ArticleImaging neuroscience (Cambridge, Mass.)2023
Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping.
Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Mapping the aggregate g-ratio of white matter tracts using multi-modal MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A multi-compartment model for pathological connectomes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography.Network neuroscience (Cambridge, Mass.) · 2024Article
- The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts.Network neuroscience (Cambridge, Mass.) · 2023Article
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9 authors.
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Abstract
We present a novel dual-encoded magnetization transfer (MT) and diffusion-weighted sequence and demonstrate its potential to resolve distinct properties of white matter fiber tracts at the sub-voxel level. The sequence was designed and optimized for maximal MT ratio (MTR) efficiency. The resulting whole brain 2.6 mm isotropic protocol to measure tract-specific MTR has a scan time under 7 minutes. Ten healthy subjects were scanned twice to assess repeatability. Two different analysis methods were contrasted: a technique to extract tract-specific MTR using Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT), a global optimization technique; and conventional MTR tractometry. The results demonstrate that the tract-specific method can reliably resolve the MT ratios of major white matter fiber pathways and is less affected by partial volume effects than conventional multi-modal tractometry. By reducing the contamination due to partial volume averaging of tracts, dual-encoded MT and diffusion may increase the sensitivity to microstructure alterations of specific tracts due to disease, aging, or learning, as well as lead to weighted structural connectomes with more anatomical specificity.
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