Journal
NeuroImage
Publication Date
8-1-2022
Volume
256
First Page
119228
Document Type
Open Access Publication
DOI
10.1016/j.neuroimage.2022.119228
Rights and Permissions
Millar PR, Luckett PH, Gordon BA, Benzinger TLS, Schindler SE, Fagan AM, Cruchaga C, Bateman RJ, Allegri R, Jucker M, Lee JH, Mori H, Salloway SP, Yakushev I, Morris JC, Ances BM; Dominantly Inherited Alzheimer Network. Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease. Neuroimage. 2022 Aug 1;256:119228. doi: 10.1016/j.neuroimage.2022.119228. © 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Recommended Citation
Millar, Peter R.; Luckett, Patrick H.; Gordon, Brian A.; Benzinger, Tammie L. S.; Schindler, Suzanne E.; Fagan, Anne M.; Cruchaga, Carlos; Bateman, Randall J.; Allegri, Ricardo; Jucker, Mathias; Lee, Jae-Hong; Mori, Hiroshi; Salloway, Stephen P.; Yakushev, Igor; Morris, John C.; Ances, Beau M.; and Dominantly Inherited Alzheimer Network, "Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease." NeuroImage. 256, 119228 (2022).
https://digitalcommons.wustl.edu/oa_4/1601
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
