Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease

The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. T...

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Detalles Bibliográficos
Autores principales: Gamberger, Dragan, Lavrač, Nada, Srivatsa, Shantanu, Tanzi, Rudolph E., Doraiswamy, P. Murali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533731/
https://www.ncbi.nlm.nih.gov/pubmed/28755001
http://dx.doi.org/10.1038/s41598-017-06624-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533731/
https://www.ncbi.nlm.nih.gov/pubmed/28755001
http://dx.doi.org/10.1038/s41598-017-06624-y

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