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Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study

BACKGROUND: EEG studies have shown that patients with Alzheimer’s disease (AD) have weaker functional connectivity than controls, especially in higher frequency bands. Furthermore, active regions seem more prone to AD pathology. How functional connectivity is affected in AD subgroups of disease seve...

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Autores principales: Engels, Marjolein MA, Stam, Cornelis J., van der Flier, Wiesje M., Scheltens, Philip, de Waal, Hanneke, van Straaten, Elisabeth CW
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545875/
https://www.ncbi.nlm.nih.gov/pubmed/26289045
http://dx.doi.org/10.1186/s12883-015-0400-7
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author Engels, Marjolein MA
Stam, Cornelis J.
van der Flier, Wiesje M.
Scheltens, Philip
de Waal, Hanneke
van Straaten, Elisabeth CW
author_facet Engels, Marjolein MA
Stam, Cornelis J.
van der Flier, Wiesje M.
Scheltens, Philip
de Waal, Hanneke
van Straaten, Elisabeth CW
author_sort Engels, Marjolein MA
collection PubMed
description BACKGROUND: EEG studies have shown that patients with Alzheimer’s disease (AD) have weaker functional connectivity than controls, especially in higher frequency bands. Furthermore, active regions seem more prone to AD pathology. How functional connectivity is affected in AD subgroups of disease severity and how network hubs (highly connected brain areas) change is not known. We compared AD patients with different disease severity and controls in terms of functional connections, hub strength and hub location. METHODS: We studied routine 21-channel resting-state electroencephalography (EEG) of 318 AD patients (divided into tertiles based on disease severity: mild, moderate and severe AD) and 133 age-matched controls. Functional connectivity between EEG channels was estimated with the Phase Lag Index (PLI). From the PLI-based connectivity matrix, the minimum spanning tree (MST) was derived. For each node (EEG channel) in the MST, the betweenness centrality (BC) was computed, a measure to quantify the relative importance of a node within the network. Then we derived color-coded head plots based on BC values and calculated the center of mass (the exact middle had x and y values of 0). A shifting of the hub locations was defined as a shift of the center of mass on the y-axis across groups. Multivariate general linear models with PLI or BC values as dependent variables and the groups as continuous variables were used in the five conventional frequency bands. RESULTS: We found that functional connectivity decreases with increasing disease severity in the alpha band. All, except for posterior, regions showed increasing BC values with increasing disease severity. The center of mass shifted from posterior to more anterior regions with increasing disease severity in the higher frequency bands, indicating a loss of relative functional importance of the posterior brain regions. CONCLUSIONS: In conclusion, we observed decreasing functional connectivity in the posterior regions, together with a shifted hub location from posterior to central regions with increasing AD severity. Relative hub strength decreases in posterior regions while other regions show a relative rise with increasing AD severity, which is in accordance with the activity-dependent degeneration theory. Our results indicate that hubs are disproportionally affected in AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-015-0400-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-45458752015-08-23 Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study Engels, Marjolein MA Stam, Cornelis J. van der Flier, Wiesje M. Scheltens, Philip de Waal, Hanneke van Straaten, Elisabeth CW BMC Neurol Research Article BACKGROUND: EEG studies have shown that patients with Alzheimer’s disease (AD) have weaker functional connectivity than controls, especially in higher frequency bands. Furthermore, active regions seem more prone to AD pathology. How functional connectivity is affected in AD subgroups of disease severity and how network hubs (highly connected brain areas) change is not known. We compared AD patients with different disease severity and controls in terms of functional connections, hub strength and hub location. METHODS: We studied routine 21-channel resting-state electroencephalography (EEG) of 318 AD patients (divided into tertiles based on disease severity: mild, moderate and severe AD) and 133 age-matched controls. Functional connectivity between EEG channels was estimated with the Phase Lag Index (PLI). From the PLI-based connectivity matrix, the minimum spanning tree (MST) was derived. For each node (EEG channel) in the MST, the betweenness centrality (BC) was computed, a measure to quantify the relative importance of a node within the network. Then we derived color-coded head plots based on BC values and calculated the center of mass (the exact middle had x and y values of 0). A shifting of the hub locations was defined as a shift of the center of mass on the y-axis across groups. Multivariate general linear models with PLI or BC values as dependent variables and the groups as continuous variables were used in the five conventional frequency bands. RESULTS: We found that functional connectivity decreases with increasing disease severity in the alpha band. All, except for posterior, regions showed increasing BC values with increasing disease severity. The center of mass shifted from posterior to more anterior regions with increasing disease severity in the higher frequency bands, indicating a loss of relative functional importance of the posterior brain regions. CONCLUSIONS: In conclusion, we observed decreasing functional connectivity in the posterior regions, together with a shifted hub location from posterior to central regions with increasing AD severity. Relative hub strength decreases in posterior regions while other regions show a relative rise with increasing AD severity, which is in accordance with the activity-dependent degeneration theory. Our results indicate that hubs are disproportionally affected in AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-015-0400-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-20 /pmc/articles/PMC4545875/ /pubmed/26289045 http://dx.doi.org/10.1186/s12883-015-0400-7 Text en © Engels et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Engels, Marjolein MA
Stam, Cornelis J.
van der Flier, Wiesje M.
Scheltens, Philip
de Waal, Hanneke
van Straaten, Elisabeth CW
Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title_full Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title_fullStr Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title_full_unstemmed Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title_short Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
title_sort declining functional connectivity and changing hub locations in alzheimer’s disease: an eeg study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545875/
https://www.ncbi.nlm.nih.gov/pubmed/26289045
http://dx.doi.org/10.1186/s12883-015-0400-7
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