ArticleThe European journal of neuroscience2019
The initiation of cannabis use in adolescence is predicted by sex-specific psychosocial and neurobiological features.
Article in The European journal of neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The brain in social context: A systematic review of substance use and social processing from adolescence to young adulthood.Developmental cognitive neuroscience · 2022Pooled it
- Systematic review of structural and functional neuroimaging studies of cannabis use in adolescence and emerging adulthood: evidence from 90 studies and 9441 participants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Pooled it
- The IMAGEN study: a decade of imaging genetics in adolescents.Molecular psychiatry · 2020Pooled it
- Independent brain cortical signatures of risk for adolescent cannabis use and consequences of such use are moderated by sex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Identification and External Validation of a Problem Cannabis Risk Network.Biological psychiatry · 2025Article
- An investigation of multimodal predictors of adolescent alcohol initiation.Drug and alcohol dependence · 2024Article
- [Factors Influencing Sexual Experiences in Adolescents Using a Random Forest Model: Secondary Data Analysis of the 2019~2021 Korea Youth Risk Behavior Web-based Survey Data].Journal of Korean Academy of Nursing · 2024Article
- Cannabis use and dependence among festival attendees: results from the French OCTOPUS survey.BMC public health · 2024Article
- Effects of Stimulant Treatment on Changes in Brain Activation During Reward Notifications in Drug Naïve Youth With ADHD.Journal of attention disorders · 2024Article
- Factors associated with cannabis use in early adolescence.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023Article
- Predictors of problematic adult alcohol, cannabis, and other substance use: A longitudinal study of two samples.Development and psychopathology · 2023Article
- The ABCD stop signal data: Response to Bissett et al.Developmental cognitive neuroscience · 2022Article
- Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use Disorder.Scientific reports · 2022Article
- Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.Annual review of biomedical data science · 2022Review
- Sensitization-based risk for substance abuse in vulnerable individuals with ADHD: Review and re-examination of evidence.Neuroscience and biobehavioral reviews · 2022Review
- Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.Personality neuroscience · 2021Article
- Precision Mental Health Care for Cannabis Use Disorder: Utility of a bioSocial Cognitive Theory to Inform Treatment.Frontiers in psychiatry · 2021Review
- Longitudinal associations between amygdala reactivity and cannabis use in a large sample of adolescents.Psychopharmacology · 2020Article
- Examining the association between exposure to various screen time sedentary behaviours and cannabis use among youth in the COMPASS study.SSM - population health · 2019Article
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Authors and funding
37 authors.
Funding
Abstract
Cannabis use initiated during adolescence might precipitate negative consequences in adulthood. Thus, predicting adolescent cannabis use prior to any exposure will inform the aetiology of substance abuse by disentangling predictors from consequences of use. In this prediction study, data were drawn from the IMAGEN sample, a longitudinal study of adolescence. All selected participants (n = 1,581) were cannabis-naïve at age 14. Those reporting any cannabis use (out of six ordinal use levels) by age 16 were included in the outcome group (N = 365, males n = 207). Cannabis-naïve participants at age 14 and 16 were included in the comparison group (N = 1,216, males n = 538). Psychosocial, brain and genetic features were measured at age 14 prior to any exposure. Cross-validated regularized logistic regressions for each use level by sex were used to perform feature selection and obtain prediction error statistics on independent observations. Predictors were probed for sex- and drug-specificity using post-hoc logistic regressions. Models reliably predicted use as indicated by satisfactory prediction error statistics, and contained psychosocial features common to both sexes. However, males and females exhibited distinct brain predictors that failed to predict use in the opposite sex or predict binge drinking in independent samples of same-sex participants. Collapsed across sex, genetic variation on catecholamine and opioid receptors marginally predicted use. Using machine learning techniques applied to a large multimodal dataset, we identified a risk profile containing psychosocial and sex-specific brain prognostic markers, which were likely to precede and influence cannabis initiation.
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