Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI

Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI

While several biomarkers have been developed for the detection of Alzheimer's disease (AD), not many are available for the prediction of disease severity, particularly for patients in the mild stages of AD. In this paper, we explore the multimodal prediction of Mini-Mental State Examination (MM...

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Bibliographic Details
Main Authors: Belmir Jesus, Raymundo Cassani, William J. McGeown, Marco Cecchi, K. C. Fadem, Tiago H. Falk
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Human Neuroscience
Subjects:
Alzheimer's disease
electroencephalography
magnetic resonance imaging
AD severity
multimodal prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.700627/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.700627/full

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