Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning.
Alzheimer’s disease
cognitive decline
deep learning
hippocampus
mild cognitive impairment
Journal
Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718
Informations de publication
Date de publication:
22 01 2022
22 01 2022
Historique:
pubmed:
30
7
2021
medline:
1
4
2022
entrez:
29
7
2021
Statut:
ppublish
Résumé
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI progression have often focused on the hippocampus but have mostly overlooked its intricate structure and subdivisions. Here, we utilized deep learning to delineate the contribution of hippocampal subfields to MCI progression. We propose a dense convolutional neural network architecture that differentiates stable and progressive MCI based on hippocampal morphometry with an accuracy of 75.85%. A novel implementation of occlusion analysis revealed marked differences in the contribution of hippocampal subfields to the performance of the model, with presubiculum, CA1, subiculum, and molecular layer showing the most central role. Moreover, the analysis reveals that 10.5% of the volume of the hippocampus was redundant in the differentiation between stable and progressive MCI.
Identifiants
pubmed: 34322704
pii: 6329418
doi: 10.1093/cercor/bhab223
pmc: PMC8805839
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
467-478Subventions
Organisme : NIA NIH HHS
ID : R01 AG062590
Pays : United States
Organisme : Department of Defense
ID : W81XWH-12-2-0012
Organisme : NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIH HHS
ID : U01 AG024904
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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