ArticleScientific data2022
Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.Magnetic resonance in medicine · 2026Article
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.Magnetic resonance in medicine · 2026Article
- Axon Diameter Mapping in the Living Human Brain with Ultra-High-Gradient Diffusion MRI at 500 mT/m Gradient Strength.Human brain mapping · 2026Article
- Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Communications biology · 2026Article
- A Nonlinear Single Channel Gradient Insert for Prostate Diffusion Imaging.Magnetic resonance in medicine · 2026Article
- Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales.Nature biomedical engineering · 2026Article
- Implicit neural representations for accurate estimation of the Standard Model of white matter.Communications biology · 2025Article
- Distinct cellular processes drive motor skill learning in the human brain.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal changes in cortical cell body and neurite density in people with multiple sclerosis.Neuroscience · 2025Article
- Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset.Scientific data · 2025Article
- In vivo submillimeter diffusion MRI dataset of 9 macaque brains curated for tractography.Scientific data · 2025Article
- In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects.NeuroImage · 2025Article
- Implicit neural representations for accurate estimation of the standard model of white matter.ArXiv · 2025Article
- Quasi-Diffusion Imaging: Application to Ultra-High b-Value and Time-Dependent Diffusion Images of Brain Tissue.NMR in biomedicine · 2025Article
- Article
- In vivo evidence for cell body loss in cortical lesions in people with multiple sclerosis.Annals of clinical and translational neurology · 2025Article
- Article
- Age-related alterations in human cortical microstructure across the lifespan: Insights from high-gradient diffusion MRI.Aging cell · 2024Article
- Article
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Authors and funding
18 authors.
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Abstract
Strong gradient systems can improve the signal-to-noise ratio of diffusion MRI measurements and enable a wider range of acquisition parameters that are beneficial for microstructural imaging. We present a comprehensive diffusion MRI dataset of 26 healthy participants acquired on the MGH-USC 3 T Connectome scanner equipped with 300 mT/m maximum gradient strength and a custom-built 64-channel head coil. For each participant, the one-hour long acquisition systematically sampled the accessible diffusion measurement space, including two diffusion times (19 and 49 ms), eight gradient strengths linearly spaced between 30 mT/m and 290 mT/m for each diffusion time, and 32 or 64 uniformly distributed directions. The diffusion MRI data were preprocessed to correct for gradient nonlinearity, eddy currents, and susceptibility induced distortions. In addition, scan/rescan data from a subset of seven individuals were also acquired and provided. The MGH Connectome Diffusion Microstructure Dataset (CDMD) may serve as a test bed for the development of new data analysis methods, such as fiber orientation estimation, tractography and microstructural modelling.
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