The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects
Open accessAbstract
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.
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Cortical Surface-Based Analysis
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Gene selection for cancer classification using support vector machines
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Power failure: why small sample size undermines the reliability of neuroscience
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“The large sample size facilitated the adoption of a rigorous cross-validationmethod to address the widespread failure to replicate neuroimaging results, which has been noted in several recent influential reports (22, 23).”
BackgroundWhiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006
How do you feel? Interoception: The sense of the physiological condition of the body
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Hoogman, M., Muetzel, R., Guimaraes, J. P., Shumskaya, E., Mennes, M., Zwiers, M. P., Jahanshad, N., Sudre, G., Wolfers, T., Earl, E. A., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091033 · Cited by 467
Self-citationA large-scale genome-wide association study meta-analysis of cannabis use disorder
Johnson, E. C., Demontis, D., Thorgeirsson, T. E., Walters, R. K., Polimanti, R., Hatoum, A. S., Sanchez-Roige, S., Paul, S. E., Wendt, F. R., Clarke, T.-K., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30339-4 · Cited by 339
Self-citationThe ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets
Larivière, S., Paquola, C., Park, B.-Y., Royer, J., Wang, Y., Benkarim, O., Vos de Wael, R., Valk, S. L., Thomopoulos, S. I., Kirschner, M., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01186-4 · Cited by 269
Self-citationOpel, N., Thalamuthu, A., Milaneschi, Y., Grotegerd, D., Flint, C., Leenings, R., Goltermann, J., Richter, M., Hahn, T., Woditsch, G., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0774-9 · Cited by 148
Self-citationCeceli, A. O., Bradberry, C. W., & Goldstein, R. Z. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01153-9 · Cited by 150
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Metadata
- Authors
- Mackey, S., Allgaier, N., Chaarani, B., Spechler, P., Orr, C., Bunn, J., Allen, N. B., Alia-Klein, N., Batalla, A., Blaine, S., Brooks, S., Caparelli, E., Chye, Y. Y., Cousijn, J., Dagher, A., Desrivieres, S., Feldstein-Ewing, S., Foxe, J. J., Goldstein, R. Z., Goudriaan, A. E., Heitzeg, M. M., Hester, R., Hutchison, K., Korucuoglu, O., Li, C.-S. R., London, E., Lorenzetti, V., Luijten, M., Martin-Santos, R., May, A., Momenan, R., Morales, A., Paulus, M. P., Pearlson, G., Rousseau, M.-E., Salmeron, B. J., Schluter, R., Schmaal, L., Schumann, G., Sjoerds, Z., Stein, D. J., Stein, E. A., Sinha, R., Solowij, N., Tapert, S., Uhlmann, A., Veltman, D., van Holst, R., Whittle, S., Wiers, R., Wright, M. J., Yücel, M., Zhang, S., Yurgelun-Todd, D., Hibar, D. P., Jahanshad, N., Evans, A., Thompson, P. M., Glahn, D. C., Conrod, P., Garavan, H., & the ENIGMA Addiction Working Group
- Venue
- American Journal of Psychiatry
- Published
- 2019-02-01
- Volume
- 176
- Issue
- 2
- Pages
- 119-128
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2895898846
- Cited by
- 266
- References
- 50
- FWCI
- 20.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mackey, S., Allgaier, N., Chaarani, B., Spechler, P., Orr, C., Bunn, J., Allen, N. B., Alia-Klein, N., Batalla, A., Blaine, S., Brooks, S., Caparelli, E., Chye, Y. Y., Cousijn, J., Dagher, A., Desrivieres, S., Feldstein-Ewing, S., Foxe, J. J., Goldstein, R. Z., . . . the ENIGMA Addiction Working Group. (2019). Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.2018.17040415
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