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Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms

Authors :
Susanna Lopez
Claudio Del Percio
Roberta Lizio
Giuseppe Noce
Alessandro Padovani
Flavio Nobili
Dario Arnaldi
Francesco Famà
Davide V. Moretti
Annachiara Cagnin
Giacomo Koch
Alberto Benussi
Marco Onofrj
Barbara Borroni
Andrea Soricelli
Raffaele Ferri
Carla Buttinelli
Franco Giubilei
Bahar Güntekin
Görsev Yener
Fabrizio Stocchi
Laura Vacca
Laura Bonanni
Claudio Babiloni
Source :
Frontiers in Aging Neuroscience, Vol 15 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionGraph theory models a network by its nodes (the fundamental unit by which graphs are formed) and connections. ‘Degree’ hubs reflect node centrality (the connection rate), while ‘connector’ hubs are those linked to several clusters of nodes (mainly long-range connections).MethodsHere, we compared hubs modeled from measures of interdependencies of between-electrode resting-state eyes-closed electroencephalography (rsEEG) rhythms in normal elderly (Nold) and Alzheimer’s disease dementia (ADD) participants. At least 5 min of rsEEG was recorded and analyzed. As ADD is considered a ‘network disease’ and is typically associated with abnormal rsEEG delta (

Details

Language :
English
ISSN :
16634365
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.7a2b4c98ddf14d42937b24a83d556693
Document Type :
article
Full Text :
https://doi.org/10.3389/fnagi.2023.780014