Predicting phenotypes of elderly from resting state fMRI

Machine learning techniques are increasingly embraced in neuroimaging studies of healthy and diseased human brains. They have been used successfully in predicting phenotypes, or even clinical outcomes, and in turning functional connectome metrics into phenotype biomarkers of both healthy individuals...

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Detalles Bibliográficos
Autores principales: Verovnik, Barbara, Hajduk, Stefan, Hulle, Marc Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441519/
https://www.ncbi.nlm.nih.gov/pubmed/37609310
http://dx.doi.org/10.21203/rs.3.rs-3201603/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441519/
https://www.ncbi.nlm.nih.gov/pubmed/37609310
http://dx.doi.org/10.21203/rs.3.rs-3201603/v1

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