Author:
Bertocci M. A.,Bebko G.,Versace A.,Iyengar S.,Bonar L.,Forbes E. E.,Almeida J. R. C.,Perlman S. B.,Schirda C.,Travis M. J.,Gill M. K.,Diwadkar V. A.,Sunshine J. L.,Holland S. K.,Kowatch R. A.,Birmaher B.,Axelson D. A.,Frazier T. W.,Arnold L. E.,Fristad M. A.,Youngstrom E. A.,Horwitz S. M.,Findling R. L.,Phillips M. L.
Abstract
BackgroundIdentifying 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.MethodLASSO 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.ResultsFuture 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%.ConclusionsThese 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.
Publisher
Cambridge University Press (CUP)
Subject
Psychiatry and Mental health,Applied Psychology
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献