Modeling autosomal dominant Alzheimer's disease with machine learning.

Autor:	Luckett PH; Washington University in St. Louis, St. Louis, Missouri, USA., McCullough A; Washington University in St. Louis, St. Louis, Missouri, USA., Gordon BA; Washington University in St. Louis, St. Louis, Missouri, USA., Strain J; Washington University in St. Louis, St. Louis, Missouri, USA., Flores S; Washington University in St. Louis, St. Louis, Missouri, USA., Dincer A; Washington University in St. Louis, St. Louis, Missouri, USA., McCarthy J; Washington University in St. Louis, St. Louis, Missouri, USA., Kuffner T; Washington University in St. Louis, St. Louis, Missouri, USA., Stern A; Washington University in St. Louis, St. Louis, Missouri, USA., Meeker KL; Washington University in St. Louis, St. Louis, Missouri, USA., Berman SB; University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Chhatwal JP; Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Massachusetts, USA., Cruchaga C; Washington University in St. Louis, St. Louis, Missouri, USA., Fagan AM; Washington University in St. Louis, St. Louis, Missouri, USA., Farlow MR; Indiana University, Bloomington, Indiana, USA., Fox NC; Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK., Jucker M; German Center for Neurodegenerative Disease, Tübingen, Germany., Levin J; Ludwig Maximilian University of Munich, Munich, Germany.; German Center for Neurodegenerative Diseases, Munich, Germany.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany., Masters CL; Florey Institute, The University of Melbourne, Parkville, VIC, Australia., Mori H; Osaka City University, Sumiyoshi Ward, Osaka, Japan., Noble JM; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, G.H. Sergievsky Center and Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA., Salloway S; Brown University, Providence, Rhode Island, USA., Schofield PR; Neuroscience Research Australia, Randwick, NSW, Australia.; University of New South Wales, Sydney, NSW, Australia., Brickman AM; Columbia University, New York, New York, USA., Brooks WS; Neuroscience Research Australia, Randwick, NSW, Australia.; University of New South Wales, Sydney, NSW, Australia., Cash DM; Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK., Fulham MJ; Department of Molecular Imaging, Royal Prince Alfred Hospital, Missenden Road, Camperdown, NSW, Australia.; University of Sydney, Sydney, NSW, Australia., Ghetti B; Indiana University, Bloomington, Indiana, USA., Jack CR Jr; Mayo Clinic, Rochester, Minnesota, USA., Vöglein J; German Center for Neurodegenerative Diseases, Munich, Germany.; Department of Neurology, Ludwig-Maximilians-Universität München, München, Germany., Klunk W; University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Koeppe R; University of Michigan, Ann Arbor, Michigan, USA., Oh H; Brown University, Providence, Rhode Island, USA., Su Y; Banner Alzheimer Institute, Phoenix, Arizona, USA., Weiner M; University of California, La Jolla, California, USA., Wang Q; Washington University in St. Louis, St. Louis, Missouri, USA., Swisher L; Washington University in St. Louis, St. Louis, Missouri, USA., Marcus D; Washington University in St. Louis, St. Louis, Missouri, USA., Koudelis D; Washington University in St. Louis, St. Louis, Missouri, USA., Joseph-Mathurin N; Washington University in St. Louis, St. Louis, Missouri, USA., Cash L; Washington University in St. Louis, St. Louis, Missouri, USA., Hornbeck R; Washington University in St. Louis, St. Louis, Missouri, USA., Xiong C; Washington University in St. Louis, St. Louis, Missouri, USA., Perrin RJ; Washington University in St. Louis, St. Louis, Missouri, USA., Karch CM; Washington University in St. Louis, St. Louis, Missouri, USA., Hassenstab J; Washington University in St. Louis, St. Louis, Missouri, USA., McDade E; Washington University in St. Louis, St. Louis, Missouri, USA., Morris JC; Washington University in St. Louis, St. Louis, Missouri, USA., Benzinger TLS; Washington University in St. Louis, St. Louis, Missouri, USA., Bateman RJ; Washington University in St. Louis, St. Louis, Missouri, USA., Ances BM; Washington University in St. Louis, St. Louis, Missouri, USA.
Jazyk:	angličtina
Zdroj:	Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2021 Jun; Vol. 17 (6), pp. 1005-1016. Date of Electronic Publication: 2021 Jan 21.
DOI:	10.1002/alz.12259
Abstrakt:	Introduction: Machine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer's disease. Methods: Longitudinal structural magnetic resonance imaging, amyloid positron emission tomography (PET), and fluorodeoxyglucose PET were acquired in 131 mutation carriers and 74 non-carriers from the Dominantly Inherited Alzheimer Network; the groups were matched for age, education, sex, and apolipoprotein ε4 (APOE ε4). A deep neural network was trained to predict disease progression for each modality. Relief algorithms identified the strongest predictors of mutation status. Results: The Relief algorithm identified the caudate, cingulate, and precuneus as the strongest predictors among all modalities. The model yielded accurate results for predicting future Pittsburgh compound B (R 2  = 0.95), fluorodeoxyglucose (R 2  = 0.93), and atrophy (R 2  = 0.95) in mutation carriers compared to non-carriers. Discussion: Results suggest a sigmoidal trajectory for amyloid, a biphasic response for metabolism, and a gradual decrease in volume, with disease progression primarily in subcortical, middle frontal, and posterior parietal regions. (© 2021 the Alzheimer's Association.)
Databáze:	MEDLINE
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