Brain morphology and cortical thickness variations in systemic lupus erythematosus patients: Differences among neurological, psychiatric, and nonneuropsychiatric manifestations

Zimmermann, Nicolle; Corrêa, Diogo Goulart; Tukamoto, Gustavo; Netto, Tania Maria; Pereira, Denis Batista; Fonseca, Róchele Paz; Gasparetto, Emerson L.

doi:10.1002/jmri.25538

Cited by 11 publications

(10 citation statements)

References 41 publications

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“…Zivadinov et al [43] conducted multimodal neuroimaging studies on lupus patients and found that cortical atrophy was the most relevant measurement index for central nervous system involvement in SLE. Similar SBM studies for SLE also found that SLE patients have thinner cortical thickness in multiple brain regions [9,19,20,44]. Many previous studies [10,[45][46][47] have also verified the cerebral cortical atrophy in SLE patients by VBM and other different technical modalities; therefore, cortical thickness can be regarded as one of the imaging biomarkers for structural changes in SLE patients.…”

Section: Hc(n=88)supporting

confidence: 59%

“…There has been no previous study separately on the non-NPSLE subgroup of SLE. Some brain regions with thin cortex identified here are well reported, such as the left supramarginal gyrus of NPSLE is thinner than control groups [ 20 ], the left superior temporal gyrus of SLE patients with episodic memory deficit is thinner than control groups [ 19 ], and the left superior parietal cortex of NPSLE is thinner than non-NPSLE [ 9 ], but newer abnormal brain areas have been discovered for the first time. We consider that this perceived discrepancy can be explained by differences in study population and the use of brain anatomy atlas.…”

Section: Discussionmentioning

confidence: 72%

“…Previous studies have found that 31% of non-NPSLE patients were confirmed to have moderate cognitive dysfunction even in the absence of obvious neuropsychiatric symptoms [ 8 ]. Several studies performed MRI scans and analyses of the brains of non-NPSLE patients and found structural and functional abnormalities [ 5 , 9 – 11 ]. These results prove that non-NPSLE causes changes in the central nervous system before it develops into NPSLE.…”

Section: Introductionmentioning

confidence: 99%

“…Superiority of either in reflecting the underlying pathophysiology of the disease has not yet been determined. At present, several papers have described the use of SBM to study the cerebral cortex of SLE, which found abnormal cortical thickness in SLE patients [ 9 , 19 , 20 ]. However, use of ROIs to study the thickness of SLE cerebral cortex has not been reported.…”

Section: Introductionmentioning

confidence: 99%

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

Bai

Yang

et al. 2022

Arthritis Res Ther

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Background Non-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. Methods We 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. Results By 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. Conclusion Extensive 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.

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Section: Hc(n=88)supporting

confidence: 59%

Section: Discussionmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Bai

Yang

et al. 2022

Arthritis Res Ther

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“…However, different approaches were used, where we specifically evaluated the corpus callosum and the hippocampus with a semi-automated quantitative approach, whereas they assessed atrophy in general using a qualitative rating scale. 12 In the present study, the FreeSurfer software was used as this software is well suited for evaluating subcortical structures like the hippocampus and corpus callosum, 36,37 and it is the same method as used previously for measuring subcortical atrophy. 23…”

Section: Discussionmentioning

confidence: 99%

White matter lesions and brain atrophy in systemic lupus erythematosus patients: correlation to cognitive dysfunction in a cohort of systemic lupus erythematosus patients using different definition models for neuropsychiatric systemic lupus erythematosus

Cannerfelt

Nystedt²,

Jönsen

et al. 2018

Lupus

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Aim The aim of this study was to evaluate the extent of white matter lesions, atrophy of the hippocampus and corpus callosum, and their correlation with cognitive dysfunction (CD), in patients diagnosed with systemic lupus erythematosus (SLE). Methods Seventy SLE patients and 25 healthy individuals (HIs) were included in the study. To evaluate the different SLE and neuropsychiatric SLE (NPSLE) definition schemes, patients were grouped both according to the American College of Rheumatology (ACR) definition, as well as the more stringent ACR-Systemic Lupus International Collaborating Clinics definition. Patients and HIs underwent a 3 Tesla brain MRI and a standardized neuropsychological test. MRI data were evaluated for number and volume of white matter lesions and atrophy of the hippocampus and corpus callosum. Differences between groups and subgroups were evaluated for significance. Number and volume of white matter lesions and atrophy of the hippocampus and corpus callosum were correlated to cognitive dysfunction. Results The total volume of white matter lesions was significantly larger in SLE patients compared to HIs ( p = 0.004). However, no significant differences were seen between the different SLE subgroups. Atrophy of the bilateral hippocampus was significantly more pronounced in patients with NPSLE compared to those with non-NPSLE (right: p = 0.010; left p = 0.023). Significant negative correlations between cognitive test scores on verbal memory and number and volume of white matter lesions were present. Conclusion SLE patients have a significantly larger volume of white matter lesions on MRI compared to HIs and the degree of white matter lesion volume correlates to cognitive dysfunction, specifically to verbal memory. No significant differences in the number or volume of white matter lesions were identified between subgroups of SLE patients regardless of the definition model used.

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SARS-CoV-2’s brain impact: revealing cortical and cerebellar differences via cluster analysis in COVID-19 recovered patients

Romero-Molina,

Ramirez-Garcia,

Chirino-Perez

et al. 2024

Neurol Sci

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Brain morphology and cortical thickness variations in systemic lupus erythematosus patients: Differences among neurological, psychiatric, and nonneuropsychiatric manifestations

Abstract: 2 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:150-158.

Cited by 11 publications

References 41 publications

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

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

White matter lesions and brain atrophy in systemic lupus erythematosus patients: correlation to cognitive dysfunction in a cohort of systemic lupus erythematosus patients using different definition models for neuropsychiatric systemic lupus erythematosus

SARS-CoV-2’s brain impact: revealing cortical and cerebellar differences via cluster analysis in COVID-19 recovered patients

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