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Updated: Aug 6, 2026

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Published on: December 1, 2023
Brain network alterations in autoimmune diseases: Current status and future prospects
Xin Ning Lee1, Haiyang Zhang1, Huifang Zhou1
1State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Brain network alterations are common in autoimmune diseases, impacting cognitive function. Further research is needed to understand these connectomic changes and their clinical significance.
Area of Science:
- Neuroscience
- Immunology
- Network Science
Background:
- Autoimmune diseases often manifest with neurological and cognitive impairments.
- Neuroimaging and connectomics offer tools to study brain network alterations in these conditions.
Purpose of the Study:
- To review structural and functional brain network studies in various autoimmune diseases.
- To synthesize findings on network alterations and their association with cognitive dysfunction.
Main Methods:
- Systematic review of connectomic studies in multiple sclerosis, neuromyelitis optica spectrum disorder, systemic lupus erythematosus, thyroid eye disease, type 1 diabetes mellitus, and inflammatory bowel disease.
- Analysis of structural and functional neuroimaging data using graph theory.
Main Results:
- Commonly observed network alterations include reduced global/local efficiency and altered modularity.
- Regional hub vulnerability and variations based on disease subtype and methodology were noted.
- Network changes correlate with cognitive impairment and neuropsychiatric symptoms.
Conclusions:
- Connectomic alterations are frequently associated with disease burden and progression in autoimmune disorders.
- Current evidence is heterogeneous, relying on cross-sectional studies with limited sample sizes.
- Longitudinal, standardized multimodal studies are essential for clarifying the clinical significance of these network changes.
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