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 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, Fröhlich 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
Department of Statistics and Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Dipartimento di Fisica "M. Merlin", Università degli studi di Bari "A. Moro", Bari, Italy; Sezione di Bari, Istituto Nazionale di Fisica Nucleare, Bari, Italy.
Alzheimers Dement. 2016 Jun;12(6):645-53. doi: 10.1016/j.jalz.2016.02.006. Epub 2016 Apr 11.
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.
识别认知衰退的准确生物标志物对于推进阿尔茨海默病的早期诊断和预防治疗至关重要。阿尔茨海默病DREAM挑战赛被设计为一个计算众包项目，旨在基于高维、公开可用的基因和结构成像数据，对阿尔茨海默病认知结果预测的当前技术水平进行基准测试。这项荟萃分析未能识别出从任何一种数据模式中开发出的有意义的预测指标，这表明应考虑采用其他方法来预测认知表现。
