Deep learning-based brain age prediction in normal aging and dementia-Reference-Cited by-同舟云学术

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Deep learning-based brain age prediction in normal aging and dementia

Published:2022-05-09 Issue:5 Volume:2 Page:412-424
ISSN:2662-8465
Container-title:Nature Aging
language:en
Short-container-title:Nat Aging

Author:

Lee Jeyeon,Burkett Brian J.^ORCID,Min Hoon-Ki,Senjem Matthew L.^ORCID,Lundt Emily S.,Botha Hugo,Graff-Radford Jonathan,Barnard Leland R.,Gunter Jeffrey L.,Schwarz Christopher G.^ORCID,Kantarci Kejal,Knopman David S.,Boeve Bradley F.,Lowe Val J.,Petersen Ronald C.^ORCID,Jack Clifford R.^ORCID,Jones David T.^ORCID

Funder

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Neuroscience (miscellaneous),Geriatrics and Gerontology,Aging

Link

https://www.nature.com/articles/s43587-022-00219-7.pdf

Reference74 articles.

1. López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M. & Kroemer, G. The hallmarks of aging. Cell 153, 1194–1217 (2013).

2. Harman, D. Aging: overview. Ann. N. Y. Acad. Sci. 928, 1–21 (2001).

3. Courchesne, E. et al. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 216, 672–682 (2000).

4. Good, C. D. et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14, 21–36 (2001).

5. Sowell, E. R. et al. Mapping cortical change across the human life span. Nat. Neurosci. 6, 309–315 (2003).

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