Persistent metabolic youth in the aging female brain

Sex differences influence brain morphology and physiology during both development and aging. Here we apply a machine learning algorithm to a multiparametric brain PET imaging dataset acquired in a cohort of 20- to 82-year-old, cognitively normal adults (n = 205) to define their metabolic brain age....

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Detalles Bibliográficos
Autores principales: Goyal, Manu S., Blazey, Tyler M., Su, Yi, Couture, Lars E., Durbin, Tony J., Bateman, Randall J., Benzinger, Tammie L.-S., Morris, John C., Raichle, Marcus E., Vlassenko, Andrei G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386682/
https://www.ncbi.nlm.nih.gov/pubmed/30718410
http://dx.doi.org/10.1073/pnas.1815917116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386682/
https://www.ncbi.nlm.nih.gov/pubmed/30718410
http://dx.doi.org/10.1073/pnas.1815917116

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