A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease
Inglese et al. develop a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted magnetic resonance imaging scans. Their model reliably discriminates people with Alzheimer’s disease-related pathologies from those without.
Main Authors: | Marianna Inglese, Neva Patel, Kristofer Linton-Reid, Flavia Loreto, Zarni Win, Richard J. Perry, Christopher Carswell, Matthew Grech-Sollars, William R. Crum, Haonan Lu, Paresh A. Malhotra, the Alzheimer’s Disease Neuroimaging Initiative, Eric O. Aboagye |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
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Series: | Communications Medicine |
Online Access: | https://doi.org/10.1038/s43856-022-00133-4 |
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