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

Alzheimers Dement

Authors	Genevera Allen Nicola Amoroso Catalina Anghel Venkat Balagurusamy Christopher Bare Derek Beaton Roberto Bellotti David Bennett Kevin Boehme Paul Boutros Laura Caberlotto Cristian Caloian Frederick Campbell Elias Neto Yu-Chuan Chang Beibei Chen Chien-Yu Chen Ting-Ying Chien Tim Clark Sudeshna Das Christos Davatzikos Jieyao Deng Donna Dillenberger Richard Dobson Qilin Dong Jimit Doshi Denise Duma Rosangela Errico Guray Erus Evan Everett David Fardo Stephen Friend Holger Fröhlich Jessica Gan Peter St George-Hyslop Satrajit Ghosh Enrico Glaab Robert Green Yuanfang Guan Ming-Yi Hong Chao Huang Jinseub Hwang Joseph Ibrahim Paolo Inglese Anandhi Iyappan Qijia Jiang Yuriko Katsumata John Kauwe Arno Klein Dehan Kong Roland Krause Emilie Lalonde Mario Lauria Eunjee Lee Xihui Lin Zhandong Liu Julie Livingstone Benjamin Logsdon Simon Lovestone Tsung-Wei Ma Ashutosh Malhotra Lara Mangravite Taylor Maxwell Emily Merrill John Nagorski Aishwarya Namasivayam Manjari Narayan Mufassra Naz Stephen Newhouse Thea Norman Ramil Nurtdinov Yen-Jen Oyang Yudi Pawitan Shengwen Peng Mette Peters Stephen Piccolo Paurush Praveen Corrado Priami Veronica Sabelnykova Philipp Senger Xia Shen Andrew Simmons Aristeidis Sotiras Gustavo Stolovitzky Sabina Tangaro Andrea Tateo Yi-An Tung Nicholas Tustison Erdem Varol George Vradenburg Michael Weiner Guanghua Xiao Lei Xie Yang Xie Jia Xu Hojin Yang Xiaowei Zhan Yunyun Zhou Fan Zhu Hongtu Zhu Shanfeng Zhu Alzheimer's Disease Neuroimaging Initiative
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.
Year of Publication	2016
Journal	Alzheimers Dement
Volume	12
Issue	6
Pages	645-53
Date Published	2016 Jun
ISSN	1552-5279
URL	http://linkinghub.elsevier.com/retrieve/pii/S1552-5260(16)00081-9
DOI	10.1016/j.jalz.2016.02.006
PubMed ID	27079753
Links	PubMed Google Scholar DOI
Grant list	K25 AG043546 / AG / NIA NIH HHS / United States R01 AG042611 / AG / NIA NIH HHS / United States R01 MH086633 / MH / NIMH NIH HHS / United States T32 CA096520 / CA / NCI NIH HHS / United States

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