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Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Author(s) -
Allen 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,
Chaibub Neto Elias,
Chang YuChuan,
Chen Beibei,
Chen ChienYu,
Chien TingYing,
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.,
Fröhlich Holger,
Gan Jessica,
St GeorgeHyslop Peter,
Ghosh Satrajit S.,
Glaab Enrico,
Green Robert C.,
Guan Yuanfang,
Hong MingYi,
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 Tsungwei,
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 YenJen,
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 YiAn,
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
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.02.006
Subject(s) - cognitive decline , disease , cognition , psychological resilience , benchmark (surveying) , psychology , alzheimer's disease , resilience (materials science) , cognitive psychology , data science , computer science , medicine , artificial intelligence , neuroscience , dementia , pathology , geography , psychotherapist , physics , thermodynamics , geodesy
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.