We evaluated the value of resting-state EEG source biomarkers to characterize mild cognitive impairment (MCI) subjects with an Alzheimer's disease (AD)-like cerebrospinal fluid (CSF) profile and to track neurodegeneration throughout the AD continuum. We further applied a resting-state functional MRI (fMRI)-driven model of source reconstruction and tested its advantage in terms of AD diagnostic accuracy.

Resting-state electroencephalographic biomarkers of Alzheimer's disease / Cecchetti, Giordano; Agosta, Federica; Basaia, Silvia; Cividini, Camilla; Cursi, Marco; Santangelo, Roberto; Caso, Francesca; Minicucci, Fabio; Magnani, Giuseppe; Filippi, Massimo. - In: NEUROIMAGE. CLINICAL. - ISSN 2213-1582. - 31:(2021). [10.1016/j.nicl.2021.102711]

Resting-state electroencephalographic biomarkers of Alzheimer's disease

Cecchetti, Giordano;Agosta, Federica;Cividini, Camilla;Santangelo, Roberto;Filippi, Massimo
2021-01-01

Abstract

We evaluated the value of resting-state EEG source biomarkers to characterize mild cognitive impairment (MCI) subjects with an Alzheimer's disease (AD)-like cerebrospinal fluid (CSF) profile and to track neurodegeneration throughout the AD continuum. We further applied a resting-state functional MRI (fMRI)-driven model of source reconstruction and tested its advantage in terms of AD diagnostic accuracy.
2021
AD biomarkers
Alzheimer’s disease
EEG
Graph analysis
MRI
eLORETA
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/116692
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