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Brain aging patterns in a large and diverse cohort of 49,482 individuals

Zhijian Yang, Junhao Wen, Güray Erus, Sindhuja Tirumalai 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, Jürgen Fripp, Arthur W. Toga, Sid E. O’Bryant, M. Mallar Chakravarty, Sylvia Villeneuve, Sterling C. Johnson, John C. Morris, Marilyn Albert, Kristine Yaffe, Henry Völzke, Luigi Ferrucci, R. Nick 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

2024Nature Medicine79 citationsDOIOpen Access PDF

Topics & Concepts

Brain agingCohortAtrophyNeuroimagingPopulationEndophenotypeAging brainMedicineBrain sizeDiseaseNeuroscienceBioinformaticsPsychologyMagnetic resonance imagingBiologyCognitionPathologyEnvironmental healthRadiologyDementia and Cognitive Impairment ResearchFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications