Literature DB >> 26337200

Brain cortical thickness in male adolescents with serious substance use and conduct problems.

Serhiy Y Chumachenko1, Joseph T Sakai, Manish S Dalwani, Susan K Mikulich-Gilbertson, Robin Dunn, Jody Tanabe, Susan Young, Shannon K McWilliams, Marie T Banich, Thomas J Crowley.   

Abstract

BACKGROUND: Adolescents with substance use disorder (SUD) and conduct problems exhibit high levels of impulsivity and poor self-control. Limited work to date tests for brain cortical thickness differences in these youths.
OBJECTIVES: To investigate differences in cortical thickness between adolescents with substance use and conduct problems and controls.
METHODS: We recruited 25 male adolescents with SUD, and 19 male adolescent controls, and completed structural 3T magnetic resonance brain imaging. Using the surface-based morphometry software FreeSurfer, we completed region-of-interest (ROI) analyses for group cortical thickness differences in left, and separately right, inferior frontal gyrus (IFG), orbitofrontal cortex (OFC) and insula. Using FreeSurfer, we completed whole-cerebrum analyses of group differences in cortical thickness.
RESULTS: Versus controls, the SUD group showed no cortical thickness differences in ROI analyses. Controlling for age and IQ, no regions with cortical thickness differences were found using whole-cerebrum analyses (though secondary analyses co-varying IQ and whole-cerebrum cortical thickness yielded a between-group cortical thickness difference in the left posterior cingulate/precuneus). Secondary findings showed that the SUD group, relative to controls, demonstrated significantly less right > left asymmetry in IFG, had weaker insular-to-whole-cerebrum cortical thickness correlations, and showed a positive association between conduct disorder symptom count and cortical thickness in a superior temporal gyrus cluster.
CONCLUSION: Functional group differences may reflect a more nuanced cortical morphometric difference than ROI cortical thickness. Further investigation of morphometric differences is needed. If replicable findings can be established, they may aid in developing improved diagnostic or more targeted treatment approaches.

Entities:  

Keywords:  Adolescents; cortical thickness; substance use

Mesh:

Year:  2015        PMID: 26337200      PMCID: PMC4900688          DOI: 10.3109/00952990.2015.1058389

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  75 in total

1.  Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder.

Authors:  Ralph E Tarter; Levent Kirisci; Ada Mezzich; Jack R Cornelius; Kathleen Pajer; Michael Vanyukov; William Gardner; Timothy Blackson; Duncan Clark
Journal:  Am J Psychiatry       Date:  2003-06       Impact factor: 18.112

2.  Inhalant use, abuse, and dependence among adolescent patients: commonly comorbid problems.

Authors:  Joseph T Sakai; Shannon K Hall; Susan K Mikulich-Gilbertson; Thomas J Crowley
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2004-09       Impact factor: 8.829

Review 3.  Localizing performance of go/no-go tasks to prefrontal cortical subregions.

Authors:  Junichi Chikazoe
Journal:  Curr Opin Psychiatry       Date:  2010-05       Impact factor: 4.741

4.  Relationships between IQ and regional cortical gray matter thickness in healthy adults.

Authors:  Katherine L Narr; Roger P Woods; Paul M Thompson; Philip Szeszko; Delbert Robinson; Teodora Dimtcheva; Mala Gurbani; Arthur W Toga; Robert M Bilder
Journal:  Cereb Cortex       Date:  2006-11-21       Impact factor: 5.357

5.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence.

Authors:  Rhoshel K Lenroot; Nitin Gogtay; Deanna K Greenstein; Elizabeth Molloy Wells; Gregory L Wallace; Liv S Clasen; Jonathan D Blumenthal; Jason Lerch; Alex P Zijdenbos; Alan C Evans; Paul M Thompson; Jay N Giedd
Journal:  Neuroimage       Date:  2007-04-06       Impact factor: 6.556

6.  Cortical thickness and folding deficits in conduct-disordered adolescents.

Authors:  Christopher J Hyatt; Emily Haney-Caron; Michael C Stevens
Journal:  Biol Psychiatry       Date:  2011-12-29       Impact factor: 13.382

7.  The structure of common mental disorders.

Authors:  R F Krueger
Journal:  Arch Gen Psychiatry       Date:  1999-10

8.  Wide cavum septum pellucidum: a marker of disturbed brain development.

Authors:  J B Bodensteiner; G B Schaefer
Journal:  Pediatr Neurol       Date:  1990 Nov-Dec       Impact factor: 3.372

9.  A potential role of the inferior frontal gyrus and anterior insula in cognitive control, brain rhythms, and event-related potentials.

Authors:  Mattie Tops; Maarten A S Boksem
Journal:  Front Psychol       Date:  2011-11-10

10.  Inhibition and the right inferior frontal cortex: one decade on.

Authors:  Adam R Aron; Trevor W Robbins; Russell A Poldrack
Journal:  Trends Cogn Sci       Date:  2014-01-15       Impact factor: 20.229

View more
  7 in total

Review 1.  Neurobiological signatures associated with alcohol and drug use in the human adolescent brain.

Authors:  Marisa M Silveri; Alecia D Dager; Julia E Cohen-Gilbert; Jennifer T Sneider
Journal:  Neurosci Biobehav Rev       Date:  2016-07-01       Impact factor: 8.989

2.  Mechanisms Underlying Sex Differences in Cannabis Use.

Authors:  Katina C Calakos; Shivani Bhatt; Dawn W Foster; Kelly P Cosgrove
Journal:  Curr Addict Rep       Date:  2017-10-19

Review 3.  The associations of comorbid substance use disorders and psychiatric conditions with adolescent brain structure and function: A review.

Authors:  Danielle S Kroll; Dana E Feldman; Szu-Yung Ariel Wang; Rui Zhang; Peter Manza; Corinde E Wiers; Nora D Volkow; Gene-Jack Wang
Journal:  J Neurol Sci       Date:  2020-08-19       Impact factor: 3.181

4.  Brain structure abnormalities in young women who presented conduct disorder in childhood/adolescence.

Authors:  Meenal Budhiraja; Ivanka Savic; Philip Lindner; Jussi Jokinen; Jari Tiihonen; Sheilagh Hodgins
Journal:  Cogn Affect Behav Neurosci       Date:  2017-08       Impact factor: 3.282

5.  Shapes of subcortical structures in adolescents with and without familial history of substance use disorder.

Authors:  Zhishun Wang; Diana V Rodriguez-Moreno; Yael M Cycowicz; Lawrence V Amsel; Keely Cheslack-Postava; Xiaofu He; Megan Ryan; Lupo Geronazzo-Alman; George J Musa; Adam Bisaga; Christina W Hoven
Journal:  Hum Brain Mapp       Date:  2022-04-07       Impact factor: 5.399

6.  Structural brain morphometry as classifier and predictor of ADHD and reward-related comorbidities.

Authors:  Daan van Rooij; Yanli Zhang-James; Jan Buitelaar; Stephen V Faraone; Andreas Reif; Oliver Grimm
Journal:  Front Psychiatry       Date:  2022-09-12       Impact factor: 5.435

7.  Brain Cortical Thickness Differences in Adolescent Females with Substance Use Disorders.

Authors:  Peter K Boulos; Manish S Dalwani; Jody Tanabe; Susan K Mikulich-Gilbertson; Marie T Banich; Thomas J Crowley; Joseph T Sakai
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.