Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8686608 | NeuroImage | 2018 | 39 Pages |
Abstract
We applied a high-dimensional machine learning approach to estimate a novel AD risk factor for WHIMS-MRI study participants using ADNI data. The GM AD-PS scores showed strong associations with incident cognitive impairment and cross-sectional and longitudinal associations with age, cognitive function, cognitive status and WM SVID volume lending support to the ongoing validation of the GM AD-PS score.
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Authors
Ramon Casanova, Ryan T. Barnard, Sarah A. Gaussoin, Santiago Saldana, Kathleen M. Hayden, JoAnn E. Manson, Robert B. Wallace, Stephen R. Rapp, Susan M. Resnick, Mark A. Espeland, Jiu-Chiuan Chen,