Del Percio, ClaudioNoce, GiuseppeLopez, SusannaTucci, FedericoCarlin, GrazianoLizio, RobertaMusat, Andreea M.Yener, Görsev2023-06-162023-06-1620220167-87601872-7697https://doi.org/10.1016/j.ijpsycho.2022.10.011https://hdl.handle.net/20.500.14365/1260Abnormalities 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.eninfo:eu-repo/semantics/closedAccessResting state electroencephalographic (rsEEG)rhythmsDementia due to Alzheimer's disease (ADD)Bipolar rsEEG spectral power densityClassificationTelemonitoring and preventionMild Cognitive ImpairmentNeural Synchronization MechanismsCortical SourcesAlpha-RhythmsAbnormalitiesOscillationsSeniorsPowerArticle10.1016/j.ijpsycho.2022.10.0112-s2.0-85140882971