A probabilistic histological atlas of the human brain for MRI segmentation

We would like to thank the donors, without whom this work would have not been possible. We would also like to acknowledge P. Johns for his invaluable courses in neuroanatomy at St George's, University of London. Data collection and sharing for the ADNI data used in this article was funded by the Alzheimer's Disease Neuroimaging Initiative (National Institutes of Health grant no. U01 AG024904) and DOD ADNI (Department of Defense grant no. W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering and through generous contributions from the following: AbbVie, Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. This research has been primarily funded by the European Research Council awarded to J.E.I. (Starting grant no. 677697, project 'BUNGEE-TOOLS'). A.C. is supported by the POSTDOC-UdG203 grant from Universitat de Girona. M.B. is supported by a Fellowship award from the Alzheimer's Society, UK (grant no. AS-JF-19a-004-517). O.P. is supported by a grant from the Lundbeck foundation (grant no. R360-2021-39). M.M. is supported by the Italian National Institute of Health with a Starting Grant and by the Wellcome Trust through a Sir Henry Wellcome Fellowship (grant no. 213722/Z/18/Z). B.L.E. is supported by the Chen Institute MGH Research Scholar Award. Further support was provided by NIH grant nos. 1RF1MH123195, 1R01AG070988, 1UM1MH130981, 1RF1AG080371 and 1R21NS109627.