ArticleFrontiers in neuroscience2022
Alterations in White Matter Fiber Tracts Characterized by Automated Fiber-Tract Quantification and Their Correlations With Cognitive Impairment in Neuromyelitis Optica Spectrum Disorder Patients.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 20 citations in OpenAlex.
- White Matter Microstructural Alterations Are Linked to Cognitive Impairment in Patients with Fabry Disease: an Automated Fiber Quantification Study.Clinical neuroradiology · 2026Article
- EEG biomarkers of microstructural damage in normal-appearing white matter among patients with neuromyelitis optica spectrum disorder: A DTI-EEG combined study.Frontiers in immunology · 2026Article
- The association between information processing speed and clinical features in people with multiple sclerosis and neuromyelitis optica: a comparative study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Brain corticospinal tract abnormalities in aquaporin-4 seropositive neuromyelitis optica spectrum disorder with longitudinally extensive transverse myelitis.Brain communications · 2025Article
- Cross-sectional and longitudinal evaluation of white matter microstructure damage and cognitive correlations by automated fibre quantification in relapsing-remitting multiple sclerosis patients.Brain imaging and behavior · 2024Article
- Exploring subtypes of multiple sclerosis through unsupervised machine learning of automated fiber quantification.Japanese journal of radiology · 2024Article
- Brain white matter microstructural alterations in patients with systemic lupus erythematosus: an automated fiber quantification study.Brain imaging and behavior · 2024Article
- In patients with mild disability NMOSD: is the alteration in the cortical morphological or functional network topological properties more significant.Frontiers in immunology · 2024Article
- Correlation between cerebral cortex changes and clinical features in patients with neuromyelitis optica spectrum disorder with normal-appearing brain tissue: a case-control study.Neural regeneration research · 2023Article
- Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging.Anatomical science international · 2023Review
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To investigate whether patients with neuromyelitis optica spectrum disorder (NMOSD) have tract-specific alterations in the white matter (WM) and the correlations between the alterations and cognitive impairment. Materials and Methods: In total, 40 patients with NMOSD and 20 healthy controls (HCs) who underwent diffusion tensor imaging (DTI) scan and neuropsychological scale assessments were enrolled. Automated fiber-tract quantification (AFQ) was applied to identify and quantify 100 equally spaced nodes of 18 specific WM fiber tracts for each participant. Then the group comparisons in DTI metrics and correlations between different DTI metrics and neuropsychological scales were performed. Results: Regardless of the entire or pointwise level in WM fiber tracts, patients with NMOSD exhibited a decreased fractional anisotropy (FA) in the left inferior fronto-occipital fasciculus (L_IFOF) and widespread increased mean diffusion (MD), axial diffusivity (AD), and radial diffusivity (RD), especially for the thalamic radiation (TR), corticospinal tract (CST), IFOF, inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus (SLF) [ Conclusion: Patients with NMOSD exhibited the specific nodes of WM fiber tract damage, which can enhance our understanding of WM microstructural abnormalities in NMOSD. In addition, the altered DTI metrics were correlated with cognitive impairment, which can be used as imaging markers for the early identification of NMOSD cognitive impairment.
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