Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/1129
Title: | Resting-state EEG alpha/theta power ratio discriminates early-onset Alzheimer's disease from healthy controls | Authors: | Ozbek, Yagmur Fide, Ezgi Yener, Görsev |
Keywords: | Resting-state EEG Early-onset AD Late-onset AD FFT Alpha/theta ratio Power Mild Cognitive Impairment Cerebrospinal-Fluid Biomarkers Subjective Memory Complaints Functional Connectivity Quantitative Eeg Hippocampal Atrophy Alpha-Rhythms Gray-Matter Metabolic Function Band Oscillations |
Publisher: | Elsevier Ireland Ltd | Abstract: | Objectives: The present study aims to compare early-onset Alzheimer's disease (EOAD) patients with healthy controls (HC), and late-onset Alzheimer's disease (LOAD) patients using resting-state delta, theta, alpha, and beta oscillations and provide a cut-off score of alpha/theta ratio to discriminate individuals with EOAD and young HC. Methods: Forty-seven individuals with EOAD, 51 individuals with LOAD, and demographically-matched 49 young and 51 older controls were included in the study. Spectral-power analysis using Fast-Fourier Transformation (FFT) is performed on resting-state electroencephalography (EEG) data. Delta, theta, alpha, and beta oscillations compared between groups and Receiver Operating Characteristic (ROC) curve analysis was conducted. Results: Compared to healthy controls individuals with EOAD showed an increase in slow frequency bands and a decrease in fast frequency bands. Frontal alpha/theta power ratio is the best discriminating value between EOAD and young HC with the sensitivity and specificity greater than 80% with area under the curve (AUC) 0.881. Conclusions: EOAD display more widespread and severe electrophysiological abnormalities than LOAD and HC which may reflect more pronounced pathological burden and cholinergic deficits in EOAD. Additionally, the alpha/theta ratio can discriminate EOAD and young HC successfully. Significance: This study is the first to report that resting-state EEG power can be a promising marker for diagnostic accuracy between EOAD and healthy controls. (C) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved. | URI: | https://doi.org/10.1016/j.clinph.2021.05.012 https://hdl.handle.net/20.500.14365/1129 |
ISSN: | 1388-2457 1872-8952 |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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