ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2024
The Diffusion Exchange Ratio (DEXR): A minimal sampling of diffusion exchange spectroscopy to probe exchange, restriction, and time-dependence.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Localization-driven exchange contrast in diffusion exchange spectroscopy.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2026Article
- Steady-state water exchange in neural tissue is primarily passive and through the phospholipid bilayer.bioRxiv : the preprint server for biology · 2026Article
- Passive water exchange between multiple sites can explain why apparent exchange rate constants depend on ionic and osmotic conditions in gray matter.Magnetic resonance letters · 2026Article
- Article
- Quantifying Transmembrane Water Exchange by Diffusion NMR Methods: From Yeast Cells to Optic Nerve Ex Vivo.NMR in biomedicine · 2026Article
- Validation of diffusion and exchange imaging biomarkers via simultaneous real-time NMR and optical microscopy.bioRxiv : the preprint server for biology · 2025Article
- Mapping structures and dynamics with frequency-correlated diffusion exchange.Science advances · 2025Article
- Revisiting classical diffusion magnetic resonance methods as a means to measure time-dependent diffusion.Magnetic resonance letters · 2025Article
- Passive water exchange between multiple sites can explain why apparent exchange rate constants depend on ionic and osmotic conditions in gray matter.bioRxiv : the preprint server for biology · 2025Article
- Measuring the velocity autocorrelation function using diffusion NMR.The Journal of chemical physics · 2025Article
- Diffusion power spectra as a window into dynamic materials architecture.Science advances · 2025Article
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4 authors.
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Abstract
Water exchange is increasingly recognized as an important biological process that can affect the study of biological tissue using diffusion MR. Methods to measure exchange, however, remain immature as opposed to those used to characterize restriction, with no consensus on the optimal pulse sequence (s) or signal model (s). In general, the trend has been towards data-intensive fitting of highly parameterized models. We take the opposite approach and show that a judicious sub-sample of diffusion exchange spectroscopy (DEXSY) data can be used to robustly quantify exchange, as well as restriction, in a data-efficient manner. This sampling produces a ratio of two points per mixing time: (i) one point with equal diffusion weighting in both encoding periods, which gives maximal exchange contrast, and (ii) one point with the same total diffusion weighting in just the first encoding period, for normalization. We call this quotient the Diffusion EXchange Ratio (DEXR). Furthermore, we show that it can be used to probe time-dependent diffusion by estimating the velocity autocorrelation function (VACF) over intermediate to long times (∼2-500ms). We provide a comprehensive theoretical framework for the design of DEXR experiments in the case of static or constant gradients. Data from Monte Carlo simulations and experiments acquired in fixed and viable ex vivo neonatal mouse spinal cord using a permanent magnet system are presented to test and validate this approach. In viable spinal cord, we report the following apparent parameters from just 6 data points: τ
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