Literature DB >> 30928731

Editorial: Understanding the Child at Risk for Substance Use Disorders: Neuroimaging Addiction Risk.

Leslie A Hulvershorn1.   

Abstract

Recent surveys demonstrate skyrocketing rates of adolescent vaping,1 while the opioid epidemic, rightfully, is daily front page news. At the same time, the public perceives cannabis as a harmless source of recreation or even as cure-all therapy. Now more than ever, child and adolescent psychiatrists, politicians, policy leaders, and parents need empirical support to bolster the position that drugs of abuse should be avoided by young people. We have a robust literature connecting cannabis use to earlier and worse psychotic disorders,2 as well as strong longitudinal data implicating cannabis in various neuropsychological deficits.3 What our field lacks, however, are brain imaging studies that definitively document the negative neurobiological impact of substance use on the developing human brain. The key to appreciating why this research literature is so limited has to do with one of the core tenets of substance use disorder (SUD) etiology: SUDs do not emerge de novo in adulthood or late adolescence when people typically present with impairing symptoms. Decades of research now suggests that certain latent childhood traits predispose some youth to initiate and then escalate drug and alcohol use more often than is typical.4 Children born into families with SUDs are more likely to express these highly heritable traits and are additionally subject to environmental risk factors and adversity. Therefore, children born into families with SUDs are disproportionately laden with genetic and environmental factors that shape brain structure and function. In other words, before exposure to drugs of abuse (which themselves may influence the brain), some children's brains already differ from those of typically developing youth. This observation limits the usefulness of cross-sectional neuroimaging studies that compare youth who have used drugs to those who have not, because of the nonrandom interaction of latent traits, environmental factors, and pre-existing brain differences. This interaction likely accelerates these adolescents' propensity to initiate and continue to use drugs of abuse.
Copyright © 2019 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2019        PMID: 30928731      PMCID: PMC7153267          DOI: 10.1016/j.jaac.2019.03.018

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  10 in total

1.  Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps.

Authors:  B B Biswal; J Van Kylen; J S Hyde
Journal:  NMR Biomed       Date:  1997 Jun-Aug       Impact factor: 4.044

2.  Asynchronous Development of Cerebellar, Cerebello-Cortical, and Cortico-Cortical Functional Networks in Infancy, Childhood, and Adulthood.

Authors:  Judy A Kipping; Ta Ahn Tuan; Marielle V Fortier; Anqi Qiu
Journal:  Cereb Cortex       Date:  2017-11-01       Impact factor: 5.357

3.  Association Between Age and Familial Risk for Alcoholism on Functional Connectivity in Adolescence.

Authors:  Jatin G Vaidya; Alexis L Elmore; Alexander L Wallace; Douglas R Langbehn; John R Kramer; Samuel Kuperman; Daniel S O'Leary
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2019-02-14       Impact factor: 8.829

4.  Persistent cannabis users show neuropsychological decline from childhood to midlife.

Authors:  Madeline H Meier; Avshalom Caspi; Antony Ambler; HonaLee Harrington; Renate Houts; Richard S E Keefe; Kay McDonald; Aimee Ward; Richie Poulton; Terrie E Moffitt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

5.  Adolescent Vaping and Nicotine Use in 2017-2018 - U.S. National Estimates.

Authors:  Richard Miech; Lloyd Johnston; Patrick M O'Malley; Jerald G Bachman; Megan E Patrick
Journal:  N Engl J Med       Date:  2018-12-16       Impact factor: 91.245

Review 6.  Childhood Psychiatric Disorders as Risk Factor for Subsequent Substance Abuse: A Meta-Analysis.

Authors:  Annabeth P Groenman; Tieme W P Janssen; Jaap Oosterlaan
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2017-05-11       Impact factor: 8.829

7.  Functional brain networks develop from a "local to distributed" organization.

Authors:  Damien A Fair; Alexander L Cohen; Jonathan D Power; Nico U F Dosenbach; Jessica A Church; Francis M Miezin; Bradley L Schlaggar; Steven E Petersen
Journal:  PLoS Comput Biol       Date:  2009-05-01       Impact factor: 4.475

8.  Development of large-scale functional brain networks in children.

Authors:  Kaustubh Supekar; Mark Musen; Vinod Menon
Journal:  PLoS Biol       Date:  2009-07-21       Impact factor: 8.029

Review 9.  Meta-analysis of the Association Between the Level of Cannabis Use and Risk of Psychosis.

Authors:  Arianna Marconi; Marta Di Forti; Cathryn M Lewis; Robin M Murray; Evangelos Vassos
Journal:  Schizophr Bull       Date:  2016-02-15       Impact factor: 9.306

10.  Consistency of network modules in resting-state FMRI connectome data.

Authors:  Malaak N Moussa; Matthew R Steen; Paul J Laurienti; Satoru Hayasaka
Journal:  PLoS One       Date:  2012-08-31       Impact factor: 3.240

  10 in total
  1 in total

1.  Cannabis and the Developing Adolescent Brain.

Authors:  Adina S Fischer; Susan F Tapert; Dexter Lee Louie; Alan F Schatzberg; Manpreet K Singh
Journal:  Curr Treat Options Psychiatry       Date:  2020-04-18
  1 in total

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