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Previous neuroimaging studies have revealed cognitive dysfunction in patients with systemic lupus erythematosus (SLE) and suggested that it may be related to disrupted brain white matter (WM) connectivity. However, no study has examined the topological properties of brain WM structural networks in SLE patients, especially in patients with non-neuropsychiatric SLE (non-NPSLE). In this study, we acquired DTI datasets from 28 non-NPSLE patients and 24 healthy controls, constructed their brain WM structural networks by using a deterministic fiber tracking approach, estimated the topological parameters of their structural networks, and compared their group differences. We reached the following results: 1) At the global level, the non-NPSLE patients showed significantly increased characteristic path length, normalized clustering coefficient and small-worldness, but significantly decreased global efficiency and local efficiency compared to the controls; 2) At the nodal level, the non-NPSLE patients had significantly decreased nodal efficiency in regions related to movement control, executive control, and working memory (bilateral precentral gyri, bilateral middle frontal gyri, bilateral inferior parietal lobes, left median cingulate gyrus and paracingulate gyrus, and right middle temporal gyrus). In addition, to pinpointing the injured WM fiber tracts in the non-NPSLE patients, we reconstructed the major brain WM pathways connecting the abnormal regions at the nodal level with the corticospinal tract (CST), superior longitudinal fasciculus-parietal terminations (SLFP), and superior longitudinal fasciculus-temporal terminations (SLFT). By analyzing the diffusion parameters along these WM fiber pathways, we detected abnormal diffusion parameters in the bilateral CST and right SLFT in the non-NPSLE patients. These results seem to indicate that injured brain WM connectivity exists in SLE patients even in the absence of neuropsychiatric symptoms.
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http://dx.doi.org/10.1007/s11682-017-9681-3 | DOI Listing |
PLoS One
August 2025
School of Information and Data Sciences, Nagasaki University, Nagasaki, Japan.
Introduction: Diagnosing neuropsychiatric systemic lupus erythematosus (NPSLE) and differentiating it from systemic lupus erythematosus (SLE) without neuropsychiatric manifestations remains a substantial clinical challenge due to the absence of specific biomarkers. Topological data analysis (TDA) is a novel computational technique that enables the visualization, exploration, and analysis of complex data structures. This study aimed to identify distinct neuroimaging biomarkers in patients with NPSLE (NPSLE group) and differentiate them from patients with SLE without neuropsychiatric symptoms (non-NPSLE group) by employing TDA.
View Article and Find Full Text PDFSemin Arthritis Rheum
August 2025
Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha 410011 Hunan, China; Department of Pediatric Neurology, Children's Medical Center, The Second Xiangya Hospital of Central South University, Changsha 410011 Hunan, China; Hunan Provincial Children's Developmen
Background: Neuropsychiatric systemic lupus erythematosus (NPSLE) is a common complication of juvenile systemic lupus erythematosus, with high morbidity and lethality rates. This study aimed to comprehensively analyze the clinical characteristics and related influencing factors of NPSLE, providing important basis for the early detection and early diagnosis of NPSLE.
Methods: The clinical data of juvenile-onset NPSLE patients, juvenile non-NPSLE patients, and adult-onset NPSLE patients admitted to the Xiangya Second Hospital of Central South University from January 2010 to December 2023 were retrospectively analyzed.
Lupus Sci Med
July 2025
City of Hope National Medical Center, Duarte, California, USA.
Objectives: To assess brain grey matter alterations in patients with SLE and their correlation with neuropsychological testing using synthetic MRI (SyMRI).
Methods: This prospective study enrolled patients with SLE and age, gender and education-matched healthy controls (HC). Study assessments included brain MRI using SyMRI and neuropsychological tests: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Digit Span Test, Self-Rating Anxiety Scale and Self-Rating Depression Scale (SDS).
Lupus Sci Med
June 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Objective: We aim to assess the cerebral oxygen extraction fraction (OEF) changes in patients with systemic lupus erythematosus (SLE) and neuropsychiatric SLE (NPSLE) by using an MRI-based technique and examine the relationship between OEF and cognition.
Methods: 43 SLE patients (18 NPSLE and 25 non-NPSLE) and 26 healthy controls (HC) were recruited. Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA).
Clin Exp Rheumatol
May 2025
Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Objectives: This study aimed to identify potential biomarkers and construct a nomogram able to predict the development of neuropsychiatric systemic lupus erythematosus (NPSLE) among SLE patients.
Methods: Using bioinformatics analysis, TREM2 was identified as an upregulated gene in NPSLE, participating in various pathological pathways of NPSLE. This study included 80 NPSLE patients and three matched SLE controls with no neuropsychiatric events (non-NPSLE controls) for each of the NPSLE patients.