Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias

Authors

Robert J Jirsaraie, Washington University in St. Louis
Tobias Kaufmann, University of Tübingen
Vishnu Bashyam, University of Pennsylvania
Guray Erus, University of Pennsylvania
Joan L Luby, Washington University School of Medicine in St. Louis
Lars T Westlye, University of Oslo
Christos Davatzikos, University of Pennsylvania
Deanna M Barch, Washington University School of Medicine in St. Louis
Aristeidis Sotiras, Washington University School of Medicine in St. Louis

Journal

Human brain mapping

Publication Date

2-15-2023

Volume

44

Issue

3

First Page

1118

Last Page

1128

Document Type

Open Access Publication

DOI

10.1002/hbm.26144

Rights and Permissions

Jirsaraie, R. J., Kaufmann, T., Bashyam, V., Erus, G., Luby, J. L., Westlye, L. T., Davatzikos, C., Barch, D. M., & Sotiras, A. (2023). Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias. Human Brain Mapping, 44(3), 1118–1128. https://doi.org/10.1002/hbm.26144 © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Recommended Citation

Jirsaraie, Robert J; Kaufmann, Tobias; Bashyam, Vishnu; Erus, Guray; Luby, Joan L; Westlye, Lars T; Davatzikos, Christos; Barch, Deanna M; and Sotiras, Aristeidis, "Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias." Human brain mapping. 44, 3. 1118 - 1128. (2023).
https://digitalcommons.wustl.edu/oa_4/2539

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.