What a Single Electroencephalographic (eeg) Channel Can Tell Us About Patients With Dementia Due To Alzheimer's Disease
| dc.contributor.author | Del Percio, Claudio | |
| dc.contributor.author | Noce, Giuseppe | |
| dc.contributor.author | Lopez, Susanna | |
| dc.contributor.author | Tucci, Federico | |
| dc.contributor.author | Carlin, Graziano | |
| dc.contributor.author | Lizio, Roberta | |
| dc.contributor.author | Musat, Andreea M. | |
| dc.contributor.author | Yener, Görsev | |
| dc.date.accessioned | 2023-06-16T12:59:38Z | |
| dc.date.available | 2023-06-16T12:59:38Z | |
| dc.date.issued | 2022 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | funds of Ricerca Corrente 2021-2022; [2021-2022?] | en_US |
| dc.description.sponsorship | The present study was developed based on the data of an Italian-Turkish network part of the PDWAVES Consortium ( www.pdwaves. eu) . The members and institutional affiliations of the Clinical Units are reported on the cover page of this manuscript. In this study, the electroencephalographic data analysis was partially supported by the funds of Ricerca Corrente 2021-2022 attributed by the Ministry of Health, Italy to the IRCCS Synlab SDN of Naples, IRCCS OASI Maria SS of Troina, IRCCS San Giovanni di Dio Fatebenefratelli of Brescia, and IRCCS San Raffaele Rome. | en_US |
| dc.identifier.doi | 10.1016/j.ijpsycho.2022.10.011 | |
| dc.identifier.issn | 0167-8760 | |
| dc.identifier.issn | 1872-7697 | |
| dc.identifier.scopus | 2-s2.0-85140882971 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ijpsycho.2022.10.011 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/1260 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.ispartof | Internatıonal Journal of Psychophysıology | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Resting state electroencephalographic (rsEEG) | en_US |
| dc.subject | rhythms | en_US |
| dc.subject | Dementia due to Alzheimer's disease (ADD) | en_US |
| dc.subject | Bipolar rsEEG spectral power density | en_US |
| dc.subject | Classification | en_US |
| dc.subject | Telemonitoring and prevention | en_US |
| dc.subject | Mild Cognitive Impairment | en_US |
| dc.subject | Neural Synchronization Mechanisms | en_US |
| dc.subject | Cortical Sources | en_US |
| dc.subject | Alpha-Rhythms | en_US |
| dc.subject | Abnormalities | en_US |
| dc.subject | Oscillations | en_US |
| dc.subject | Seniors | en_US |
| dc.subject | Power | en_US |
| dc.title | What a Single Electroencephalographic (eeg) Channel Can Tell Us About Patients With Dementia Due To Alzheimer's Disease | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Yener, Gorsev/0000-0002-7756-4387 | |
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| gdc.author.wosid | Yener, Gorsev/B-5142-2018 | |
| gdc.author.wosid | Lopez, Susanna/AAB-9716-2019 | |
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| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | [Del Percio, Claudio; Lopez, Susanna; Tucci, Federico; Carlin, Graziano; Lizio, Roberta; Musat, Andreea M.; Babiloni, Claudio] Sapienza Univ Rome, Dept Physiol & Pharmacol Vittorio Erspamer, Rome, Italy; [Noce, Giuseppe; Soricelli, Andrea; Salvatore, Marco] IRCCS Synlab SDN, Naples, Italy; [Soricelli, Andrea] Univ Naples Parthenope, Dept Motor Sci & Healthiness, Naples, Italy; [Ferri, Raffaele] Oasi Res Inst, IRCCS, Troina, Italy; [Nobili, Flavio; Arnaldi, Dario] Osped Policlin San Martino, Clin Neurol, IRCCS, Genoa, Italy; [Nobili, Flavio; Arnaldi, Dario; Fama, Francesco] Univ Genoa, Dipartimento Neurosci Oftalmol Genet Riabilitaz &, Genoa, Italy; [Buttinelli, Carla; Giubilei, Franco] Sapienza Univ Rome, Dept Neurosci Mental Hlth & Sensory Organs, Rome, Italy; [Marizzoni, Moira] Ist Ctr San Giovanni Dio Fatebenefratelli, Lab Alzheimers Neuroimaging & Epidemiol, IRCCS, Brescia, Italy; [Guntekin, Bahar] Istanbul Medipol Univ, Sch Med, Dept Biophys, Istanbul, Turkey; [Guntekin, Bahar] Istanbul Medipol Univ, Res Inst Hlth Sci & Technol SABITA, Istanbul, Turkey; [Yener, Gorsev] Izmir Univ Econ, Fac Med, Izmir, Turkey; [Stocchi, Fabrizio; Vacca, Laura] IRCCS San Raffaele, Rome, Italy; [Stocchi, Fabrizio] Telemat Univ San Raffaele, Rome, Italy; [Frisoni, Giovanni B.] Univ Hosp & Univ Geneva, Memory Clin, Geneva, Switzerland; [Frisoni, | en_US |
| gdc.description.endpage | 181 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 169 | en_US |
| gdc.description.volume | 182 | en_US |
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| gdc.oaire.keywords | Cerebral Cortex | |
| gdc.oaire.keywords | Rest | |
| gdc.oaire.keywords | Wakefulness / physiology | |
| gdc.oaire.keywords | Telemonitoring and prevention | |
| gdc.oaire.keywords | Electroencephalography | |
| gdc.oaire.keywords | bipolar rseeg spectral power density; classification; dementia due to alzheimer's disease (add); resting state electroencephalographic (rseeg) rhythms; telemonitoring and prevention | |
| gdc.oaire.keywords | Classification | |
| gdc.oaire.keywords | Bipolar rsEEG spectral power density; Classification; Dementia due to Alzheimer's disease (ADD); Resting state electroencephalographic (rsEEG) rhythms; Telemonitoring and prevention | |
| gdc.oaire.keywords | Rest / physiology | |
| gdc.oaire.keywords | Resting state electroencephalographic (rsEEG) rhythms | |
| gdc.oaire.keywords | 618.97 | |
| gdc.oaire.keywords | Bipolar rsEEG Spectral Power Density | |
| gdc.oaire.keywords | Bipolar rsEEG spectral power density | |
| gdc.oaire.keywords | Resting State Electroencephalographic (rsEEG) Rhythms | |
| gdc.oaire.keywords | Alzheimer Disease | |
| gdc.oaire.keywords | Telemonitoring and Prevention | |
| gdc.oaire.keywords | Dementia due to Alzheimer's disease (ADD) | |
| gdc.oaire.keywords | Humans | |
| gdc.oaire.keywords | Wakefulness | |
| gdc.oaire.keywords | Dementia Due to Alzheimer's Disease (ADD) | |
| gdc.oaire.keywords | Cerebral Cortex / physiology | |
| gdc.oaire.keywords | Aged | |
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