ArticleScientific reports2019
Comparisons between multi-component myelin water fraction, T1w/T2w ratio, and diffusion tensor imaging measures in healthy human brain structures.
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 87 papers, 1 of them a synthesis that pooled it.
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Who cites it
87 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Intensity scaling of conventional brain magnetic resonance images avoiding cerebral reference regions: A systematic review.PloS one · 2024Pooled it
- Differential cerebral white matter tract alterations in generalized anxiety disorder revealed by ultra-high-field 7 T diffusion-weighted imaging.Journal of affective disorders · 2026Article
- The Association of Apparent Myelin Water Fraction With Diffusional Kurtosis and Biophysical Modeling Parameters.NMR in biomedicine · 2026Article
- Distinct spatial associations of adversity with hippocampal macro- and microstructure in early adolescence.bioRxiv : the preprint server for biology · 2026Article
- Graph-Based White Matter Tractometry: Methods, Applications, and the Path to Validation.Neuroinformatics · 2026Review
- Nutrition, Cognition and Learning: The Role of White Matter Development and Connectivity.medRxiv : the preprint server for health sciences · 2026Article
- Cortical and white matter myelination proceed in concert during early infancy.Nature communications · 2026Article
- Quantitative MRI analysis of deep gray matter aging: Volumetric, T1/T2 ratio, and blood perfusion alterations.Neuroimage. Reports · 2026Article
- Assessment of Optimal T1/T2-Weighted Combinations for Myelin Sensitivity: Effects of Echo Time and Exponents.Magnetic resonance in medicine · 2026Article
- T1-weighted/T2-weighted ratio reflects microstructural changes in Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- The cellular correlates and adolescent reorganisation of cortical myelination networks in the common marmoset.Communications biology · 2026Article
- Evaluating the T1w/FLAIR ratio as a proxy for myelin: Associations with myelin water Imaging, diffusion metrics, and cognition.Neuroradiology · 2026Article
- Assessing Age-Associated Influences on Paramagnetic and Diamagnetic Susceptibility Maps in Postmortem Human Brains.NMR in biomedicine · 2026Article
- The T1-Weighted/T2-Weighted Ratio as an In Vivo Proxy for Reduced Intracortical Myelin Content in Youth With RASopathies: A Cross-Sectional Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- The role of modifiable risk factors on the cerebral myelin content and cognition: findings from The Maastricht Study.GeroScience · 2026Article
- Dual-axis myelination covariance drives the functional connectivity emergence during infancy.Nature communications · 2026Article
- Cerebellar Tissue Properties Alterations in Fibromyalgia: A T1w/T2w Ratio Study.Human brain mapping · 2026Article
- Relationship between N100 amplitude and T1w/T2w-ratio in the auditory cortex in schizophrenia spectrum disorders.Schizophrenia (Heidelberg, Germany) · 2026Article
- Advances in multiscale myelin imaging: from classical histology to functional insights.Frontiers in cellular neuroscience · 2026Review
- Myelin water and tensor-valued diffusion imaging: (How) are they related?Magnetic resonance in medicine · 2025Article
27 more citing papers are in PubMed but not listed here.
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Abstract
Various MRI techniques, including myelin water imaging, T1w/T2w ratio mapping and diffusion-based imaging can be used to characterize tissue microstructure. However, surprisingly few studies have examined the degree to which these MRI measures are related within and between various brain regions. Therefore, whole-brain MRI scans were acquired from 31 neurologically-healthy participants to empirically measure and compare myelin water fraction (MWF), T1w/T2w ratio, fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) in 25 bilateral (10 grey matter; 15 white matter) regions-of-interest (ROIs). Except for RD vs. T1w/T2w, MD vs. T1w/T2w, moderately significant to highly significant correlations (p < 0.001) were found between each of the other measures across all 25 brain structures [T1w/T2w vs. MWF (Pearson r = 0.33, Spearman ρ = 0.31), FA vs. MWF (r = 0.73, ρ = 0.75), FA vs. T1w/T2w (r = 0.25, ρ = 0.22), MD vs. AD (r = 0.57, ρ = 0.58), MD vs. RD (r = 0.64, ρ = 0.61), AD vs. MWF (r = 0.43, ρ = 0.36), RD vs. MWF (r = -0.49, ρ = -0.62), MD vs. MWF (r = -0.22, ρ = -0.29), RD vs. FA (r = -0.62, ρ = -0.75) and MD vs. FA (r = -0.22, ρ = -0.18)]. However, while all six MRI measures were correlated with each other across all structures, there were large intra-ROI and inter-ROI differences (i.e., with no one measure consistently producing the highest or lowest values). This suggests that each quantitative MRI measure provides unique, and potentially complimentary, information about underlying brain tissues - with each metric offering unique sensitivity/specificity tradeoffs to different microstructural properties (e.g., myelin content, tissue density, etc.).
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