ArticleJournal of neurology2025
MRI-based human brain atlases of R1, R2, proton density, and myelin volume fraction using synthetic quantitative imaging at 1.5 T.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- Multimodal Quantitative MRI of White and Gray Matter: Associations with Myelin-Related Metrics in the Healthy Adult Brain Using Synthetic MRI and IVIM-DWI.Journal of clinical medicine · 2026Article
- Functional, Structural, and AI-Based MRI Analysis: A Comprehensive Review of Recent Advances.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative MRI (qMRI) enables objective, reproducible measurement of tissue-specific MR properties, offering improved diagnostic accuracy and deeper insight into disease mechanisms compared to conventional MRI. Parameters such as proton density (PD), relaxation rates (R1, R2), and myelin volume fraction (MVF) provide valuable information on tissue composition, water content, and myelination. Reference qMRI atlases based on these parameters are essential for identifying deviations in individuals and supporting clinical decision-making. While several reference atlases exist, none offer comprehensive, multi-parametric data derived from a single acquisition dataset. In this study, we constructed four synthetic 3D reference brain atlases (isotropic resolution 1.5 mm) of PD, R1, R2, and MVF using the clinically integrated multi-dynamic multi-echo sequence at 1.5 Tesla based on 58 healthy controls (HC). These atlases allow both visual and quantitative comparisons with individual patient data and will be made available to the research community. We validated the atlases using data from four HC and four multiple sclerosis (MS) patients, analyzing both white and gray matter regions. The atlases showed high anatomical accuracy, spatial resolution, and full brain coverage. Significant deviations were observed in MS patients compared to the reference dataset (p < 0.01), while a testing group of HCs closely matched the atlas values. Z-score maps accurately captured lesion patterns and diffuse abnormalities in an individual patient with MS, reflecting early demyelination and tissue damage. These findings demonstrate the clinical potential of our atlases for detecting subtle brain changes.
Indexed as
Identifiers
What OpenQuestion holds
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.