Volumetric differences in the anterior cingulate cortex prospectively predict alcohol-related problems in adolescence (original) (raw)
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Behavioural brain research, 2015
Prenatal alcohol exposure is associated with behavioral disinhibition, yet the brain structure correlates of this deficit have not been determined with sufficient detail. We examined the hypothesis that the structure of the anterior cingulate cortex (ACC) relates to inhibition performance in youth with histories of heavy prenatal alcohol exposure (AE, n=32) and non-exposed controls (CON, n=21). Adolescents (12-17y) underwent structural magnetic resonance imaging yielding measures of gray matter volume, surface area, and thickness across four ACC subregions. A subset of subjects were administered the NEPSY-II Inhibition subtest. MANCOVA was utilized to test for group differences in ACC and inhibition performance and multiple linear regression was used to probe ACC-inhibition relationships. ACC surface area was significantly smaller in AE, though this effect was primarily driven by reduced right caudal ACC (rcACC). AE also performed significantly worse on inhibition speed but not on i...
Neuropsychopharmacology, 2012
Individual variation in reward sensitivity may have an important role in early substance use and subsequent development of substance abuse. This may be especially important during adolescence, a transition period marked by approach behavior and a propensity toward risk taking, novelty seeking and alteration of the social landscape. However, little is known about the relative contribution of personality, behavior, and brain responses for prediction of alcohol use in adolescents. In this study, we applied factor analyses and structural equation modeling to reward-related brain responses assessed by functional magnetic resonance imaging during a monetary incentive delay task. In addition, novelty seeking, sensation seeking, impulsivity, extraversion, and behavioral measures of risk taking were entered as predictors of early onset of drinking in a sample of 14-year-old healthy adolescents (N ¼ 324). Reward-associated behavior, personality, and brain responses all contributed to alcohol intake with personality explaining a higher proportion of the variance than behavior and brain responses. When only the ventral striatum was used, a small non-significant contribution to the prediction of early alcohol use was found. These data suggest that the role of reward-related brain activation may be more important in addiction than initiation of early drinking, where personality traits and reward-related behaviors were more significant. With up to 26% of explained variance, the interrelation of reward-related personality traits, behavior, and neural response patterns may convey risk for later alcohol abuse in adolescence, and thus may be identified as a vulnerability factor for the development of substance use disorders.
eLife
Adolescence is a common time for initiation of alcohol use and development of alcohol use disorders. The present study investigates neuroanatomical predictors for trajectories of future alcohol use based on a novel voxel-wise whole-brain structural equation modeling framework. In 1814 healthy adolescents of the IMAGEN sample, the Alcohol Use Disorder Identification Test (AUDIT) was acquired at three measurement occasions across five years. Based on a two-part latent growth curve model, we conducted whole-brain analyses on structural MRI data at age 14, predicting change in alcohol use score over time. Higher grey-matter volumes in the caudate nucleus and the left cerebellum at age 14 years were predictive of stronger increase in alcohol use score over 5 years. The study is the first to demonstrate the feasibility of running separate voxel-wise structural equation models thereby opening new avenues for data analysis in brain imaging.
Alcohol and Alcoholism, 2023
Aims This study aimed to systematically review the literature on neuroanatomical predictors of future problematic drinking in adolescents. Methods Using PRISMA guidelines, a systematic review was conducted to evaluate neuroanatomical predictors of problematic alcohol consumption in adolescents. EMBASE, MEDLINE, and PsycINFO databases were searched from inception to 6 January 2023. Studies were included if they were original, had a prospective design, had a sample size of at least 12, had a follow-up period of at least 1 year, had at least one structural neuroimaging scan before 18 with no prior alcohol use, and had alcohol use as the primary outcome. Studies were excluded if they had animals only and were not in English. Risk of bias was conducted using the CASP tool. Results Out of 1412 studies identified, 19 studies met the criteria, consisting of 11 gray matter (n = 4040), 5 white matter (n = 319), and 3 assessing both (n = 3608). Neuroanatomical predictors of future problematic drinking in adolescents were reported to be distributed across various brain regions such as the orbitofrontal cortex and paralimbic regions. However, the findings were largely heterogeneous. Conclusions This is the first systematic review to map out the existing literature on neuroanatomical predictors of problematic drinking in adolescents. Future research should focus on the aforementioned regions to determine their role in predicting future problematic drinking with more certainty.
