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Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus

OBJECTIVE: This work investigates network organisation of brain structural connectivity in systemic lupus erythematosus (SLE) relative to healthy controls and its putative association with lesion distribution and disease indicators. METHODS: White matter hyperintensity (WMH) segmentation and connect...

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Autores principales: Valdés Hernández, Maria del C, Smith, Keith, Bastin, Mark E, Nicole Amft, E., Ralston, Stuart H, Wardlaw, Joanna M, Wiseman, Stewart J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854491/
https://www.ncbi.nlm.nih.gov/pubmed/33307988
http://dx.doi.org/10.1177/0961203320979045
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author Valdés Hernández, Maria del C
Smith, Keith
Bastin, Mark E
Nicole Amft, E.
Ralston, Stuart H
Wardlaw, Joanna M
Wiseman, Stewart J
author_facet Valdés Hernández, Maria del C
Smith, Keith
Bastin, Mark E
Nicole Amft, E.
Ralston, Stuart H
Wardlaw, Joanna M
Wiseman, Stewart J
author_sort Valdés Hernández, Maria del C
collection PubMed
description OBJECTIVE: This work investigates network organisation of brain structural connectivity in systemic lupus erythematosus (SLE) relative to healthy controls and its putative association with lesion distribution and disease indicators. METHODS: White matter hyperintensity (WMH) segmentation and connectomics were performed in 47 patients with SLE and 47 healthy age-matched controls from structural and diffusion MRI data. Network nodes were divided into hierarchical tiers based on numbers of connections. Results were compared between patients and controls to assess for differences in brain network organisation. Voxel-based analyses of the spatial distribution of WMH in relation to network measures and SLE disease indicators were conducted. RESULTS: Despite inter-individual differences in brain network organization observed across the study sample, the connectome networks of SLE patients had larger proportion of connections in the peripheral nodes. SLE patients had statistically larger numbers of links in their networks with generally larger fractional anisotropy weights (i.e. a measure of white matter integrity) and less tendency to aggregate than those of healthy controls. The voxels exhibiting connectomic differences were coincident with WMH clusters, particularly the left hemisphere’s intersection between the anterior limb of the internal and external capsules. Moreover, these voxels also associated more strongly with disease indicators. CONCLUSION: Our results indicate network differences reflective of compensatory reorganization of the neural circuits, reflecting adaptive or extended neuroplasticity in SLE.
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spelling pubmed-78544912021-02-03 Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus Valdés Hernández, Maria del C Smith, Keith Bastin, Mark E Nicole Amft, E. Ralston, Stuart H Wardlaw, Joanna M Wiseman, Stewart J Lupus Papers OBJECTIVE: This work investigates network organisation of brain structural connectivity in systemic lupus erythematosus (SLE) relative to healthy controls and its putative association with lesion distribution and disease indicators. METHODS: White matter hyperintensity (WMH) segmentation and connectomics were performed in 47 patients with SLE and 47 healthy age-matched controls from structural and diffusion MRI data. Network nodes were divided into hierarchical tiers based on numbers of connections. Results were compared between patients and controls to assess for differences in brain network organisation. Voxel-based analyses of the spatial distribution of WMH in relation to network measures and SLE disease indicators were conducted. RESULTS: Despite inter-individual differences in brain network organization observed across the study sample, the connectome networks of SLE patients had larger proportion of connections in the peripheral nodes. SLE patients had statistically larger numbers of links in their networks with generally larger fractional anisotropy weights (i.e. a measure of white matter integrity) and less tendency to aggregate than those of healthy controls. The voxels exhibiting connectomic differences were coincident with WMH clusters, particularly the left hemisphere’s intersection between the anterior limb of the internal and external capsules. Moreover, these voxels also associated more strongly with disease indicators. CONCLUSION: Our results indicate network differences reflective of compensatory reorganization of the neural circuits, reflecting adaptive or extended neuroplasticity in SLE. SAGE Publications 2020-12-13 2021-02 /pmc/articles/PMC7854491/ /pubmed/33307988 http://dx.doi.org/10.1177/0961203320979045 Text en © The Author(s) 2020 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 Papers
Valdés Hernández, Maria del C
Smith, Keith
Bastin, Mark E
Nicole Amft, E.
Ralston, Stuart H
Wardlaw, Joanna M
Wiseman, Stewart J
Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title_full Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title_fullStr Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title_full_unstemmed Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title_short Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
title_sort brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854491/
https://www.ncbi.nlm.nih.gov/pubmed/33307988
http://dx.doi.org/10.1177/0961203320979045
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