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

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• 作者：Genevera I. Allen^a ; Nicola Amoroso^b ; ^c ; Catalina Anghel^d ; Venkat Balagurusamy^e ; Christopher J. Bare^f ; Derek Beaton^g ; Roberto Bellotti^b ; ^c ; David A. Bennett^h ; Kevin L. Boehmeⁱ ; Paul C. Boutros^d ; ^j ; ^k ; Laura Caberlotto^l ; Cristian Caloian^d ; Frederick Campbell^a ; Elias Chaibub Neto^f ; Yu-Chuan Chang^m ; Beibei Chenⁿ ; Chien-Yu Chen^o ; Ting-Ying Chien^p ; Tim Clark^q ; ^r ; Sudeshna Das^q ; ^r ; Christos Davatzikos^s ; Jieyao Deng^t ; ^u ; Donna Dillenberger^e ; Richard J.B. Dobson^v ; ^w ; ^ccc ; Qilin Dong^t ; ^u ; Jimit Doshi^s ; Denise Duma^x ; Rosangela Errico^y ; Guray Erus^s ; Evan Everett^a ; David W. Fardo^z ; ^aa ; Stephen H. Friend^f ; Holger Frö ; hlich^bb ; Jessica Gan^a ; Peter St George-Hyslop^cc ; Satrajit S. Ghosh^dd ; ^ee ; Enrico Glaab^ff ; Robert C. Green^gg ; Yuanfang Guan^hh ; ⁱⁱ ; ^jj ; Ming-Yi Hong^o ; Chao Huang^kk ; Jinseub Hwang^ll ; Joseph Ibrahim^kk ; Paolo Inglese^mm ; Anandhi Iyappan^oo ; ^bb ; Qijia Jiang^a ; Yuriko Katsumata^aa ; John S.K. Kauweⁱ ; ^{kauwe@byu.edu" class="auth_mail" title="E-mail the corresponding author} ; Arno Klein^f ; ^{arno@binarybottle.com" class="auth_mail" title="E-mail the corresponding author} ; Dehan Kong^kk
• 关键词：Azheimer's disease ; Biomarkers ; Crowdsource ; Big data ; Bioinformatics ; Cognitive decline ; Imaging ; Genetics
• 刊名：Alzheimer's & Dementia
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：12
• 期：6
• 页码：645-653
• 全文大小：1662 K

文摘

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.