ArticleFrontiers in neurology2022
Identifying different cognitive phenotypes and their relationship with disability in neuromyelitis optica spectrum disorder.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- 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
- Association of peripapillary retinal nerve fiber layer atrophy with cognitive impairment in patients with neuromyelitis optica spectrum disorder.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Correlation of GABABrain and behavior · 2024Article
- Factors associated with cognitive impairment in patients with neuromyelitis optica spectrum disorders from Mexico.Multiple sclerosis journal - experimental, translational and clinicalArticle
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Authors and funding
7 authors.
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Abstract
Background: The existence, frequency, and features of cognitive impairment (CI) in patients with neuromyelitis optica spectrum disorder (NMOSD) are still debated. A precise classification and characterization of cognitive phenotypes in patients with NMOSD are lacking. Methods: A total of 66 patients with NMOSD and 22 healthy controls (HCs) underwent a neuropsychological assessment. Latent profile analysis (LPA) on cognitive test z scores was used to identify cognitive phenotypes, and ANOVA was used to define the clinical features of each phenotype. Univariate and multivariate analyses were used to explore the predictors of severe CI, and a corresponding nomogram was created to visualize the predictive model. Results: LPA results suggested four distinct meaningful cognitive phenotypes in NMOSD: preserved cognition ( Conclusions: We introduced a classification scheme for CI and highlighted that the deterioration of upper- and lower-limb motor disability potentially predicts cognitive phenotypes in NMOSD.
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