Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Journal
Alzheimer's and Dementia
Journal Volume
12
Journal Issue
6
Pages
645-653
Date Issued
2016
Author(s)
Allen G.I.
Amoroso N.
Anghel C.
Balagurusamy V.
Bare C.J.
Beaton D.
Bellotti R.
Bennett D.A.
Boehme K.L.
Boutros P.C.
Caberlotto L.
Xu J.
Zhan X.
Zhou Y.
Zhu F.
Zhu H.
Zhu S.
Chen, C.-Y.
Caloian C.
Campbell F.
Chaibub Neto E.
Chang Y.-C.
Chen B.
Chen C.-Y.
Chien T.-Y.
Clark T.
Das S.
Davatzikos C.
Deng J.
Dillenberger D.
Dobson R.J.B.
Dong Q.
Doshi J.
Duma D.
Errico R.
Erus G.
Everett E.
Fardo D.W.
Friend S.H.
Fröhlich H.
Gan J.
St George-Hyslop P.
Ghosh S.S.
Glaab E.
Green R.C.
Guan Y.
Hong M.-Y.
Huang C.
Hwang J.
Ibrahim J.
Inglese P.
Iyappan A.
Jiang Q.
Katsumata Y.
Kauwe J.S.K.
Klein A.
Kong D.
Krause R.
Lalonde E.
Lauria M.
Lee E.
Lin X.
Liu Z.
Livingstone J.
Logsdon B.A.
Lovestone S.
Ma T.-W.
Malhotra A.
Mangravite L.M.
Maxwell T.J.
Merrill E.
Nagorski J.
Namasivayam A.
Narayan M.
Naz M.
Newhouse S.J.
Norman T.C.
Nurtdinov R.N.
Pawitan Y.
Peng S.
Peters M.A.
Piccolo S.R.
Praveen P.
Priami C.
Sabelnykova V.Y.
Senger P.
Shen X.
Simmons A.
Sotiras A.
Stolovitzky G.
Tangaro S.
Tateo A.
Tung Y.-A.
Tustison N.J.
Varol E.
Vradenburg G.
Weiner M.W.
Xiao G.
Xie L.
Xie Y.
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.
SDGs
Other Subjects
Alzheimer disease; Article; cognitive defect; coping behavior; crowdsourcing; human; meta analysis; Mini Mental State Examination; neuroimaging; nuclear magnetic resonance imaging; prediction; priority journal; Alzheimer disease; bibliographic database; biology; Cognition Disorders; complication; genetics; predictive value; statistics and numerical data; apolipoprotein E; biological marker; Alzheimer Disease; Apolipoproteins E; Biomarkers; Cognition Disorders; Computational Biology; Databases, Bibliographic; Humans; Predictive Value of Tests
Type
journal article