Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

While there is substantial evidence that cannabis use is associated with differences in human brain development, most of this evidence is correlational in nature. Bayesian causal network (BCN) modeling attempts to identify probable causal relationships in correlational data using conditional probabi...

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Detalles Bibliográficos
Autores principales: Owens, Max M., Albaugh, Matthew D., Allgaier, Nicholas, Yuan, Dekang, Robert, Gabriel, Cupertino, Renata B., Spechler, Philip A., Juliano, Anthony, Hahn, Sage, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Lemaitre, Herve, Paus, Tomáš, Poustka, Luise, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Mackey, Scott, Schumann, Gunter, Garavan, Hugh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076659/
https://www.ncbi.nlm.nih.gov/pubmed/35523763
http://dx.doi.org/10.1038/s41398-022-01956-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076659/
https://www.ncbi.nlm.nih.gov/pubmed/35523763
http://dx.doi.org/10.1038/s41398-022-01956-4

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