ArticleNetwork neuroscience (Cambridge, Mass.)2023
Graph theoretical approach to brain remodeling in multiple sclerosis.
Article in Network neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 9 citations in OpenAlex.
- Brain network alterations in autoimmune diseases: Current status and future prospects.iScience · 2026Review
- Early structural hub disruption leads to premature functional adaption in multiple sclerosis.Brain structure & function · 2025Article
- Disruption of functional and structural topological organization in specific subnetwork among patients with classical trigeminal neuralgia: a graph theory-based magnetic resonance imaging study.Brain imaging and behavior · 2025Article
- Alterations of Brain Structural and Functional Connectivity Networks and Its Correlations With Cognitive Function in Patients With Hypothalamic Syndrome Following Craniopharyngioma Resection.Brain and behavior · 2025Article
- Microstructural alterations of cerebellar peduncles in multiple sclerosis: a diffusion tensor imaging study.Acta neurologica Belgica · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is a neuroinflammatory disorder damaging structural connectivity. Natural remodeling processes of the nervous system can, to some extent, restore the damage caused. However, there is a lack of biomarkers to evaluate remodeling in MS. Our objective is to evaluate graph theory metrics (especially modularity) as a biomarker of remodeling and cognition in MS. We recruited 60 relapsing-remitting MS and 26 healthy controls. Structural and diffusion MRI, plus cognitive and disability evaluations, were done. We calculated modularity and global efficiency from the tractography-derived connectivity matrices. Association of graph metrics with T2 lesion load, cognition, and disability was evaluated using general linear models adjusting for age, gender, and disease duration wherever applicable. We showed that MS subjects had higher modularity and lower global efficiency compared with controls. In the MS group, modularity was inversely associated with cognitive performance but positively associated with T2 lesion load. Our results indicate that modularity increase is due to the disruption of intermodular connections in MS because of the lesions, with no improvement or preserving of cognitive functions.
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Registered trials
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.