Browsing by Author "Musat, Andreea M."

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    What a Single Electroencephalographic (eeg) Channel Can Tell Us About Patients With Dementia Due To Alzheimer's Disease
    (Elsevier, 2022) Del Percio, Claudio; Noce, Giuseppe; Lopez, Susanna; Tucci, Federico; Carlin, Graziano; Lizio, Roberta; Musat, Andreea M.; Yener, Görsev
    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.