Structural differences in adolescent brains can predict alcohol misuse

Alcohol misuse during adolescence (AAM) has been associated with disruptive development of adolescent brains. In this longitudinal machine learning (ML) study, we could predict AAM significantly from brain structure (T1-weighted imaging and DTI) with accuracies of 73 -78% in the IMAGEN dataset (n∼11...

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Detalles Bibliográficos
Autores principales: Rane, Roshan Prakash, de Man, Evert Ferdinand, Kim, JiHoon, Görgen, Kai, Tschorn, Mira, Rapp, Michael A, Banaschewski, Tobias, Bokde, Arun LW, Desrivieres, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny A, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillere, Artiges, Eric, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Lemaitre, Herve, Paus, Tomas, Poustka, Luise, Fröhner, Juliane, Robinson, Lauren, Smolka, Michael N, Winterer, Jeanne, Whelan, Robert, Schumann, Gunter, Walter, Henrik, Heinz, Andreas, Ritter, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255959/
https://www.ncbi.nlm.nih.gov/pubmed/35616520
http://dx.doi.org/10.7554/eLife.77545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255959/
https://www.ncbi.nlm.nih.gov/pubmed/35616520
http://dx.doi.org/10.7554/eLife.77545

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