Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Chenzhong Yin(University of Southern California), Dallas P. Veitch, Juliet Fockler, Richard J. Perrin(Washington University in St. Louis), Nikhil N. Chaudhari(University of Southern California), Nina Silverberg(Banner Sun Health Research Institute), Lisa L. Barnes(Rush University Medical Center), María C. Carrillo(Brigham and Women's Hospital), Marie Bernard, Anar Amgalan(University of Southern California), Jonathan Jackson(Harvard University), Diana Truran Sacrey, Phoebe Imms(University of Southern California), Adam Fleisher(Banner Alzheimer’s Institute), Mingxi Cheng(University of Southern California), Laurel Beckett(Brigham and Women's Hospital), Andrei Irimia(University of Southern California), John C. Morris(Washington University in St. Louis), William Z. Potter(National Heart Lung and Blood Institute), Xinghe Chen(University of Southern California), Héctor Alfredo Baptista González, Eliezer Masliah(University of California San Diego), Cat Conti, Roy J Massett(University of Southern California), Donna Masterman(University of California, Los Angeles), Zaven S. Khachaturian(University of Southern California), Paul M. Thompson(University of Southern California), Leslie M. Shaw(California University of Pennsylvania), Robert C. Green(Boston University), Ozioma C. Okonkwo(University of Wisconsin–Madison), Michael W. Weiner(University of California, San Francisco), Laurie Ryan(Alzheimer's Association), Paul Bogdan(University of Southern California), Carole Ho, Nahian F. Chowdhury(University of Southern California), Eli Lilly, Clifford R. Jack(Mayo Clinic)
Proceedings of the National Academy of Sciences
January 3, 2023
Cited by 127


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