JAMA Psychiatry
; for the IMAGEN Consortium IMPORTANCE Alcohol abuse correlates with gray matter development in adolescents, but the directionality of this association remains unknown. OBJECTIVE To investigate the directionality of the association between gray matter development and increase in frequency of drunkenness among adolescents. DESIGN, SETTING, AND PARTICIPANTS This cohort study analyzed participants of IMAGEN, a multicenter brain imaging study of healthy adolescents in 8 European sites in Germany
Addiction Biology, 2007
Reduced right amygdala volumes have been reported in young, alcohol-naïve subjects at high risk (HR) for alcohol dependence. The differences in brain morphometry have been associated with an excess of externalizing behaviors in these subjects. This may reflect a neurobiological vulnerability to alcohol dependence. Existing Magnetic Resonance Imaging (MRI) studies on these subjects have examined only a few, pre-selected brain regions using the manual regions of interest (ROI) approach. MRI of HR subjects ( n = 20) and age, sex, and handedness-matched low-risk (LR) subjects ( n = 21) were analyzed using optimized voxel-based morphometry and ROI approach. The externalizing symptoms of these subjects and their fathers were measured using the Semi-Structured Assessment for the Genetics of Alcoholism. HR subjects had significantly smaller volumes of superior frontal, cingulate and parahippocampal gyri, amygdala, thalamus and cerebellum. These gray matter volumes correlated negatively with externalizing symptoms scores. Subjects at HR for alcoholism have reduced volumes of critical areas of brain gray matter, which are associated with increased externalizing symptoms. These represent key endophenotypes of alcoholism.
Metabolic brain disease, 2014
Previous neuroimaging studies link both alcohol use disorder (AUD) and early adversity to neurobiological differences in the adult brain. However, the association between AUD and childhood adversity and effects on the developing adolescent brain are less clear, due in part to the confound of psychiatric comorbidity. Here we examine early life adversity and its association with brain volume in a unique sample of 116 South African adolescents (aged 12–16) with AUD but without psychiatric comorbidity. Participants were 58 adolescents with DSM-IV alcohol dependence and with no other psychiatric comorbidities, and 58 age-, gender- and protocol-matched light/non-drinking controls (HC). Assessments included the Childhood Trauma Questionnaire (CTQ). MR images were acquired on a 3T Siemens Magnetom Allegra scanner. Volumes of global and regional structures were estimated using SPM8 Voxel Based Morphometry (VBM), with analysis of covariance (ANCOVA) and regression analyses. In whole brain ANCOVA analyses, a main effect of group when examining the AUD effect after covarying out CTQ was observed on brain volume in bilateral superior temporal gyrus. Subsequent regression analyses to examine how childhood trauma scores are linked to brain volumes in the total cohort revealed a negative correlation in the left hippocampus and right precentral gyrus. Furthermore, bilateral (but most significantly left) hippocampal volume was negatively associated with sub-scores on the CTQ in the total cohort. These findings support our view that some alterations found in brain volumes in studies of adolescent AUD may reflect the impact of confounding factors such as psychiatric comorbidity rather than the effects of alcohol per se. In particular, early life adversity may influence the developing adolescent brain in specific brain regions, such as the hippocampus.
Alcohol, Psychological Dysregulation, and Adolescent Brain Development
Alcoholism: Clinical and Experimental Research, 2008
While adolescent alcohol consumption has been asserted to adversely alter brain development, research in human adolescents has not yet provided us with sufficient evidence to support or refute this position. Brain constituents actively developing during adolescence include the prefrontal cortex, limbic system areas, and white matter myelin. These areas serving cognitive, behavioral, and emotional regulation may be particularly vulnerable to adverse alcohol effects. Alternatively, deficits or developmental delays in these structures and their functions may underlie liability to accelerated alcohol use trajectories in adolescence. This review will describe a conceptual framework for considering these relationships and summarize the available studies on the relationships among risk characteristics, alcohol involvement and brain development during this period. The cross-sectional designs and small samples characterizing available studies hamper definitive conclusions. This article will describe some of the opportunities contemporary neuroimaging techniques offer for advancing understanding of adolescent neurodevelopment and alcohol involvement.
EBioMedicine, 2018
The delineation of the behavioral neurobiological mechanisms underlying the heterogeneous pathways for alcohol use disorders (AUDs) is ostensibly imperative for the development of more cost-effective treatments predicated on better understanding of this complex psychopathology. 1) Forty-eight high anxiety sensitive (HAS) and high sensation seeking (HSS) psychopathology-free emerging adults (mean (SD) age: 20.4 (1.9) years) completed a Face Emotion Processing Task and a social stress paradigm (Montreal Imaging Stress Task) during functional magnetic resonance imaging sessions with and without alcohol ingestion (1ml/kg of 95% USP alcohol, p.o.). Drug and alcohol use was reassessed during follow-up interviews 2-3years later. The effects of alcohol (versus placebo) ingestion depended upon the task and risk group. In response to negative (versus neutral) faces, alcohol diminished amygdala (AMYG) activations in HAS but not HSS subjects. In response to psychosocial evaluative stress, alcoh...
Neuropsychosocial profiles of current and future adolescent alcohol misusers
A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models 1 can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers 2 in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence 3 . A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms 4 . Here we apply machine learning to a wide range of data from a large sample of adolescents (n 5 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.