ArticleHuman brain mapping2013
Functional connectivity changes in multiple sclerosis patients: a graph analytical study of MEG resting state data.
Article in Human brain mapping, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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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
63 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.
- Reproducibility of graph-theoretic brain network metrics: a systematic review.Brain connectivity · 2015Pooled it
- Functional Connectivity at Rest and During Cognitive Processing in Multiple Sclerosis: A Pilot Magnetoencephalography Study and Systematic Review.Brain sciences · 2026Article
- Machine Learning Integrating SERF-MEG and VEP for Diagnosis and Differential Diagnosis of Optic Neuropathies.Bioengineering (Basel, Switzerland) · 2026Article
- Decoding Visual Pathway Dysfunction with SERF-MEG: A Study in Patients with Optic Neuropathy.Bioengineering (Basel, Switzerland) · 2026Article
- Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia.Scientific reports · 2024Article
- Frequency-specific segregation and integration of human cerebral cortex: An intrinsic functional atlas.iScience · 2024Article
- Hub overload and failure as a final common pathway in neurological brain network disorders.Network neuroscience (Cambridge, Mass.) · 2024Review
- The role of leadership level in college students' facial emotion recognition: evidence from event-related potential analysis.Cognitive research: principles and implications · 2023Article
- Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review.Brain sciences · 2023Review
- Microstates in multiple sclerosis: an electrophysiological signature of altered large-scale networks functioning?Brain communications · 2023Article
- How does Nogo receptor influence demyelination and remyelination in the context of multiple sclerosis?Frontiers in cellular neuroscience · 2023Review
- Multistage classification identifies altered cortical phase- and amplitude-coupling in Multiple Sclerosis.NeuroImage · 2022Article
- Inhibitory synaptic loss drives network changes in multiple sclerosis: An ex vivo to in silico translational study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Oligodendroglia are emerging players in several forms of learning and memory.Communications biology · 2022Review
- Regional healthy brain activity, glioma occurrence and symptomatology.Brain : a journal of neurology · 2022Article
- Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2022Article
- Myelination synchronizes cortical oscillations by consolidating parvalbumin-mediated phasic inhibition.eLife · 2022Article
- Brain functional connectivity analysis in patients with relapsing-remitting multiple sclerosis: A graph theory approach of EEG resting state.Frontiers in neuroscience · 2022Article
- The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics.NeuroImage. Clinical · 2022Review
- Structural connectome constrained graphical lasso for MEG partial coherence.Network neuroscience (Cambridge, Mass.) · 2022Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is characterized by extensive damage in the central nervous system. Within this field, there is a strong need for more advanced, functional imaging measures, as abnormalities measured with structural imaging insufficiently explain clinicocognitive decline in MS. In this study we investigated functional connectivity changes in MS using resting-state magnetoencephalography (MEG). Data from 34 MS patients and 28 age and gender-matched controls was assessed using synchronization likelihood (SL) as a measure of functional interaction strength between brain regions, and graph analysis to characterize topological patterns of connectivity changes. Cognition was assessed using extensive neuropsychological evaluation. Structural measures included brain and lesion volumes, using MRI. Results show SL increases in MS patients in theta, lower alpha and beta bands, with decreases in the upper alpha band. Graph analysis revealed a more regular topology in the lower alpha band in patients, indicated by an increased path length (λ) and clustering coefficient (γ). Attention and working memory domains were impaired, with decreased brain volumes. A stepwise linear regression model using clinical, MRI and MEG parameters as predictors revealed that only increases in lower alpha band γ predicted impaired cognition. Cognitive impairments and related altered connectivity patterns were found to be especially predominant in male patients. These results show specific functional changes in MS as measured with MEG. Only changes in network topology were related to poorer cognitive outcome. This indicates the value of graph analysis beyond traditional structural and functional measures, with possible implications for diagnostic and/or prognostic purposes in MS.
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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.