Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain

The application of data-driven deep learning to identify sex differences in developing brain structures of pre-adolescents has heretofore not been accomplished. Here, the approach identifies sex differences by analyzing the minimally processed MRIs of the first 8144 participants (age 9 and 10 years)...

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Detalles Bibliográficos
Autores principales: Adeli, Ehsan, Zhao, Qingyu, Zahr, Natalie M., Goldstone, Aimee, Pfefferbaum, Adolf, Sullivan, Edith V., Pohl, Kilian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780846/
https://www.ncbi.nlm.nih.gov/pubmed/32841716
http://dx.doi.org/10.1016/j.neuroimage.2020.117293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780846/
https://www.ncbi.nlm.nih.gov/pubmed/32841716
http://dx.doi.org/10.1016/j.neuroimage.2020.117293

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