作者
Susanna Lopez, Claudio Del Percio, Roberta Lizio, Giuseppe Noce, Alessandro Padovani, Flavio Mariano Nobili, Dario Arnaldi, Francesco Famà, Davide Moretti, Andrea Soricelli, Raffaele Ferri, Carla Buttinelli, Franco Giubilei, Bahar Güntekin, Görsev Yener, Fabrizio Stocchi, Laura Vacca, Laura Bonanni, Claudio Babiloni
发表日期
2023/6
期刊
Alzheimer's & Dementia
卷号
19
页码范围
e063628
简介
Background
Graph theory models a network by its nodes and connections. “Degree” hubs reflect node centrality, while “connector” hubs are those linked to several clusters of nodes. Here we compared hubs modelled from measures of interdependencies of between‐electrode resting‐state eyes‐closed electroencephalography (rsEEG) rhythms in normal old (Nold) and Alzheimer’s disease dementia (ADD) participants. As ADD is considered as a “network disease” and is typically associated with abnormal rsEEG delta (< 4 Hz) and alpha rhythms (8‐12 Hz) over associative posterior areas, we predicted abnormal posterior hubs from measures of interdependencies of those rhythms in ADD as compared to Nold participants.
Method
To report robust results, we measured interdependencies of rsEEG rhythms from delta to gamma bands (2‐40 Hz) by both bivariate linear lagged connectivity and multivariate …
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S Lopez, CD Percio, R Lizio, G Noce, A Padovani… - Alzheimer's & Dementia, 2023