KMID : 0389520210280020078
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Sleep Medicine.Psychophysiology 2021 Volume.28 No. 2 p.78 ~ p.85
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Quantitative Electroencephalogram Markers for Predicting Cerebral Amyloid Pathology in Non-Demented Older Individuals With Depression: A Preliminary Study
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Park Seon-Young
Chae Soo-Hyun Park Jin-Sick Lee Dong-Young Park Jee-Eun
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Abstract
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Objectives: When elderly patients show depressive symptoms, discrimination between depressive disorder and prodromal phase of Alzheimer¡¯s disease is important. We tested whether a quantitative electroencephalogram (qEEG) marker was associ- ated with cerebral amyloid-¥â (A¥â) deposition in older adults with depression.
Methods: Non-demented older individuals (¡Ã 55years) diagnosed with depression were included in the analyses (n = 63; 76.2% female; mean age ¡¾ standard deviation 73.7 ¡¾ 6.87 years). The participants were divided into A¥â+ (n = 32) and A¥â- (n = 31) groups based on amyloid PET assessment. EEG was recorded during the 7min eye-closed (EC) phase and 3min eye-open (EO) phase, and all EEG data were analyzed using Fourier transform spectral analysis. We tested interaction effects among A¥â posi- tivity, condition (EC vs. EO), laterality (left, midline, or right), and polarity (frontal, central, or posterior) for EEG alpha band power. Then, the EC-to-EO alpha reactivity index (ARI) was examined as a neurophysiological marker for predicting A¥â+ in depressed older adults.
Results: The mean power spectral density of the alpha band in EO phase showed a significant difference between the A¥â+ and A¥â- groups (F = 6.258, p = 0.015). A significant 3-way interaction was observed among A¥â positivity, condition, and laterality on alpha-band power after adjusting for age, sex, educational years, global cognitive function, medication use, and white matter hyperintensities on MRI (F = 3.720, p = 0.030). However, post-hoc analyses showed no significant difference in ARI according to A¥â status in any regions of interest.
Conclusion: Among older adults with depression, increased power in EO phase alpha band was associated with A¥â positivity. However, EC-to-EO ARI was not confirmed as a predictor for A¥â+ in depressed older individuals. Future studies with larger samples are needed to confirm our results.
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KEYWORD
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Aged, Alzheimer¡¯s disease, Depression, Electroencephalography
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