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: Cassani, R. (Author), Cecchi, M. (Author), Fadem, K.C (Author), Falk, T.H (Author), Jesus, B., Jr (Author), McGeown, W.J (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
AD severity
aged
Alzheimer disease
Alzheimer's disease
Article
brain size
clinical feature
disease severity
electroencephalogram
electroencephalography
female
human
image processing
image segmentation
learning algorithm
magnetic resonance imaging
major clinical study
male
Mini Mental State Examination
multimodal prediction
nuclear magnetic resonance imaging
prediction
risk factor
white matter
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