ArticleBrain and behavior2025
Functional Connectivity Changes of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: A Graph-Theoretic and Topology-Based Study.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Functional Connectivity Changes of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: A Graph-Theoretic and Topology-Based Study.Brain and behavior · 2025Article
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Abstract
introductionAnti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a type of autoimmune disorder manifesting in neurologic, cognitive, and psychological abnormalities, yet its neurological basis remains obscure. The purpose of our study was to assess the modification of functional brain networks in patients diagnosed with anti-NMDAR encephalitis, aiming to uncover the potential pathogenic mechanisms underlying these changes and thus provide insights for further therapeutic strategies.
methodsThe present study enrolled 34 healthy controls (HCs) and 35 patients suffering from anti-NMDAR encephalitis who were subject to functional magnetic resonance imaging (fMRI) and neuropsychological testing. Topological properties and functional connectivity (FC) were analyzed using graph theory to quantify network parameters, based on the brain functional network constructed from fMRI data.
resultsCompared to HCs, patients had decreased functional connectivity between most brain regions and increased connectivity only in the parietal and left frontal lobes. In contrast to the control group, patients had an increase in local efficiency (t = 2.181, p = 0.032) and global efficiency (t = 2.253, p = 0.027), and a decrease in shortest path length (t = -2.310, p = 0.022). In terms of regional lymph nodes, both lymph node efficiency and degree got elevated in the default mode network (DMN), whereas the subcortical network (SCN) showed enhanced efficiency and reduced intermediacy of lymph nodes.
conclusionOur research examined the functional brain networks of anti-NMDAR encephalitis patients and gained an understanding of the abnormalities, which underlies further investigation into neuropathophysiological mechanisms.
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