<p>A deep neural network estimation of brain age is sensitive to cognitive impairment and decline</p>

Yisu Yang; Aditi Sathe; Kurt Schilling; Niranjana Shashikumar; Elizabeth Moore; Logan Dumitrescu; Kimberly R Pechman; Bennett A Landman; Katherine A Gifford; Timothy J Hohman; Angela L Jefferson; Derek B Archer

doi:10.7490/f1000research.1119676.1

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Yang Y, Sathe A, Schilling K et al. A deep neural network estimation of brain age is sensitive to cognitive impairment and decline [version 1; not peer reviewed]. F1000Research 2023, 12:1553 (poster) (https://doi.org/10.7490/f1000research.1119676.1)

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A deep neural network estimation of brain age is sensitive to cognitive impairment and decline

Yisu Yang, Aditi Sathe, Kurt Schilling, Niranjana Shashikumar, Elizabeth Moore, Logan Dumitrescu, Kimberly R Pechman, Bennett A Landman, Katherine A Gifford, Timothy J Hohman, Angela L Jefferson, Derek B Archer¹

Published 03 Dec 2023 (https://doi.org/10.7490/f1000research.1119676.1)

Author Affiliations

¹ Vanderbilt Memory & Alzheimer's Center, Vanderbilt Genetics Institute, USA

Copyright © 2023 Yang Y et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Dec 2023

A deep neural network estimation of brain age is sensitive to cognitive impairment and decline
[version 1; not peer reviewed]

Author Affiliations

¹ Vanderbilt Memory & Alzheimer's Center, Vanderbilt Genetics Institute, USA

Presented at

Pacific Symposium on Biocomputing (PSB), 2024

Competing Interests

No competing interests were disclosed

Keywords

Alzheimer’s disease, free-water correction, deep neural network, cognition

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