Author:
Lopez Susanna,Del Percio Claudio,Lizio Roberta,Noce Giuseppe,Padovani Alessandro,Nobili Flavio,Arnaldi Dario,Famà Francesco,Moretti Davide V.,Cagnin Annachiara,Koch Giacomo,Benussi Alberto,Onofrj Marco,Borroni Barbara,Soricelli Andrea,Ferri Raffaele,Buttinelli Carla,Giubilei Franco,Güntekin Bahar,Yener Görsev,Stocchi Fabrizio,Vacca Laura,Bonanni Laura,Babiloni Claudio
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 (<4 Hz) and alpha rhythms (8–12 Hz) over associative posterior areas, we tested the hypothesis of abnormal posterior hubs from measures of interdependencies of rsEEG rhythms from delta to gamma bands (2–40 Hz) using eLORETA bivariate and multivariate-directional techniques in ADD participants versus Nold participants. Three different definitions of ‘connector’ hub were used.ResultsConvergent results showed that in both the Nold and ADD groups there were significant parietal ‘degree’ and ‘connector’ hubs derived from alpha rhythms. These hubs had a prominent outward ‘directionality’ in the two groups, but that ‘directionality’ was lower in ADD participants than in Nold participants.DiscussionIn conclusion, independent methodologies and hub definitions suggest that ADD patients may be characterized by low outward ‘directionality’ of partially preserved parietal ‘degree’ and ‘connector’ hubs derived from rsEEG alpha rhythms.
Subject
Cognitive Neuroscience,Aging