ArticleBrain communications2024
Early regional cerebral grey matter damage predicts long-term cognitive impairment phenotypes in multiple sclerosis: a 20-year study.
Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical Study on the Neuroprotective Effects of Dengzhan Shengmai Capsule on Brain Structure and Cognitive Function in Patients with Vascular Cognitive Impairment.Current Alzheimer research · 2026Trial
- The multi-dimensional spectrum of radiologically isolated syndrome: a systematic review of cognitive and psychosocial evidence.Acta neurologica Belgica · 2026Review
- Grey matter degeneration during multiple sclerosis is linked to activation of neuronal necroptosis by oxidized phosphatidylcholines.Research square · 2026Article
- Network-based identification of regulatory hubs and therapeutic targets in multiple sclerosis: an integrated transcriptomic and molecular docking approach.Acta neurologica Belgica · 2026Article
- Differences in the Neural Substrate for Physical and Mental Quality of Life in Patients With Multiple Sclerosis.Brain and behavior · 2025Article
- Brain Microstructural Alterations in Children Post-COVID-19 Infection Through VBM, SBM, and Structural Covariance Network Analysis.Brain and behavior · 2025Article
- Multiple sclerosis and the risk of dementia: a real-world, nationwide cohort study.Frontiers in neurology · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite grey matter atrophy in cortical and subcortical regions has been related to cognitive impairment in multiple sclerosis, only a few studies evaluated its predictive value for alterations in the long-term. We aimed to determine early predictors of cognitive status after 20 years of multiple sclerosis. In this longitudinal retrospective study, participants underwent a 1.5 T MRI scanning at diagnosis (T0) and after two years (T2), which included the evaluation of regional grey matter volume loss patterns. All individuals with multiple sclerosis underwent a comprehensive neuropsychological assessment at the end of the study and were classified considering their global and specific cognitive domains status (memory, attention/information processing speed, executive functioning). Clinical and MRI characteristics were assessed as predictors of long-term cognitive impairment. Analysis of covariance,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.