MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide

Bashyam, Vishnu; Erus, Güray; Doshi, Jimit; Habes, Mohamad; M. Nasrallah, Ilya; Truelove‐Hill, Monica; Srinivasan, Dhivya; Mamourian, Liz; Pomponio, Raymond; Fan, Yong; J. Launer, Lenore; L. Masters, Colin; Maruff, Paul; Zhuo, Chuanjun; Völzke, Henry; C. Johnson, Sterling; Fripp, Jürgen; Koutsouleris, Nikolaos; D. Satterthwaite, Theodore; H. Wolf, Daniel; E. Gur, Raquel; C. Gur, Ruben; C. Morris, John; S. Albert, Marilyn; J. Grabe, Hans; M. Resnick, Susan; Nick Bryan, R.; A. Wolk, David; Shou, Haochang; Davatzikos, Christos

doi:10.1093/brain/awaa160

Public

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide

Published in Brain • May 2, 2020

Authors:

Vishnu Bashyam

Güray Erus

Jimit Doshi

Abstract

Deep learning has emerged as a powerful approach to constructing imaging signatures of normal brain ageing as well as of various neuropathological processes associated with brain diseases. In particular, MRI-derived brain age has been used as a comprehensive biomarker of brain health that can identi...

Subject

Brain aging

Neuroimaging

Ageing

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