Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1260
Title: What a single electroencephalographic (EEG) channel can tell us about patients with dementia due to Alzheimer's disease
Authors: Del Percio, Claudio
Noce, Giuseppe
Lopez, Susanna
Tucci, Federico
Carlin, Graziano
Lizio, Roberta
Musat, Andreea M.
Yener, Görsev
Keywords: Resting state electroencephalographic (rsEEG)
rhythms
Dementia due to Alzheimer's disease (ADD)
Bipolar rsEEG spectral power density
Classification
Telemonitoring and prevention
Mild Cognitive Impairment
Neural Synchronization Mechanisms
Cortical Sources
Alpha-Rhythms
Abnormalities
Oscillations
Seniors
Power
Publisher: Elsevier
Abstract: Abnormalities in cortical sources of resting-state eyes-closed electroencephalographic (rsEEG) rhythms recorded by hospital settings (10-20 electrode montage) with 19 scalp electrodes provide useful markers of neurophysi-ological dysfunctions in the vigilance regulation in patients with Alzheimer's disease dementia (ADD). Here we tested whether these markers may be effective from a few scalp electrodes towards the use of low-cost recording devices. Clinical and rsEEG data acquired in hospital settings (10-20 electrode montage) from 88 ADD participants and 68 age-, education-, and sex-matched normal elderly controls (Nold) were available in an international Eurasian database. Standard spectral FFT analysis of rsEEG data for individual delta, theta, and alpha frequency bands was from C3-P3, C4-P4, P3-O1, and P4-O2 bipolar channels. As compared to the Nold group, the ADD group showed increased delta, theta, low-frequency alpha power density and decreased high-frequency alpha power density at all those bipolar channels. The highest classifi-cation accuracy between the ADD and Nold individuals reached 90 % (area under the receiver operating characteristic curve) using Alpha2/Theta power density computed at the C3-P3 bipolar channel. Standard rsEEG power density computed from a few posterior bipolar channels successfully classified Nold and ADD individuals, thus encouraging a massive prescreening of neurophysiological mechanisms underpinning the vigilance dysregulation in underserved old seniors.
URI: https://doi.org/10.1016/j.ijpsycho.2022.10.011
https://hdl.handle.net/20.500.14365/1260
ISSN: 0167-8760
1872-7697
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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