Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.
Alzheimers Dement
| Authors | |
| Abstract | Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational crowdsourced project to benchmark the current state-of-the-art in predicting cognitive outcomes in Alzheimer's disease based on high dimensional, publicly available genetic and structural imaging data. This meta-analysis failed to identify a meaningful predictor developed from either data modality, suggesting that alternate approaches should be considered for prediction of cognitive performance. |
| Year of Publication | 2016
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| Journal | Alzheimers Dement
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| Volume | 12
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| Issue | 6
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| Pages | 645-53
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| Date Published | 2016 Jun
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| ISSN | 1552-5279
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| URL | |
| DOI | 10.1016/j.jalz.2016.02.006
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| PubMed ID | 27079753
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| Links | |
| Grant list | K25 AG043546 / AG / NIA NIH HHS / United States
R01 AG042611 / AG / NIA NIH HHS / United States
R01 MH086633 / MH / NIMH NIH HHS / United States
T32 CA096520 / CA / NCI NIH HHS / United States
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