Predicting alcohol dependence from multi‐site brain structural measures

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored in a mega‐analysis of previously published dataset...

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Detalles Bibliográficos
Autores principales: Hahn, Sage, Mackey, Scott, Cousijn, Janna, Foxe, John J., Heinz, Andreas, Hester, Robert, Hutchinson, Kent, Kiefer, Falk, Korucuoglu, Ozlem, Lett, Tristram, Li, Chiang‐Shan R., London, Edythe, Lorenzetti, Valentina, Maartje, Luijten, Momenan, Reza, Orr, Catherine, Paulus, Martin, Schmaal, Lianne, Sinha, Rajita, Sjoerds, Zsuzsika, Stein, Dan J., Stein, Elliot, van Holst, Ruth J., Veltman, Dick, Walter, Henrik, Wiers, Reinout W., Yucel, Murat, Thompson, Paul M., Conrod, Patricia, Allgaier, Nicholas, Garavan, Hugh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675424/
https://www.ncbi.nlm.nih.gov/pubmed/33064342
http://dx.doi.org/10.1002/hbm.25248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675424/
https://www.ncbi.nlm.nih.gov/pubmed/33064342
http://dx.doi.org/10.1002/hbm.25248

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