ArticleBrain connectivity2020
Graph Theoretic Analysis of Brain Connectomics in Multiple Sclerosis: Reliability and Relationship with Cognition.
Article in Brain connectivity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 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
- Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis.Brain connectivity · 2022Trial
- Brain network alterations in autoimmune diseases: Current status and future prospects.iScience · 2026Review
- Complexity of intrinsic brain activity in relapsing-remitting multiple sclerosis patients: patterns, association with structural damage, and clinical disability.La Radiologia medica · 2025Observational
- Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data.Neuroimage. Reports · 2025Article
- Functional gradients reveal cortical hierarchy changes in multiple sclerosis.Human brain mapping · 2024Article
- Dynamic Changes in Long-Standing Multiple Sclerosis Revealed by Longitudinal Structural Network Analysis Using Diffusion Tensor Imaging.AJNR. American journal of neuroradiology · 2024Article
- Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review.Brain sciences · 2023Review
- An investigation of the association between focal damage and global network properties in cognitively impaired and cognitively preserved patients with multiple sclerosis.Frontiers in neuroscience · 2023Article
- Differences in resting state functional connectivity relative to multiple sclerosis and impaired information processing speed.Frontiers in neurology · 2023Article
- Disrupted structural network of inferomedial temporal regions in relapsing-remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder.Scientific reports · 2022Article
- Individual-specific networks for prediction modelling - A scoping review of methods.BMC medical research methodology · 2022Article
- Microstructure-Weighted Connectomics in Multiple Sclerosis.Brain connectivity · 2022Review
- The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics.NeuroImage. Clinical · 2022Review
- A more unstable resting-state functional network in cognitively declining multiple sclerosis.Brain communications · 2022Article
- Improved prediction of early cognitive impairment in multiple sclerosis combining blood and imaging biomarkers.Brain communications · 2022Article
- Disruption of Cerebellar-Cerebral Functional Connectivity in Temporal Lobe Epilepsy and the Connection to Language and Cognitive Functions.Frontiers in neuroscience · 2022Article
- Dorsolateral prefrontal circuit effective connectivity mediates the relationship between white matter structure and PASAT-3 performance in multiple sclerosis.Human brain mapping · 2021Observational
- Gray Matter Morphometry Correlates with Attentional Efficiency in Young-Adult Multiple Sclerosis.Brain sciences · 2021Article
- Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data.Basic and clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research suggests that disruption of brain networks might explain cognitive deficits in multiple sclerosis (MS). The reliability and effectiveness of graph theoretic network metrics as measures of cognitive performance were tested in 37 people with MS and 23 controls. Specifically, relationships with cognitive performance (linear regression against the paced auditory serial addition test-3 seconds [PASAT-3], symbol digit modalities test [SDMT], and attention network test) and 1-month reliability (using the intraclass correlation coefficient [ICC]) of network metrics were measured using both resting-state functional and diffusion magnetic resonance imaging data. Cognitive impairment was directly related to measures of brain network segregation and inversely related to network integration (prediction of PASAT-3 by small worldness, modularity, characteristic path length,
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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.