A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE

Several imaging modalities, including T1-weighted structural imaging, diffusion tensor imaging, and functional MRI can show chronological age related changes. Employing machine learning algorithms, an individual's imaging data can predict their age with reasonable accuracy. While details vary a...

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Detalles Bibliográficos
Autores principales: Le, Trang T., Kuplicki, Rayus T., McKinney, Brett A., Yeh, Hung-Wen, Thompson, Wesley K., Paulus, Martin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208001/
https://www.ncbi.nlm.nih.gov/pubmed/30405393
http://dx.doi.org/10.3389/fnagi.2018.00317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208001/
https://www.ncbi.nlm.nih.gov/pubmed/30405393
http://dx.doi.org/10.3389/fnagi.2018.00317

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