Journal article

Predicting Alcohol Dependence from Multi-Site Brain Structural Measures

Sage Hahn, Scott Mackey, Janna Cousijn, John J Foxe, Robert Hester, Kent Hutchinson, Ozlem Korucuoglu, Edythe London, Valentina Lorenzetti, Maartje Luijten, Reza Momenan, Catherine Orr, Martin Paulus, Lianne Schmaal, Rajita Sinha, Zsuzsika Sjoerds, Dan J Stein, Elliot Stein, Ruth J van Holst, Dick Veltman Show all

Cold Spring Harbor Laboratory


AbstractBackgroundThe search for neuroimaging biomarkers of alcohol use disorder (AUD) has primarily been restricted to significance testing in small datasets of low diversity. To identify neurobiological markers beyond individual differences, it may be useful to develop classification models for AUD. The ever-increasing quantity of neuroimaging data demands methods that are robust to the complexities of multi-site designs and are generalizable to data from new scanners.MethodsThis study represents a mega-analysis of previously published datasets from 2,034 AUD and comparison participants spanning 27 sites, coordinated by the ENIGMA Addiction Working Group. Data were grouped into a training ..

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