Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures. uri icon

authors

  • Yang, Zhijian
  • Parmpi, Paraskevi
  • Wittfeld, Katharina
  • Grabe, Hans J
  • Bülow, Robin
  • Frenzel, Stefan
  • Tosun, Duygu
  • Bilgel, Murat
  • An, Yang
  • Yi, Dahyun
  • Marcus, Daniel S
  • Wen, Junhao
  • 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
  • Erus, Guray
  • 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
  • Govindarajan, Sindhuja T
  • Kristine Yaffe, MD
  • Völzke, Henry
  • Ferrucci, Luigi
  • Bryan, Nick R
  • Shinohara, Russell T
  • Fan, Yong
  • Habes, Mohamad
  • Lalousis, Paris Alexandros
  • Koutsouleris, Nikolaos
  • Wolk, David A
  • Melhem, Randa
  • Resnick, Susan M
  • Shou, Haochang
  • Nasrallah, Ilya M
  • Davatzikos, Christos
  • Mamourian, Elizabeth
  • Cui, Yuhan
  • Srinivasan, Dhivya
  • Abdulkadir, Ahmed

publication date

  • December 30, 2023