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Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms
INTRODUCTION: Graph 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). METHODS: Here...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908964/ https://www.ncbi.nlm.nih.gov/pubmed/36776437 http://dx.doi.org/10.3389/fnagi.2023.780014 |
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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 |
author_facet | 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 |
author_sort | Lopez, Susanna |
collection | PubMed |
description | INTRODUCTION: Graph 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). METHODS: Here, 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. RESULTS: Convergent 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. DISCUSSION: In 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. |
format | Online Article Text |
id | pubmed-9908964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99089642023-02-10 Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms 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 Front Aging Neurosci Aging Neuroscience INTRODUCTION: Graph 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). METHODS: Here, 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. RESULTS: Convergent 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. DISCUSSION: In 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. Frontiers Media S.A. 2023-01-26 /pmc/articles/PMC9908964/ /pubmed/36776437 http://dx.doi.org/10.3389/fnagi.2023.780014 Text en Copyright © 2023 Lopez, Del Percio, Lizio, Noce, Padovani, Nobili, Arnaldi, Famà, Moretti, Cagnin, Koch, Benussi, Onofrj, Borroni, Soricelli, Ferri, Buttinelli, Giubilei, Güntekin, Yener, Stocchi, Vacca, Bonanni and Babiloni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience 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 Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title | Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title_full | Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title_fullStr | Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title_full_unstemmed | Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title_short | Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
title_sort | patients with alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908964/ https://www.ncbi.nlm.nih.gov/pubmed/36776437 http://dx.doi.org/10.3389/fnagi.2023.780014 |
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