Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures
通过深度学习识别出大脑衰老的五个主要维度:与临床、生活方式和遗传指标的关联
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doi:10.1101/2023.12.29.23300642
Yang, Zhijian; Wen, Junhao; Erus, Guray; Govindarajan, Sindhuja T; Melhem, Randa; Mamourian, Elizabeth; Cui, Yuhan; Srinivasan, Dhivya; Abdulkadir, Ahmed; Parmpi, Paraskevi; Wittfeld, Katharina; Grabe, Hans J; Bülow, Robin; Frenzel, Stefan; Tosun, Duygu; Bilgel, Murat; An, Yang; Yi, Dahyun; Marcus, Daniel S; LaMontagne, Pamela; Benzinger, Tammie L S; Heckbert, Susan R; Austin, Thomas R; Waldstein, Shari R; Evans, Michele K; Zonderman, Alan B; Launer, Lenore J; Sotiras, Aristeidis; Espeland, Mark A; Masters, Colin L; Maruff, Paul; Fripp, Jurgen; Toga, Arthur; O'Bryant, Sid; Chakravarty, Mallar M; Villeneuve, Sylvia; Johnson, Sterling C; Morris, John C; Albert, Marilyn S; Yaffe, Kristine; Völzke, Henry; Ferrucci, Luigi; Bryan, Nick R; Shinohara, Russell T; Fan, Yong; Habes, Mohamad; Lalousis, Paris Alexandros; Koutsouleris, Nikolaos; Wolk, David A; Resnick, Susan M; Shou, Haochang; Nasrallah, Ilya M; Davatzikos, Christos