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.
Bibliographic Details
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 |
Format: | Article
|
Language: | English |
Published: |
Nature Portfolio
2022-06-01
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Series: | Communications Medicine
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Online Access: | https://doi.org/10.1038/s43856-022-00133-4
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