Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.
Allen GI., Amoroso N., Anghel C., Balagurusamy V., Bare CJ., Beaton D., Bellotti R., Bennett DA., Boehme KL., Boutros PC., Caberlotto L., 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 RJB., Dong Q., Doshi J., Duma D., Errico R., Erus G., Everett E., Fardo DW., Friend SH., Fröhlich H., Gan J., St George-Hyslop P., Ghosh SS., Glaab E., Green RC., Guan Y., Hong M-Y., Huang C., Hwang J., Ibrahim J., Inglese P., Iyappan A., Jiang Q., Katsumata Y., Kauwe JSK., Klein A., Kong D., Krause R., Lalonde E., Lauria M., Lee E., Lin X., Liu Z., Livingstone J., Logsdon BA., Lovestone S., Ma T-W., Malhotra A., Mangravite LM., Maxwell TJ., Merrill E., Nagorski J., Namasivayam A., Narayan M., Naz M., Newhouse SJ., Norman TC., Nurtdinov RN., Oyang Y-J., Pawitan Y., Peng S., Peters MA., Piccolo SR., Praveen P., Priami C., Sabelnykova VY., Senger P., Shen X., Simmons A., Sotiras A., Stolovitzky G., Tangaro S., Tateo A., Tung Y-A., Tustison NJ., Varol E., Vradenburg G., Weiner MW., Xiao G., Xie L., Xie Y., Xu J., Yang H., Zhan X., Zhou Y., Zhu F., Zhu H., Zhu S., Alzheimer's Disease Neuroimaging Initiative None.
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.