Support vector machine learning and diffusion-derived structural networks predict amyloid quantity and cognition in adults with Down’s syndrome

Down’s syndrome results from trisomy of chromosome 21, a genetic change which also confers a probable 100% risk for the development of Alzheimer’s disease neuropathology (amyloid plaque and neurofibrillary tangle formation) in later life. We aimed to assess the effectiveness of diffusion-weighted im...

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Detalles Bibliográficos
Autores principales: Brown, Stephanie S.G., Mak, Elijah, Clare, Isabel, Grigorova, Monika, Beresford-Webb, Jessica, Walpert, Madeline, Jones, Elizabeth, Hong, Young T., Fryer, Tim D., Coles, Jonathan P., Aigbirhio, Franklin I., Tudorascu, Dana, Cohen, Annie, Christian, Bradley T., Handen, Benjamin L., Klunk, William E., Menon, David K., Nestor, Peter J., Holland, Anthony J., Zaman, Shahid H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327571/
https://www.ncbi.nlm.nih.gov/pubmed/35418341
http://dx.doi.org/10.1016/j.neurobiolaging.2022.02.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327571/
https://www.ncbi.nlm.nih.gov/pubmed/35418341
http://dx.doi.org/10.1016/j.neurobiolaging.2022.02.013

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