Dataset Information

Neuropsychosocial markers of binge drinking in young adults.

ABSTRACT: Binge drinking is associated with disease and death, and developing tools to identify risky drinkers could mitigate its damage. Brain processes underlie risky drinking, so we examined whether neural and psychosocial markers could identify binge drinkers. Reward is the most widely studied neural process in addiction, but processes such as emotion, social cognition, and self-regulation are also involved. Here we examined whether neural processes apart from reward contribute to predicting risky drinking behaviors. From the Human Connectome Project, we identified 177 young adults who binged weekly and 309 nonbingers. We divided the sample into a training and a testing set and used machine-learning algorithms to classify participants based on psychosocial, neural, or both (neuropsychosocial) data. We also developed separate models for each of the seven fMRI tasks used in the study. An ensemble model developed in the training dataset was then applied to the testing dataset. Model performance was assessed by the area under the receiver operating characteristic curve (AUC) and differences between models were assessed using DeLong's test. The three models performed better than chance in the test sample with the neuropsychosocial (AUC = 0.86) and psychosocial (AUC = 0.84) performing better than the neural model (AUC = 0.64). Two fMRI-based models predicted binge drinking status better than chance, corresponding to the social and language tasks. Models developed with psychosocial and neural variables could contribute as diagnostic tools to help classify risky drinkers. Since social and language fMRI tasks performed best among the neural discriminators (including those from gambling and emotion tasks), it suggests the involvement of a broader range of brain processes than those traditionally associated with binge drinking in young adults.

SUBMITTER: Gowin JL

PROVIDER: S-EPMC7658012 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Heavy episodic alcohol consumption (also termed binge drinking) contributes to a wide range of health and cognitive deficits, but the associated brain-based indices are poorly understood. The current study used electroencephalography (EEG) to examine spontaneous neural oscillations in young adults as a function of quantity, frequency, and the pattern of their alcohol consumption. Sixty-one young adults (23.4 ± 3.4 years of age) were assigned to binge drinking (BD) and light drinking (LD) groups that were equated on gender, race/ethnic identity, age, educational background, and family history of alcoholism. EEG activity was recorded during eyes-open and eyes-closed resting conditions. Each participant's alpha peak frequency (APF) was used to calculate absolute power in individualized theta and alpha frequency bands, with a canonical frequency range used for beta. APF was slower by 0.7 Hz in BD, especially in individuals engaging in high-intensity drinking, but there were no changes in alpha power. BD also exhibited higher frontal theta and beta power than LD. Alpha slowing and increased theta power in BD remained after accounting for depression, anxiety, and personality characteristics, while elevated beta power covaried with sensation seeking. Furthermore, APF slowing and theta power correlated with various measures of alcohol consumption, including binge episodes and blackouts, but not with measures of working and episodic memory, cognitive flexibility, processing speed, or personality variables, suggesting that these physiological changes may be modulated by high-intensity alcohol intake. These results are consistent with studies of alcohol-use disorder (AUD) and support the hypothesis that binge drinking is a transitional stage toward alcohol dependence. The observed thalamocortical dysrhythmia may be indicative of an excitatory-inhibitory imbalance in BD and may potentially serve as an index of the progressive development of AUD, with a goal of informing possible interventions to minimize alcohol's deleterious effects on the brain.

Project description:BackgroundAlcohol use is the behaviour that has the most significant impact on the mortality and morbidity of young people, and binge drinking is becoming the norm among this population. The burden of disease of binge drinking during adolescence and young adulthood is significant and warrants the development of effective prevention strategies. Although the literature on risk factors for excessive substance use has been increasing, to our knowledge, a systematic review of the factors associated with binge drinking among young people has not yet been conducted. This study aims to identify and organise the factors associated with binge drinking among young people aged 15 to 24 years; and to provide a framework to further understand these factors in order to better target prevention strategies.Methods/designThis systematic review of the literature will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The databases PubMed, Embase, PsycINFO and Social Care will be searched for articles published between 1 January 2006 and 31 December 2015. Our search focuses on studies examining the risk factors for binge drinking among young people (between the ages of 15 and 24). Observational studies (cross-sectional, cohort and case-control studies) will be included, while randomised controlled trials will be excluded. Case series and case reports will also be excluded, while reviews, if relevant, will be included. The primary outcome is binge drinking. Secondary outcomes include indicators of frequency and consequences of binge drinking. Two reviewers will independently screen articles, extract relevant data and assess the quality of the studies.DiscussionThis systematic review will add to our knowledge and understanding of binge drinking among young people. It will allow us to identify the main risk and protective factors associated with binge drinking among this population and ultimately help to define the lines for further investigation and research, as an important part of prevention strategies in this area of work.Systematic review registrationThis protocol is registered in the PROSPERO registry of the University of York (reference number: CRD42016032496 ).

Dataset Information

Neuropsychosocial markers of binge drinking in young adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets