Zhijian Yang, Junhao Wen, Guray Erus, Sindhuja T Govindarajan, Randa Melhem, Elizabeth Mamourian, Yuhan Cui, Dhivya Srinivasan, Ahmed Abdulkadir, Paraskevi Parmpi, Katharina Wittfeld, Hans J Grabe, Robin Bülow, Stefan Frenzel, Duygu Tosun, Murat Bilgel, Yang An, Dahyun Yi, Daniel S Marcus, Pamela LaMontagne, Tammie L S Benzinger, Susan R Heckbert, Thomas R Austin, Shari R Waldstein, Michele K Evans, Alan B Zonderman, Lenore J Launer, Aristeidis Sotiras, Mark A Espeland, Colin L Masters, Paul Maruff, Jurgen Fripp, Arthur Toga, Sid O'Bryant, Mallar M Chakravarty, Sylvia Villeneuve, Sterling C Johnson, John C Morris, Marilyn S Albert, Kristine Yaffe, Henry Völzke, Luigi Ferrucci, Nick R Bryan, Russell T Shinohara, Yong Fan, Mohamad Habes, Paris Alexandros Lalousis, Nikolaos Koutsouleris, David A Wolk, Susan M Resnick, Haochang Shou, Ilya M Nasrallah, Christos Davatzikos
Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors, as well as by age-related and often co-existing pathologies. MRI and, more recently, AI methods have been instrumental in understanding the neuroanatomical changes that occur during aging in large and diverse populations. However, the multiplicity and mutual overlap of both pathologic processes and affected brain regions make it difficult to precisely characterize the underlying neurodegenerative profile of an individual from an MRI scan...
December 30, 2023: medRxiv