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Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study

BACKGROUND: Brain functional connectivity (FC) in multiple sclerosis (MS) is abnormal compared to healthy controls (HCs). More longitudinal studies in MS are needed to evaluate whether FC stability is clinically relevant. OBJECTIVE: To compare functional magnetic resonance imaging (fMRI)-based FC be...

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Autores principales: Høgestøl, Einar August, Ghezzo, Samuele, Nygaard, Gro Owren, Espeseth, Thomas, Sowa, Piotr, Beyer, Mona K, Harbo, Hanne Flinstad, Westlye, Lars T, Hulst, Hanneke E, Alnæs, Dag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961247/
https://www.ncbi.nlm.nih.gov/pubmed/34259578
http://dx.doi.org/10.1177/13524585211030212
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author Høgestøl, Einar August
Ghezzo, Samuele
Nygaard, Gro Owren
Espeseth, Thomas
Sowa, Piotr
Beyer, Mona K
Harbo, Hanne Flinstad
Westlye, Lars T
Hulst, Hanneke E
Alnæs, Dag
author_facet Høgestøl, Einar August
Ghezzo, Samuele
Nygaard, Gro Owren
Espeseth, Thomas
Sowa, Piotr
Beyer, Mona K
Harbo, Hanne Flinstad
Westlye, Lars T
Hulst, Hanneke E
Alnæs, Dag
author_sort Høgestøl, Einar August
collection PubMed
description BACKGROUND: Brain functional connectivity (FC) in multiple sclerosis (MS) is abnormal compared to healthy controls (HCs). More longitudinal studies in MS are needed to evaluate whether FC stability is clinically relevant. OBJECTIVE: To compare functional magnetic resonance imaging (fMRI)-based FC between MS and HC, and to determine the relationship between longitudinal FC changes and structural brain damage, cognitive performance and physical disability. METHODS: T1-weighted MPRAGE and resting-state fMRI (1.5T) were acquired from 70 relapsing-remitting MS patients and 94 matched HC at baseline (mean months since diagnosis 14.0 ± 11) and from 60 MS patients after 5 years. Independent component analysis and network modelling were used to measure longitudinal FC stability and cross-sectional comparisons with HC. Linear mixed models, adjusted for age and sex, were used to calculate correlations. RESULTS: At baseline, patients with MS showed FC abnormalities both within networks and in single connections compared to HC. Longitudinal analyses revealed functional stability and no significant relationships with clinical disability, cognitive performance, lesion or brain volume. CONCLUSION: FC abnormalities occur already at the first decade of MS, yet we found no relevant clinical correlations for these network deviations. Future large-scale longitudinal fMRI studies across a range of MS subtypes and outcomes are required.
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spelling pubmed-89612472022-03-30 Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study Høgestøl, Einar August Ghezzo, Samuele Nygaard, Gro Owren Espeseth, Thomas Sowa, Piotr Beyer, Mona K Harbo, Hanne Flinstad Westlye, Lars T Hulst, Hanneke E Alnæs, Dag Mult Scler Original Research Papers BACKGROUND: Brain functional connectivity (FC) in multiple sclerosis (MS) is abnormal compared to healthy controls (HCs). More longitudinal studies in MS are needed to evaluate whether FC stability is clinically relevant. OBJECTIVE: To compare functional magnetic resonance imaging (fMRI)-based FC between MS and HC, and to determine the relationship between longitudinal FC changes and structural brain damage, cognitive performance and physical disability. METHODS: T1-weighted MPRAGE and resting-state fMRI (1.5T) were acquired from 70 relapsing-remitting MS patients and 94 matched HC at baseline (mean months since diagnosis 14.0 ± 11) and from 60 MS patients after 5 years. Independent component analysis and network modelling were used to measure longitudinal FC stability and cross-sectional comparisons with HC. Linear mixed models, adjusted for age and sex, were used to calculate correlations. RESULTS: At baseline, patients with MS showed FC abnormalities both within networks and in single connections compared to HC. Longitudinal analyses revealed functional stability and no significant relationships with clinical disability, cognitive performance, lesion or brain volume. CONCLUSION: FC abnormalities occur already at the first decade of MS, yet we found no relevant clinical correlations for these network deviations. Future large-scale longitudinal fMRI studies across a range of MS subtypes and outcomes are required. SAGE Publications 2021-07-14 2022-04 /pmc/articles/PMC8961247/ /pubmed/34259578 http://dx.doi.org/10.1177/13524585211030212 Text en © The Author(s), 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Papers
Høgestøl, Einar August
Ghezzo, Samuele
Nygaard, Gro Owren
Espeseth, Thomas
Sowa, Piotr
Beyer, Mona K
Harbo, Hanne Flinstad
Westlye, Lars T
Hulst, Hanneke E
Alnæs, Dag
Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title_full Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title_fullStr Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title_full_unstemmed Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title_short Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study
title_sort functional connectivity in multiple sclerosis modelled as connectome stability: a 5-year follow-up study
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961247/
https://www.ncbi.nlm.nih.gov/pubmed/34259578
http://dx.doi.org/10.1177/13524585211030212
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