ArticleImaging neuroscience (Cambridge, Mass.)2024
Robust frequency-dependent diffusional kurtosis computation using an efficient direction scheme, axisymmetric modelling, and spatial regularization.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Complementary Sensitivity of Fixed-Time and Fixed-Oscillation Regimes to Exchange and Structural Disorder in the Human Brain Revealed Using Oscillating-Gradient Diffusion MRI With Ultra-Strong Gradients.Magnetic resonance in medicine · 2026Article
- Non-monotonic time- and frequency-dependent diffusion kurtosis in the human brain revealed by pulsed and oscillating gradient experiments.Magnetic resonance in medicine · 2025Article
- MRI investigation of orientation-dependent changes in microstructure and function in a mouse model of mild traumatic brain injury.Acta neuropathologica communications · 2025Article
- Microstructural maturation of the adult mouse brain.Communications biology · 2025Article
- Revealing membrane integrity and cell size from diffusion kurtosis time dependence.Magnetic resonance in medicine · 2025Article
- Variability of multidimensional diffusion-relaxation MRI estimates in the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frequency-dependent diffusion MRI (dMRI) using oscillating gradient encoding and diffusional kurtosis imaging (DKI) techniques have been shown to provide additional insight into tissue microstructure compared to conventional dMRI. However, a technical challenge when combining these techniques is that the generation of the large b-values (≥2000 s/mm
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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.