학술논문

Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms
Document Type
article
Source
Frontiers in Aging Neuroscience, Vol 15 (2023)
Subject
resting-state eyes closed electroencephalographic (rseeg) rhythms
alzheimer’s disease with dementia (add)
interdependencies of rseeg rhythms
linear lagged connectivity
graph theory
hub topology
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Language
English
ISSN
1663-4365
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 (