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Functional Brain Network Alterations in Patients With Systemic Lupus Erythematosus With Different Cognitive Function
Xiaolu Li1, Jianguo Xia2, Jianfeng Hu2
1From the Department of Radiology, Graduate School of Dalian Medical University, Dalian.
Systemic lupus erythematosus (SLE) patients with lower cognitive function show disrupted brain networks, linked to clinical markers. These network alterations may serve as imaging markers for monitoring SLE progression and cognitive changes.
Area of Science:
- Neuroscience
- Radiology
- Immunology
Background:
- Systemic lupus erythematosus (SLE) is an autoimmune disease that can affect the central nervous system, leading to cognitive impairment.
- Understanding the neurobiological underpinnings of cognitive dysfunction in SLE is crucial for effective management.
Purpose of the Study:
- To investigate brain functional network disruptions in SLE patients with varying cognitive function using graph theory analysis.
- To explore the relationship between these network alterations, clinical data, and neuropsychiatric scales.
Main Methods:
- Resting-state fMRI data analyzed using graph theory in 38 female SLE patients and 44 healthy controls.
- SLE patients categorized into high (MoCA≥26) and low (MoCA<26) cognitive function groups based on MoCA scores.
- Comparison of global and local network topological properties, followed by correlation analysis with clinical indicators in the low MoCA group.
Main Results:
- SLE patients with low MoCA scores exhibited altered global network properties, including increased characteristic path length and decreased global/local efficiency compared to controls.
- Local network analysis revealed decreased node efficiency in specific brain regions (e.g., anterior cingulate, putamen, pallidum, Heschl gyrus) in the low MoCA group.
- Network alterations in the low MoCA group correlated with clinical markers such as C4 levels, disease duration, and IgM levels.
Conclusions:
- Disrupted functional brain network topology is associated with cognitive impairment in SLE patients.
- Altered brain network properties in SLE may serve as potential imaging biomarkers for monitoring disease progression and cognitive status.
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