Modeling autosomal dominant Alzheimer's disease with machine learning.
Pittsburgh compound B (PiB)
autosomal dominant Alzheimer's disease (ADAD)
fluorodeoxyglucose (FDG)
machine learning
magnetic resonance imaging (MRI)
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
revised:
06
11
2020
received:
06
05
2020
accepted:
08
11
2020
pubmed:
23
1
2021
medline:
16
11
2021
entrez:
22
1
2021
Statut:
ppublish
Résumé
Machine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer's disease. 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. 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 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.
Identifiants
pubmed: 33480178
doi: 10.1002/alz.12259
pmc: PMC8195816
mid: NIHMS1648082
doi:
Substances chimiques
2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazole
0
Amyloid
0
Aniline Compounds
0
Thiazoles
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1005-1016Subventions
Organisme : NIA NIH HHS
ID : P30 AG066444
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005131
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG053474
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG026276
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG046179
Pays : United States
Organisme : NIA NIH HHS
ID : UF1 AG032438
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG032438
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG042791
Pays : United States
Organisme : NIH HHS
ID : S10 OD018091
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG003991
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005681
Pays : United States
Organisme : NIA NIH HHS
ID : T32 AG058518
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR022984
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB009352
Pays : United States
Organisme : NINDS NIH HHS
ID : P30 NS098577
Pays : United States
Organisme : NIH HHS
ID : S10 OD025214
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG052550
Pays : United States
Informations de copyright
© 2021 the Alzheimer's Association.
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