Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

TL;DR

This paper introduces NEXI, a minimal diffusion MRI model for gray matter that incorporates water exchange across cell membranes, providing new insights into microstructure and exchange times in vivo.

Contribution

The paper extends the standard diffusion model to include water exchange, non-Gaussian diffusion, and soma contributions, specifically tailored for gray matter microstructure mapping.

Findings

NEXI fits gray matter diffusion data well across multiple b and t values.

Estimated water exchange times are 15-60 ms in rat cortex and hippocampus.

Water exchange significantly influences diffusion MRI signals in gray matter.

Abstract

Biophysical models of diffusion in white matter are based on what is now commonly referred to as the "Standard Model" (SM) of non-exchanging anisotropic Gaussian compartments. 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: 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 K\"arger model of two exchanging compartments. Using datasets acquired at multiple diffusion weightings (b) and diffusion times (t) in the rat brain in vivo, we show that for the investigated diffusion time window (~10-45 ms) there is minimal diffusivity time-dependence and more pronounced kurtosis decay with time in gray matter, 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 acquisitions 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.