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dc.contributor.authorAllen, Genevera I.
Amoroso, Nicola
Anghel, Catalina
Balagurusamy, Venkat
Bare, Christopher J.
Beaton, Derek
Bellotti, Roberto
Bennett, David A.
Boehme, Kevin L.
Boutros, Paul C.
Caberlotto, Laura
Caloian, Cristian
Campbell, Frederick
Neto, Elias Chaibub
Chang, Yu-Chuan
Chen, Beibei
Chen, Chien-Yu
Chien, Ting-Ying
Clark, Tim
Das, Sudeshna
Davatzikos, Christos
Deng, Jieyao
Dillenberger, Donna
Dobson, Richard J.B.
Dong, Qilin
Doshi, Jimit
Duma, Denise
Errico, Rosangela
Erus, Guray
Everett, Evan
Fardo, David W.
Friend, Stephen H.
Frӧhlich, Holger
Gan, Jessica
St George-Hyslop, Peter
Ghosh, Satrajit S.
Glaab, Enrico
Green, Robert C.
Guan, Yuanfang
Hong, Ming-Yi
Huang, Chao
Hwang, Jinseub
Ibrahim, Joseph
Inglese, Paolo
Iyappan, Anandhi
Jiang, Qijia
Katsumata, Yuriko
Kauwe, John S.K.
Klein, Arno
Kong, Dehan
Krause, Roland
Lalonde, Emilie
Lauria, Mario
Lee, Eunjee
Lin, Xihui
Liu, Zhandong
Livingstone, Julie
Logsdon, Benjamin A.
Lovestone, Simon
Ma, Tsung-wei
Malhotra, Ashutosh
Mangravite, Lara M.
Maxwell, Taylor J.
Merrill, Emily
Nagorski, John
Namasivayam, Aishwarya
Narayan, Manjari
Naz, Mufassra
Newhouse, Stephen J.
Norman, Thea C.
Nurtdinov, Ramil N.
Oyang, Yen-Jen
Pawitan, Yudi
Peng, Shengwen
Peters, Mette A.
Piccolo, Stephen R.
Praveen, Paurush
Priami, Corrado
Sabelnykova, Veronica Y.
Senger, Philipp
Shen, Xia
Simmons, Andrew
Sotiras, Aristeidis
Stolovitzky, Gustavo
Tangaro, Sabina
Tateo, Andrea
Tung, Yi-An
Tustison, Nicholas J.
Varol, Erdem
Vradenburg, George
Weiner, Michael W.
Xiao, Guanghua
Xie, Lei
Xie, Yang
Xu, Jia
Yang, Hojin
Zhan, Xiaowei
Zhou, Yunyun
Zhu, Fan
Zhu, Hongtu
Zhu, Shanfeng
Alzheimer’s Disease Neuroimaging Initiative
dc.date.accessioned 2017-05-09T20:16:06Z
dc.date.available 2017-05-09T20:16:06Z
dc.date.issued 2016
dc.identifier.citation Allen, Genevera I., Amoroso, Nicola, Anghel, Catalina, et al.. "Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease." Alzheimer's & Dementia, 12, no. 6 (2016) Elsevier: 645-653. https://doi.org/10.1016/j.jalz.2016.02.006.
dc.identifier.urihttps://hdl.handle.net/1911/94205
dc.description.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.
dc.language.iso eng
dc.publisher Elsevier
dc.rights This is an open access article under the CC BY-NC-ND license
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
dc.type Journal article
dc.citation.journalTitle Alzheimer's & Dementia
dc.subject.keywordAzheimer’s disease
Biomarkers
Crowdsource
Big data
Bioinformatics
Cognitive decline
Imaging
Genetics
dc.citation.volumeNumber 12
dc.citation.issueNumber 6
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1016/j.jalz.2016.02.006
dc.identifier.pmid 27079753
dc.type.publication publisher version
dc.citation.firstpage 645
dc.citation.lastpage 653


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