A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer’s disease

A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer’s disease

Abstract Background The three core pathologies of Alzheimer’s disease (AD) are amyloid pathology, tau pathology, and neurodegeneration. Biomarkers exist for each. Neurodegeneration is often detected by neuroimaging, and we hypothesized that a voxel-based deep learning approach using structural MRI m...

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Bibliographic Details
Main Authors: Xinyang Feng, Frank A. Provenzano, Scott A. Small, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Alzheimer’s Research & Therapy
Subjects:
Neuroimaging
Prodromal Alzheimer’s disease
Biomarkers
Deep learning
Online Access:https://doi.org/10.1186/s13195-022-00985-x

Internet

https://doi.org/10.1186/s13195-022-00985-x

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