Mega-analysis of gray matter volume in substance dependence: General and substance-specific regional effects

ENIGMA Addiction Working Group

Research output: Contribution to journalArticlepeer-review

195 Scopus citations

Abstract

Objective: Although lower brain volume has been routinely observed in individuals with substance dependence compared with nondependent control subjects, the brain regions exhibiting lower volume have not been consistent across studies. In addition, it is not clear whether a common set of regions are involved in substance dependence regardless of the substance used or whether some brain volume effects are substance specific. Resolution of these issues may contribute to the identification of clinically relevant imaging biomarkers. Using pooled data from 14 countries, the authors sought to identify general and substance-specific associations between dependence and regional brain volumes. Method: Brain structure was examined in a mega-analysis of previously published data pooled from 23 laboratories, including 3,240 individuals, 2,140 of whom had substance dependence on one of five substances: alcohol, nicotine, cocaine, methamphetamine, or cannabis. Subcortical volume and cortical thickness in regions defined by FreeSurfer were compared with nondependent control subjects when all sampled substance categories were combined, as well as separately, while controlling for age, sex, imaging site, and total intracranial volume. Because of extensive associations with alcohol dependence, a secondary contrast was also performed for dependence on all substances except alcohol. An optimized split-half strategy was used to assess the reliability of the findings. Results: Lower volume or thickness was observed in many brain regions in individuals with substance dependence. The greatest effects were associated with alcohol use disorder. A set of affected regions related to dependence in general, regardless of the substance, included the insula and the medial orbitofrontal cortex. Furthermore, a support vector machine multivariate classification of regional brain volumes successfully classified individuals with substance dependence on alcohol or nicotine relative to nondependent control subjects. Conclusions: The results indicate that dependence on a range of different substances shares a common neural substrate and that differential patterns of regional volume could serve as useful biomarkers of dependence on alcohol and nicotine.

Original languageEnglish
Pages (from-to)119-128
Number of pages10
JournalAmerican Journal of Psychiatry
Volume176
Issue number2
DOIs
StatePublished - Feb 2019

Funding

FundersFunder number
Philip Morris USA
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Clive and Vera Ramaciotti Foundation for Biomedical Research National and Health and Medical Research Council
National Institutes of Health
Marjorie Greene Family Trust
National Institute on Alcohol Abuse and AlcoholismR01AA013892, R01AA021449
National Institute on Drug AbuseR01DA023248, T32DA024635, R01DA014100, R01DA018307, R01DA020726, K25DA040032, ZIADA000470, R21DA038381, K02DA026990, R01DA041528
National Institute of Mental HealthR01MH117601, PL30-1DA024859-01
University of California, Los Angeles20063287
National Center for Complementary and Integrative HealthR01AT010627
Australian Research CouncilFT110100752
ZonMwR01DA023248, 31180002, R01-DA014100, 91676084, 016.08.322, K25DA040032, R01AA021449, 31160003, 31160004, R01 DA020726
National Center for Research ResourcesUL1RR024925, UL1-RR24925-01
Vanderbilt-Ingram Cancer Center453.08.01
National Health and Medical Research Council1117188, 459111
National Institute of Biomedical Imaging and BioengineeringU54EB020403

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