TY - JOUR
T1 - Mega-analysis of gray matter volume in substance dependence
T2 - General and substance-specific regional effects
AU - ENIGMA Addiction Working Group
AU - Mackey, Scott
AU - Allgaier, Nicholas
AU - Chaarani, Bader
AU - Spechler, Philip
AU - Orr, Catherine
AU - Bunn, Janice
AU - Allen, Nicholas B.
AU - Alia-Klein, Nelly
AU - Batalla, Albert
AU - Blaine, Sara
AU - Brooks, Samantha
AU - Caparelli, Elisabeth
AU - Chye, Yann Ying
AU - Cousijn, Janna
AU - Dagher, Alain
AU - Desrivieres, Sylvane
AU - Feldstein-Ewing, Sarah
AU - Foxe, John J.
AU - Goldstein, Rita Z.
AU - Goudriaan, Anna E.
AU - Heitzeg, Mary M.
AU - Hester, Robert
AU - Hutchison, Kent
AU - Korucuoglu, Ozlem
AU - Li, Chiang Shan R.
AU - London, Edythe
AU - Lorenzetti, Valentina
AU - Luijten, Maartje
AU - Martin-Santos, Rocio
AU - May, April
AU - Momenan, Reza
AU - Morales, Angelica
AU - Paulus, Martin P.
AU - Pearlson, Godfrey
AU - Rousseau, Marc Etienne
AU - Salmeron, Betty Jo
AU - Schluter, Renée
AU - Schmaal, Lianne
AU - Schumann, Gunter
AU - Sjoerds, Zsuzsika
AU - Stein, Dan J.
AU - Stein, Elliot A.
AU - Sinha, Rajita
AU - Solowij, Nadia
AU - Tapert, Susan
AU - Uhlmann, Anne
AU - Veltman, Dick
AU - Van Holst, Ruth
AU - Whittle, Sarah
AU - Wright, Margaret J.
N1 - Publisher Copyright:
© 2019 American Psychiatric Association. All Rights Reserved.
PY - 2019/2
Y1 - 2019/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85061044348&partnerID=8YFLogxK
U2 - 10.1176/appi.ajp.2018.17040415
DO - 10.1176/appi.ajp.2018.17040415
M3 - Article
C2 - 30336705
AN - SCOPUS:85061044348
SN - 0002-953X
VL - 176
SP - 119
EP - 128
JO - American Journal of Psychiatry
JF - American Journal of Psychiatry
IS - 2
ER -