ArticleNeurology2021
Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis.
Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Explainable Artificial Intelligence to Predict Neurocognitive Disorder Progression in Multiple Sclerosis Using MRI and Clinical Data.European journal of neurology · 2026Article
- Spatial gene expression and functional network abnormalities in multiple sclerosis: exploring biological influence on brain functional reorganization.Translational psychiatry · 2026Article
- Cognitive outcomes in multiple sclerosis are shaped by divergent functional connectivity trajectories.Brain communications · 2026Article
- Functional connectivity changes are associated with disability progression in multiple sclerosis: a longitudinal fMRI study.Journal of neurology · 2025Article
- Resting-state functional connectivity correlates of gait and turning performance in multiple sclerosis: a multivariate pattern analysis.Scientific reports · 2025Article
- Evolution of Cortical Lesions and Function-Specific Cognitive Decline in People With Multiple Sclerosis.Neurology · 2025Article
- Associations between connectivity in functional brain networks and gait speed in older adults with and without multiple sclerosis.Journal of neurology · 2025Article
- Global functional connectivity reorganization reflects cognitive processing speed deficits and fatigue in multiple sclerosis.European journal of neurology · 2025Article
- Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex.Annals of clinical and translational neurology · 2025Article
- The role of fatigue in attentional processing in multiple sclerosis: data from event-related potentials.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
- The cognitive relevance of non-lesional damage to cortical networks in people with multiple sclerosis.Journal of neurology · 2024Article
- Functional gradients reveal cortical hierarchy changes in multiple sclerosis.Human brain mapping · 2024Article
- 2.5-Year changes of connectivity dynamism are relevant for physical and cognitive deterioration in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Smartphone-Based Cognitive Telerehabilitation: A Usability and Feasibility Study Focusing on Mild Cognitive Impairment.Sensors (Basel, Switzerland) · 2024Article
- Osteopontin predicts late-time salience network-related functional connectivity in multiple sclerosis.PloS one · 2024Article
- Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis.Brain communications · 2024Article
- Functional and structural brain MRI changes associated with cognitive worsening in multiple sclerosis: a 3-year longitudinal study.Journal of neurology · 2023Article
- Higher Functional Connectivity of Ventral Attention and Visual Network to Maintain Cognitive Performance in White Matter Hyperintensity.Aging and disease · 2023Article
- Resting-state functional connectivity in multiple sclerosis patients receiving nabiximols for spasticity.BMC neurology · 2023Article
- Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity.Network neuroscience (Cambridge, Mass.) · 2023Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo characterize functional network changes related to conversion to cognitive impairment in a large sample of patients with multiple sclerosis (MS) over a period of 5 years.
methodsTwo hundred twenty-seven patients with MS and 59 healthy controls of the Amsterdam MS cohort underwent neuropsychological testing and resting-state fMRI at 2 time points (time interval 4.9 ± 0.9 years). At both baseline and follow-up, patients were categorized as cognitively preserved (CP; n = 123), mildly impaired (MCI;
resultsOver time, 18.9% of patients converted to a worse phenotype; 22 of 123 patients who were CP (17.9%) converted from CP to MCI, 10 of 123 from CP to CI (8.1%), and 12 of 32 patients with MCI converted to CI (37.5%). At baseline, default-mode network (DMN) centrality was higher in CI individuals compared to controls (
conclusionsOf all patients, 19% worsened in their cognitive status over 5 years. Conversion from intact cognition to impairment is related to an initial disturbed functioning of the VAN, then shifting toward DMN dysfunction in CI. Because the VAN normally relays information to the DMN, these results could indicate that in MS normal processes crucial for maintaining overall network stability are progressively disrupted as patients clinically progress.
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