ArticleBrain communications2022
A more unstable resting-state functional network in cognitively declining multiple sclerosis.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Correlation between cognitive changes and neuroradiological changes over time in multiple sclerosis: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- Functional connectivity dynamics of monoaminergic circuits related to fatigue in multiple sclerosis.Journal of neurology · 2026Article
- Dynamic Triangulation of Resting-State Networks and CSF Metabolites Reveals Bidirectional Causal Pathways in Multiple Sclerosis: A Mendelian Randomization Analysis.Journal of molecular neuroscience : MN · 2026Article
- Time-Varying Brain Functional Reconfiguration Patterns Associated With Fatigue in Multiple Sclerosis.Human brain mapping · 2026Observational
- Mild cognitive impairment impacts association of functional brain connectivity with cognition in older adults with and without multiple sclerosis.GeroScience · 2026Article
- Cognitive outcomes in multiple sclerosis are shaped by divergent functional connectivity trajectories.Brain communications · 2026Article
- Understanding the complex network of objectively assessed cognition and self-reported psychological symptoms in people with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Energy Associated With Dynamic Network Changes in Patients With Multiple Sclerosis and Cognitive Impairment.Neurology · 2024Article
- Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Identifying and understanding cognitive profiles in multiple sclerosis: a role for visuospatial memory functioning.Journal of neurology · 2024Article
- 2.5-Year changes of connectivity dynamism are relevant for physical and cognitive deterioration in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Higher-order functional connectivity analysis of resting-state functional magnetic resonance imaging data using multivariate cumulants.Human brain mapping · 2024Article
- Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing-remitting but not in secondary progressive multiple sclerosis.Brain communications · 2024Article
- A review on multiple sclerosis prognostic findings from imaging, inflammation, and mental health studies.Frontiers in human neuroscience · 2023Review
- Increased flexibility of brain dynamics in patients with multiple sclerosis.Brain communications · 2023Article
- The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics.NeuroImage. Clinical · 2022Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive impairment is common in people with multiple sclerosis and strongly affects their daily functioning. Reports have linked disturbed cognitive functioning in multiple sclerosis to changes in the organization of the functional network. In a healthy brain, communication between brain regions and which network a region belongs to is continuously and dynamically adapted to enable adequate cognitive function. However, this dynamic network adaptation has not been investigated in multiple sclerosis, and longitudinal network data remain particularly rare. Therefore, the aim of this study was to longitudinally identify patterns of dynamic network reconfigurations that are related to the worsening of cognitive decline in multiple sclerosis. Resting-state functional MRI and cognitive scores (expanded Brief Repeatable Battery of Neuropsychological tests) were acquired in 230 patients with multiple sclerosis and 59 matched healthy controls, at baseline (mean disease duration: 15 years) and at 5-year follow-up. A sliding-window approach was used for functional MRI analyses, where brain regions were dynamically assigned to one of seven literature-based subnetworks. Dynamic reconfigurations of subnetworks were characterized using measures of promiscuity (number of subnetworks switched to), flexibility (number of switches), cohesion (mutual switches) and disjointedness (independent switches). Cross-sectional differences between cognitive groups and longitudinal changes were assessed, as well as relations with structural damage and performance on specific cognitive domains. At baseline, 23% of patients were cognitively impaired (≥2/7 domains
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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 OpenQuestion graph.