ArticleScientific reports2019
MR g-ratio-weighted connectome analysis in patients with multiple sclerosis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
The trial behind it
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Who cites it
26 citing papers in PubMed, 39 citations in OpenAlex.
- The microstructure-weighted human connectome: network properties and structure-function correlations across spatial scales.bioRxiv : the preprint server for biology · 2026Article
- Longitudinal visualization tools for advanced characterization of multiple sclerosis lesions using diffusion MRI and magnetization transfer imaging metrics.Brain structure & function · 2026Article
- A pilot study on protocol consistency and graph metric reproducibility in microstructure-weighted connectomes.Scientific reports · 2026Article
- Mapping the aggregate g-ratio of white matter tracts using multi-modal MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Harnessing myelin water fraction as an imaging biomarker of human cerebral aging, neurodegenerative diseases, and risk factors influencing myelination: A review.Journal of neurochemistry · 2024Review
- Myelin Changes in Poor Sleepers: Insights into Glymphatic Clearance Function and Regional Circadian Clock Gene Expression.Aging and disease · 2024Article
- Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics.Investigative radiology · 2023Review
- Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging.Anatomical science international · 2023Review
- The Value of Various Post-Processing Modalities of Diffusion Weighted Imaging in the Detection of Multiple Sclerosis.Brain sciences · 2023Review
- Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Evaluation of tractography-based myelin-weighted connectivity across the lifespan.Frontiers in neuroscience · 2023Article
- Associations between corpus callosum damage, clinical disability, and surface-based homologous inter-hemispheric connectivity in multiple sclerosis.Brain structure & function · 2022Article
- The Myelin-Weighted Connectome in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Advanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- Microstructure-Weighted Connectomics in Multiple Sclerosis.Brain connectivity · 2022Review
- Longitudinal microstructural MRI markers of demyelination and neurodegeneration in early relapsing-remitting multiple sclerosis: Magnetisation transfer, water diffusion and g-ratio.NeuroImage. Clinical · 2022Article
- Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.Brain communications · 2022Review
- Overview of myelin, major myelin lipids, and myelin-associated proteins.Frontiers in chemistry · 2022Review
- Parkinson's disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation.Neuroradiology · 2021Article
- Mapping Structural Connectivity Using Diffusion MRI: Challenges and Opportunities.Journal of magnetic resonance imaging : JMRI · 2021Review
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is a brain network disconnection syndrome. Although the brain network topology in MS has been evaluated using diffusion MRI tractography, the mechanism underlying disconnection in the disorder remains unclear. In this study, we evaluated the brain network topology in MS using connectomes with connectivity strengths based on the ratio of the inner to outer myelinated axon diameter (i.e., g-ratio), thereby providing enhanced sensitivity to demyelination compared with the conventional measures of connectivity. We mapped g-ratio-based connectomes in 14 patients with MS and compared them with those of 14 age- and sex-matched healthy controls. For comparison, probabilistic tractography was also used to map connectomes based on the number of streamlines (NOS). We found that g-ratio- and NOS-based connectomes comprised significant connectivity reductions in patients with MS, predominantly in the motor, somatosensory, visual, and limbic regions. However, only the g-ratio-based connectome enabled detection of significant increases in nodal strength in patients with MS. Finally, we found that the g-ratio-weighted nodal strength in motor, visual, and limbic regions significantly correlated with inter-individual variation in measures of disease severity. The g-ratio-based connectome can serve as a sensitive biomarker for diagnosing and monitoring disease progression.
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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.