Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.

<h4>Background</h4>Cognitive dysfunction in multiple sclerosis (MS) is frequent. Insight into underlying mechanisms would help to develop therapeutic strategies.<h4>Objective</h4>To explore the relationship of cognitive performance to patterns of nodal centrality derived from...

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Autores principales:	Martin Hardmeier, Menno M Schoonheim, Jeroen J G Geurts, Arjan Hillebrand, Chris H Polman, Frederik Barkhof, Cornelis J Stam
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/999789c63f1e4013a8494d2a00e02e09
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spelling	oai:doaj.org-article:999789c63f1e4013a8494d2a00e02e092021-11-18T07:10:36ZCognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.1932-620310.1371/journal.pone.0042087https://doaj.org/article/999789c63f1e4013a8494d2a00e02e092012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22848712/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Cognitive dysfunction in multiple sclerosis (MS) is frequent. Insight into underlying mechanisms would help to develop therapeutic strategies.<h4>Objective</h4>To explore the relationship of cognitive performance to patterns of nodal centrality derived from magneto-encephalography (MEG).<h4>Methods</h4>34 early relapsing-remitting MS patients (median EDSS 2.0) and 28 age- and gender-matched healthy controls (HC) had a MEG, a neuropsychological assessment and structural MRI. Resting-state functional connectivity was determined by the synchronization likelihood. Eigenvector Centrality (EC) was used to quantify for each sensor its connectivity and importance within the network. A cognition-score was calculated, and normalized grey and white matter volumes were determined. EC was compared per sensor and frequency band between groups using permutation testing, and related to cognition.<h4>Results</h4>Patients had lower grey and white matter volumes than HC, male patients lower cognitive performance than female patients. In HC, EC distribution showed highest nodal centrality over bi-parietal sensors ("hubs"). In patients, nodal centrality was even higher bi-parietally (theta-band) but markedly lower left temporally (upper alpha- and beta-band). Lower cognitive performance correlated to decreased nodal centrality over left temporal (lower alpha-band) and right temporal (beta-band) sensors, and to increased nodal centrality over right parieto-temporal sensors (beta-band). Network changes were most pronounced in male patients.<h4>Conclusions</h4>Partial functional disconnection of the temporal regions was associated with cognitive dysfunction in MS; increased centrality in parietal hubs may reflect a shift from temporal to possibly less efficient parietal processing. To better understand patterns and dynamics of these network changes, longitudinal studies are warranted, also addressing the influence of gender.Martin HardmeierMenno M SchoonheimJeroen J G GeurtsArjan HillebrandChris H PolmanFrederik BarkhofCornelis J StamPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e42087 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Martin Hardmeier Menno M Schoonheim Jeroen J G Geurts Arjan Hillebrand Chris H Polman Frederik Barkhof Cornelis J Stam Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
description	<h4>Background</h4>Cognitive dysfunction in multiple sclerosis (MS) is frequent. Insight into underlying mechanisms would help to develop therapeutic strategies.<h4>Objective</h4>To explore the relationship of cognitive performance to patterns of nodal centrality derived from magneto-encephalography (MEG).<h4>Methods</h4>34 early relapsing-remitting MS patients (median EDSS 2.0) and 28 age- and gender-matched healthy controls (HC) had a MEG, a neuropsychological assessment and structural MRI. Resting-state functional connectivity was determined by the synchronization likelihood. Eigenvector Centrality (EC) was used to quantify for each sensor its connectivity and importance within the network. A cognition-score was calculated, and normalized grey and white matter volumes were determined. EC was compared per sensor and frequency band between groups using permutation testing, and related to cognition.<h4>Results</h4>Patients had lower grey and white matter volumes than HC, male patients lower cognitive performance than female patients. In HC, EC distribution showed highest nodal centrality over bi-parietal sensors ("hubs"). In patients, nodal centrality was even higher bi-parietally (theta-band) but markedly lower left temporally (upper alpha- and beta-band). Lower cognitive performance correlated to decreased nodal centrality over left temporal (lower alpha-band) and right temporal (beta-band) sensors, and to increased nodal centrality over right parieto-temporal sensors (beta-band). Network changes were most pronounced in male patients.<h4>Conclusions</h4>Partial functional disconnection of the temporal regions was associated with cognitive dysfunction in MS; increased centrality in parietal hubs may reflect a shift from temporal to possibly less efficient parietal processing. To better understand patterns and dynamics of these network changes, longitudinal studies are warranted, also addressing the influence of gender.
format	article
author	Martin Hardmeier Menno M Schoonheim Jeroen J G Geurts Arjan Hillebrand Chris H Polman Frederik Barkhof Cornelis J Stam
author_facet	Martin Hardmeier Menno M Schoonheim Jeroen J G Geurts Arjan Hillebrand Chris H Polman Frederik Barkhof Cornelis J Stam
author_sort	Martin Hardmeier
title	Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
title_short	Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
title_full	Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
title_fullStr	Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
title_full_unstemmed	Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
title_sort	cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/999789c63f1e4013a8494d2a00e02e09
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Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.

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