0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessWhile imaging studies have demonstrated volumetric differences in subcortical structures associated with dependence on various abused substances, findings to date have not been wholly consistent. Moreover, most studies have not compared brain morphology across those dependent on different substances of abuse to identify substance-specific and substance-general dependence effects. By pooling large multinational datasets from 33 imaging sites, this study examined subcortical surface morphology in 1628 nondependent controls and 2277 individuals with dependence on alcohol, nicotine, cocaine, methamphetamine, and/or cannabis. Subcortical structures were defined by FreeSurfer segmentation and converted to a mesh surface to extract two vertex-level metrics-the radial distance (RD) of the structure surface from a medial curve and the log of the Jacobian determinant (JD)-that, respectively, describe local thickness and surface area dilation/contraction. Mega-analyses were performed on measures of RD and JD to test for the main effect of substance dependence, controlling for age, sex, intracranial volume, and imaging site. Widespread differences between dependent users and nondependent controls were found across subcortical structures, driven primarily by users dependent on alcohol. Alcohol dependence was associated with localized lower RD and JD across most structures, with the strongest effects in the hippocampus, thalamus, putamen, and amygdala. Meanwhile, nicotine use was associated with greater RD and JD relative to nonsmokers in multiple regions, with the strongest effects in the bilateral hippocampus and right nucleus accumbens. By demonstrating subcortical morphological differences unique to alcohol and nicotine use, rather than dependence across all substances, results suggest substance-specific relationships with subcortical brain structures.
Yann Chye, Scott Mackey, Boris A. Gutman, Christopher R. K. Ching, Albert Batalla, Sara K. Blaine, Samantha J. Brooks, Elisabeth C. Caparelli, Janna Cousijn, Alain Dagher, John J. Foxe, Anna E. Goudriaan, Robert Hester, Kent E. Hutchison, Neda Jahanshad, Anne Marije Kaag, Ozlem Korucuoglu, Chiang‐Shan R. Li, Edythe D. London, Valentina Lorenzetti, Maartje Luijten, Rocio Martín‐Santos, Shashwath A. Meda, Reza Momenan, Angelica M. Morales, Catherine Orr, Martin P. Paulus, Godfrey D. Pearlson, Liesbeth Reneman, Lianne Schmaal, Rajita Sinha, Nadia Solowij, Dan Joseph Stein, Elliot A. Stein, Deborah Tang, Anne Uhlmann, Ruth J. van Holst, Dick J. Veltman, Antonio Verdejo‐García, Reínout W. Wiers, Murat Yücel, Paul M. Thompson, Patricia Conrod, Hugh Garavan (2019). Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study. , 25(6), DOI: https://doi.org/10.1111/adb.12830.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
44
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1111/adb.12830
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access