Evidence map›Paper›PMID 36443835›Full record

ArticleArthritis research & therapy2022

Abnormal cortical thickness and structural covariance networks in systemic lupus erythematosus patients without major neuropsychiatric manifestations.

Shu Li, Ru Bai, Yifan Yang, Ruotong Zhao, Bibhuti Upreti, Xiangyu Wang, Shuang Liu, Yuqi Cheng, Jian Xu

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

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  8. The volume and structural covariance network of thalamic nuclei in patients with Wilson's disease: an investigation of the association with neurological impairment.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Shu Li *Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Ru Bai *Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yifan Yang *Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Ruotong ZhaoDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Bibhuti UpretiDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiangyu WangDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Shuang LiuDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yuqi ChengDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China. yuqicheng@126.com.
Jian XuDepartment of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China. casxujian@163.com.
First Affiliated Hospital of Kunming Medical University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-neuropsychiatric systemic lupus erythematosus (non-NPSLE) has been confirmed to have subtle changes in brain structure before the appearance of obvious neuropsychiatric symptoms. Previous literature mainly focuses on brain structure loss in non-NPSLE; however, the results are heterogeneous, and the impact of structural changes on the topological structure of patients' brain networks remains to be determined. In this study, we combined neuroimaging and network analysis methods to evaluate the changes in cortical thickness and its structural covariance networks (SCNs) in patients with non-NPSLE.

methodsWe compare the cortical thickness of non-NPSLE patients (N=108) and healthy controls (HCs, N=88) using both surface-based morphometry (SBM) and regions of interest (ROI) methods, respectively. After that, we analyzed the correlation between the abnormal cortical thickness results found in the ROI method and a series of clinical features. Finally, we constructed the SCNs of two groups using the regional cortical thickness and analyzed the abnormal SCNs of non-NPSLE.

resultsBy SBM method, we found that cortical thickness of 34 clusters in the non-NPSLE group was thinner than that in the HC group. ROI method based on Destrieux atlas showed that cortical thickness of 57 regions in the non-NPSLE group was thinner than that in the HC group and related to the course of disease, autoantibodies, the cumulative amount of immunosuppressive agents, and cognitive psychological scale. In the SCN analysis, the cortical thickness SCNs of the non-NPSLE group did not follow the small-world attribute at a few densities, and the global clustering coefficient appeared to increase. The area under the curve analysis showed that there were significant differences between the two groups in clustering coefficient, degree, betweenness, and local efficiency. There are a total of seven hubs for non-NPSLE, and five hubs in HCs, the two groups do not share a common hub distribution.

conclusionExtensive and obvious reduction in cortical thickness and abnormal topological organization of SCNs are observed in non-NPSLE patients. The observed abnormalities may not only be the realization of brain damage caused by the disease, but also the contribution of the compensatory changes within the nervous system.

Indexed as

Lupus Erythematosus, SystemicAutoantibodiesBrainHumansImmunosuppressive AgentsNeuroimagingAutoantibodiesImmunosuppressive AgentsBrainClinical characteristicsCortical thicknessGraph theoryStructural covariance networksSystemic lupus erythematosus

Identifiers

PMID36443835
PMCPMC9703716
OpenAlexW4310249374

What OpenQuestion holds

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LicenceCC BY
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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.