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Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

: 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.; 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.; Oyang, Y.-J.; 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.; Xu, J.; Yang, H.; Zhan, X.; Zhou, Y.; Zhu, F.; Zhu, H.; Zhu, S.


Alzheimer's & dementia 12 (2016), Nr.6, S.645-653
ISSN: 1552-5260
ISSN: 1552-5279
Fraunhofer SCAI ()

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.