1. Reward-related neural activity and structure predict future substance use in dysregulated youth.
- Author
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Bertocci MA, Bebko G, Versace A, Iyengar S, Bonar L, Forbes EE, Almeida JRC, Perlman SB, Schirda C, Travis MJ, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson DA, Frazier TW, Arnold LE, Fristad MA, Youngstrom EA, Horwitz SM, Findling RL, and Phillips ML
- Subjects
- Adolescent, Child, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Substance-Related Disorders diagnostic imaging, Substance-Related Disorders pathology, Substance-Related Disorders physiopathology, Adolescent Behavior physiology, Affective Symptoms physiopathology, Cerebral Cortex diagnostic imaging, Cerebral Cortex physiology, Cerebral Cortex physiopathology, Depression physiopathology, Problem Behavior, Reward, Substance-Related Disorders diagnosis
- Abstract
Background: Identifying youth who may engage in future substance use could facilitate early identification of substance use disorder vulnerability. We aimed to identify biomarkers that predicted future substance use in psychiatrically un-well youth., Method: LASSO regression for variable selection was used to predict substance use 24.3 months after neuroimaging assessment in 73 behaviorally and emotionally dysregulated youth aged 13.9 (s.d. = 2.0) years, 30 female, from three clinical sites in the Longitudinal Assessment of Manic Symptoms (LAMS) study. Predictor variables included neural activity during a reward task, cortical thickness, and clinical and demographic variables., Results: Future substance use was associated with higher left middle prefrontal cortex activity, lower left ventral anterior insula activity, thicker caudal anterior cingulate cortex, higher depression and lower mania scores, not using antipsychotic medication, more parental stress, older age. This combination of variables explained 60.4% of the variance in future substance use, and accurately classified 83.6%., Conclusions: These variables explained a large proportion of the variance, were useful classifiers of future substance use, and showed the value of combining multiple domains to provide a comprehensive understanding of substance use development. This may be a step toward identifying neural measures that can identify future substance use disorder risk, and act as targets for therapeutic interventions.
- Published
- 2017
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