ArticleBrain communications2019
Imaging markers of disability in aquaporin-4 immunoglobulin G seropositive neuromyelitis optica: a graph theory study.
Article in Brain communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Cognitive function in patients with myelin oligodendrocyte glycoprotein antibody-associated disease.Journal of neurology · 2026Article
- Multimodal MRI biomarkers and machine learning in neuromyelitis optica spectrum disorder: a review.Frontiers in neurology · 2026Review
- Brain tissue integrity in neuromyelitis optica spectrum disorder through T1-w/T2-w ratio, MTR and DTI.Journal of neurology · 2025Article
- Brain volumetry and spinal cord imaging in patients with AQP4-IgG+ NMOSD-a systematic review and meta-analysis.Therapeutic advances in neurological disorders · 2025Article
- Investigation of the association of serum GFAP and NfL with brain and upper cervical MRI volumes in AQP4-IgG-positive NMOSD and MOGAD.Therapeutic advances in neurological disorders · 2025Article
- Article
- Hippocampal hub failure is linked to long-term memory impairment in anti-NMDA-receptor encephalitis: insights from structural connectome graph theoretical network analysis.Journal of neurology · 2024Article
- Regional spinal cord volumes and pain profiles in AQP4-IgG + NMOSD and MOGAD.Frontiers in neurology · 2024Article
- Personalized estimates of morphometric similarity in multiple sclerosis and neuromyelitis optica spectrum disorders.NeuroImage. Clinical · 2023Article
- Silent progression of brain atrophy in aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder.Journal of neurology, neurosurgery, and psychiatry · 2022Article
- Clinical and neuroimaging findings in MOGAD-MRI and OCT.Clinical and experimental immunology · 2021Review
- Magnetic resonance imaging in neuromyelitis optica spectrum disorder.Clinical and experimental immunology · 2021Review
- A window into the future? MRI for evaluation of neuromyelitis optica spectrum disorder throughout the disease course.Therapeutic advances in neurological disorders · 2021Review
- Visualizing the Central Nervous System: Imaging Tools for Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders.Frontiers in neurology · 2020Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromyelitis optica spectrum disorders lack imaging biomarkers associated with disease course and supporting prognosis. This complex and heterogeneous set of disorders affects many regions of the central nervous system, including the spinal cord and visual pathway. Here, we use graph theory-based multimodal network analysis to investigate hypothesis-free mixed networks and associations between clinical disease with neuroimaging markers in 40 aquaporin-4-immunoglobulin G antibody seropositive patients (age = 48.16 ± 14.3 years, female:male = 36:4) and 31 healthy controls (age = 45.92 ± 13.3 years, female:male = 24:7). Magnetic resonance imaging measures included total brain and deep grey matter volumes, cortical thickness and spinal cord atrophy. Optical coherence tomography measures of the retina and clinical measures comprised of clinical attack types and expanded disability status scale were also utilized. For multimodal network analysis, all measures were introduced as nodes and tested for directed connectivity from clinical attack types and disease duration to systematic imaging and clinical disability measures. Analysis of variance, with group interactions, gave weights and significance for each nodal association (hyperedges). Connectivity matrices from 80% and 95% F-distribution networks were analyzed and revealed the number of combined attack types and disease duration as the most connected nodes, directly affecting changes in several regions of the central nervous system. Subsequent multivariable regression models, including interaction effects with clinical parameters, identified associations between decreased nucleus accumbens (
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