Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer’s disease (AD), but its validation against markers of neurodegeneration and...

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Detalles Bibliográficos
Autores principales: Cumplido-Mayoral, Irene, García-Prat, Marina, Operto, Grégory, Falcon, Carles, Shekari, Mahnaz, Cacciaglia, Raffaele, Milà-Alomà, Marta, Lorenzini, Luigi, Ingala, Silvia, Meije Wink, Alle, Mutsaerts, Henk JMM, Minguillón, Carolina, Fauria, Karine, Molinuevo, José Luis, Haller, Sven, Chetelat, Gael, Waldman, Adam, Schwarz, Adam J, Barkhof, Frederik, Suridjan, Ivonne, Kollmorgen, Gwendlyn, Bayfield, Anna, Zetterberg, Henrik, Blennow, Kaj, Suárez-Calvet, Marc, Vilaplana, Verónica, Gispert, Juan Domingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181824/
https://www.ncbi.nlm.nih.gov/pubmed/37067031
http://dx.doi.org/10.7554/eLife.81067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181824/
https://www.ncbi.nlm.nih.gov/pubmed/37067031
http://dx.doi.org/10.7554/eLife.81067

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