Journal
NEUROIMAGE
Volume 256, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2022.119277
Keywords
Diffusion MRI; Microstructure; Gray matter; Cortex; Exchange; Cell membrane permeability
Funding
- Lausanne University Hospital (CHUV)
- University of Lausanne (UNIL)
- Ecole Polytechnique Federale de Lausanne (EPFL)
- University of Geneva (UNIGE)
- Geneva University Hospitals (HUG)
- SNSF Eccellenza Fellowship [PCEFP2_194260]
- UKRI Future Leaders Fellowship [MR/T020296/2]
- NIH under NINDS [R01 NS088040]
- Center of Advanced Imaging Innovation and Research (CAI2 R), a NIBIB Biomedical Technology Resource Center [P41 EB017183]
- Swiss National Science Foundation (SNF) [PCEFP2_194260] Funding Source: Swiss National Science Foundation (SNF)
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Research focuses on diffusion MRI in gray matter, proposing Neurite Exchange Imaging (NEXI) as a more suitable model, with in vivo experiments showing the essential role of water exchange in interpreting diffusion MRI measurements in gray matter.
Biophysical models of diffusion in white matter have been center-stage over the past two decades and are essentially based on what is now commonly referred to as the Standard Model (SM) of non-exchanging anisotropic compartments with Gaussian diffusion. In this work, we focus on diffusion MRI in gray matter, which requires rethinking basic microstructure modeling blocks. In particular, at least three contributions beyond the SM need to be considered for gray matter: water exchange across the cell membrane - between neurites and the extracellular space; non-Gaussian diffusion along neuronal and glial processes - resulting from structural disorder; and signal contribution from soma. For the first contribution, we propose Neurite Exchange Imaging (NEXI) as an extension of the SM of diffusion, which builds on the anisotropic Karger model of two exchanging compartments. Using datasets acquired at multiple diffusion weightings (b) and diffusion times (t) in the rat brain in vivo, we investigate the suitability of NEXI to describe the diffusion signal in the gray matter, compared to the other two possible contributions. Our results for the diffusion time window 20-45 ms show minimal diffusivity time-dependence and more pronounced kurtosis decay with time, which is well fit by the exchange model. Moreover, we observe lower signal for longer diffusion times at high b. In light of these observations, we identify exchange as the mechanism that best explains these signal signatures in both low-b and high-b regime, and thereby propose NEXI as the minimal model for gray matter microstructure mapping. We finally highlight multi-b multi-t acquisition protocols as being best suited to estimate NEXI model parameters reliably. Using this approach, we estimate the inter-compartment water exchange time to be 15 - 60 ms in the rat cortex and hippocampus in vivo, which is of the same order or shorter than the diffusion time in typical diffusion MRI acquisitions. This suggests water exchange as an essential component for interpreting diffusion MRI measurements in gray matter.
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