Literature DB >> 30005917

Intra- and extra-axonal axial diffusivities in the white matter: Which one is faster?

Nicolas Kunz1, Analina R da Silva1, Ileana O Jelescu2.   

Abstract

A two-compartment model of diffusion in white matter, which accounts for intra- and extra-axonal spaces, is associated with two plausible mathematical scenarios: either the intra-axonal axial diffusivity Da,‖ is higher than the extra-axonal De,‖ (Branch 1), or the opposite, i.e. Da,‖ < De,‖ (Branch 2). This duality calls for an independent validation of compartment axial diffusivities, to determine which of the two cases holds. The aim of the present study was to use an intracerebroventricular injection of a gadolinium-based contrast agent to selectively reduce the extracellular water signal in the rat brain, and compare diffusion metrics in the genu of the corpus callosum before and after gadolinium infusion. The diffusion metrics considered were diffusion and kurtosis tensor metrics, as well as compartment-specific estimates of the WMTI-Watson two-compartment model. A strong decrease in genu T1 and T2 relaxation times post-Gd was observed (p < 0.001), as well as an increase of 48% in radial kurtosis (p < 0.05), which implies that the relative fraction of extracellular water signal was selectively decreased. This was further supported by a significant increase in intra-axonal water fraction as estimated from the two-compartment model, for both branches (p < 0.01 for Branch 1, p < 0.05 for Branch 2). However, pre-Gd estimates of axon dispersion in Branch 1 agreed better with literature than those of Branch 2. Furthermore, comparison of post-Gd changes in diffusivity and dispersion between data and simulations further supported Branch 1 as the biologically plausible solution, i.e. Da,‖ > De,‖. This result is fully consistent with other recent measurements of compartment axial diffusivities that used entirely different approaches, such as diffusion tensor encoding.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Compartment diffusivities; Diffusion MRI; Duality; Modeling; White matter

Mesh:

Substances:

Year:  2018        PMID: 30005917     DOI: 10.1016/j.neuroimage.2018.07.020

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  14 in total

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Review 2.  Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis.

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5.  Diffusion MRI biomarkers of white matter microstructure vary nonmonotonically with increasing cerebral amyloid deposition.

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6.  Triple diffusion encoding MRI predicts intra-axonal and extra-axonal diffusion tensors in white matter.

Authors:  Sudhir Ramanna; Hunter G Moss; Emilie T McKinnon; Essa Yacoub; Joseph A Helpern; Jens H Jensen
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Review 7.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

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Authors:  Jeremy J Flint; Kannan Menon; Brian Hansen; John Forder; Stephen J Blackband
Journal:  Neuroimage       Date:  2020-05-31       Impact factor: 6.556

9.  Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction.

Authors:  Elizabeth Huber; Aviv Mezer; Jason D Yeatman
Journal:  Neuroimage       Date:  2021-08-04       Impact factor: 7.400

10.  Relevance of time-dependence for clinically viable diffusion imaging of the spinal cord.

Authors:  Francesco Grussu; Andrada Ianuş; Carmen Tur; Ferran Prados; Torben Schneider; Enrico Kaden; Sébastien Ourselin; Ivana Drobnjak; Hui Zhang; Daniel C Alexander; Claudia A M Gandini Wheeler-Kingshott
Journal:  Magn Reson Med       Date:  2018-09-05       Impact factor: 4.668

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