Evidence map›Paper›PMID 33307988›Full record

ArticleLupus2021

Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus.

Maria Del C Valdés Hernández, Keith Smith, Mark E Bastin, E Nicole Amft, Stuart H Ralston, Joanna M Wardlaw, Stewart J Wiseman

Abstract read
In one paragraph

Article in Lupus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Classification of systemic lupus erythematosus resting-state functional magnetic resonance imaging data based on the end-to-end model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maria Del C Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Keith SmithUsher Institute for Population Health Science and Informatics, University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
E Nicole AmftUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Stuart H RalstonCentre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK.
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Stewart J WisemanCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0001-6739-5797

Funding

MRI+DTI-Based Tools for Analyzing White Matter VariationR01EB004155 · NIBIB · BROWN UNIVERSITY · PI LAIDLAW, DAVID H · 2005 to 2008
$2.0M
Medical Research Council G0400069Medical Research Council MR/S004122/1NIBIB NIH HHS R01 EB004155The Dunhill Medical Trust R380R/1114
6 · The paper itself

Abstract

objectiveThis 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.

methodsWhite 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.

resultsDespite 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.

conclusionOur results indicate network differences reflective of compensatory reorganization of the neural circuits, reflecting adaptive or extended neuroplasticity in SLE.

Indexed as

ConnectomeAdultBrainBrain MappingCase-Control StudiesDiffusion Magnetic Resonance ImagingFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedNeuronal PlasticityRegression AnalysisSpatial AnalysisConnectomenetwork analysisSLE

Identifiers

PMID33307988
PMCPMC7854491

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.