that occurred during a drinking episode, are reported by approximately 50% of drinkers and are associated with a wide range of negative consequences, including injury and death. As such, identifying the factors that contribute to and result from alcohol-induced blackouts is critical in developing effective prevention programs. Here, we provide an updated review (2010–2015) of clinical research focused on alcohol-induced blackouts, outline practical and clinical implications, and provide recommendations for future research. Methods A comprehensive, systematic literature review was conducted to examine all articles published between January 2010 through August 2015 that focused on examined vulnerabilities, consequences, and possible mechanisms for alcohol-induced blackouts. Results Twenty-sex studies reported on alcohol-induced blackouts. Fifteen studies examined prevalence and/or predictors of alcohol-induced blackouts. Six publications described consequences of alcohol-induced blackouts, and five studies explored potential cognitive and neurobiological mechanisms underlying alcohol-induced blackouts. Conclusions Recent research on alcohol-induced blackouts suggests that individual differences, not just alcohol consumption, increase the likelihood of experiencing an alcohol-induced blackout, and the consequences of alcohol-induced blackouts extend beyond the consequences related to the drinking episode to include psychiatric symptoms and neurobiological abnormalities. Prospective studies and a standardized assessment of alcohol-induced blackouts are needed to fully characterize factors associated with alcohol-induced blackouts and to improve prevention strategies.

Cigarette smoke contains nicotine and toxic chemicals and may cause significant neurochemical and anatomical brain changes. Voxel-based morphometry studies have examined the effects of smoking on the brain by comparing gray matter volume (GMV) in nicotine dependent individuals (NDs) to nonsmoking individuals with inconsistent results. Although sex differences in neural and behavioral features of nicotine dependence are reported, sex differences in regional GMV remain unknown. The current study examined sex differences in GMV in a large sample of 80 NDs (41 males) and 80 healthy controls (41 males) using voxel-based morphometry. Within NDs, we explored whether GMV was correlated with measures of cigarette use and nicotine dependence. High-resolution T1 structural scans were obtained from all participants. Segmentation and registration were performed in SPM8 using the optimized DARTEL approach. Covariates included age and an estimate of total global GMV. Differences were considered significant at p≤0.001, with a whole brain FWE-corrected cluster probability of p<0.025. Among NDs compared to Controls less GMV was observed in the thalamus and bilateral cerebellum and greater GMV was observed in the bilateral putamen and right parahippocampus. Lower thalamic GMV was observed in both female and male NDs compared to Controls. Female NDs also had lower GMV in the left cerebellum and in the ventral medial and orbitofrontal cortices with no areas of greater GMV. Male NDs had lower GMV in bilateral cerebellum and greater GMV in bilateral parahippocampus and left putamen. Within male NDs, GMV in the left putamen was correlated with number of pack years. This study, conducted in a large cohort, contributes to our knowledge of brain morphology in nicotine addiction and provides additional evidence of sex-specific effects on GMV in NDs. Identifying brain vulnerabilities with respect to sex provides a methodological framework for personalized therapies to improve relapse rates for both sexes.