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

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...

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Bibliographic Details

Published in:	Brain (London, England : 1878) Vol. 143; no. 7; p. 2312
Main Authors:	Bashyam, Vishnu M, Erus, Guray, Doshi, Jimit, Habes, Mohamad, Nasrallah, Ilya, Truelove-Hill, Monica, Srinivasan, Dhivya, Mamourian, Liz, Pomponio, Raymond, Fan, Yong, Launer, Lenore J, Masters, Colin L, Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C, Fripp, Jurgen, Koutsouleris, Nikolaos, Satterthwaite, Theodore D, Wolf, Daniel, Gur, Raquel E, Gur, Ruben C, Morris, John, Albert, Marilyn S, Grabe, Hans J, Resnick, Susan, Bryan, R Nick, Wolk, David A, Shou, Haochang, Davatzikos, Christos
Format:	Journal Article
Language:	English
Published:	England 01.07.2020
Subjects:	Aging Brain - diagnostic imaging Brain Diseases - diagnostic imaging Deep Learning Female Humans Image Processing, Computer-Assisted Longevity Magnetic Resonance Imaging Male Neuroimaging - methods deep learning transfer learning brain age
ISSN:	1460-2156, 1460-2156
Online Access:	Get more information
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