Published 2022
| Version v1
Publication
What a single electroencephalographic (EEG) channel can tell us about patients with dementia due to Alzheimer's disease
Creators
- Del Percio, Claudio
- Noce, Giuseppe
- Lopez, Susanna
- Tucci, Federico
- Carlin, Graziano
- Lizio, Roberta
- Musat, Andreea M
- Soricelli, Andrea
- Salvatore, Marco
- Ferri, Raffaele
- Nobili, Flavio
- Arnaldi, Dario
- Famà, Francesco
- Buttinelli, Carla
- Giubilei, Franco
- Marizzoni, Moira
- Güntekin, Bahar
- Yener, Görsev
- Stocchi, Fabrizio
- Vacca, Laura
- Frisoni, Giovanni B
- Babiloni, Claudio
Contributors
Others:
- Del Percio, Claudio
- Noce, Giuseppe
- Lopez, Susanna
- Tucci, Federico
- Carlin, Graziano
- Lizio, Roberta
- Musat, Andreea M
- Soricelli, Andrea
- Salvatore, Marco
- Ferri, Raffaele
- Nobili, Flavio
- Arnaldi, Dario
- Famà, Francesco
- Buttinelli, Carla
- Giubilei, Franco
- Marizzoni, Moira
- Güntekin, Bahar
- Yener, Görsev
- Stocchi, Fabrizio
- Vacca, Laura
- Frisoni, Giovanni B
- Babiloni, Claudio
Description
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.
Additional details
Identifiers
- URL
- https://hdl.handle.net/11567/1149784
- URN
- urn:oai:iris.unige.it:11567/1149784
Origin repository
- Origin repository
- UNIGE