Literature DB >> 28495635

Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites?

Marco Palombo1, Clemence Ligneul2, Edwin Hernandez-Garzon2, Julien Valette2.   

Abstract

Prior models used to clarify which aspects of tissue microstructure mostly affect intracellular diffusion and corresponding diffusion-weighted magnetic resonance (DW-MR) signal have focused on relatively simple geometrical descriptions of the cellular microenvironment (spheres, randomly oriented cylinders, etc…), neglecting finer morphological details which may have an important role. Some types of neurons present high density of spines; and astrocytes and macroglial cells processes present leaflets, which may all impact the diffusion process. Here, we use Monte-Carlo simulations of many particles diffusing in cylindrical compartments with secondary structures mimicking spines and leaflets of neuronal and glial cell fibers, to investigate to what extent the diffusion-weighted signal of intracellular molecules is sensitive to spines/leaflets density and length. In order to study the specificity of DW-MR signal to these kinds of secondary structures, beading-like geometry is simulated as "control" deviation from smooth cylinder too. Results suggest that: a) the estimated intracellular tortuosity increases as spines/leaflets density or length (beading amplitude) increase; b) the tortuosity limit is reached for diffusion time td>200 ms for metabolites and td>70 ms for water molecules, suggesting that the effects of these finer morphological details are negligible at td longer than these threshold values; c) fiber diameter is overestimated, while intracellular diffusivity is underestimated, when simple geometrical models based on hollow smooth cylinders are used; d) apparent surface-to-volume, S/V, ratio estimated by linear fit of high frequency OG data appears to be an excellent estimation of the actual S/V ratio, even in the presence of secondary structures, and it increases as spines and leaflets density or length increase (while decreasing as beadings amplitude increases). Comparison between numerical simulations and multimodal metabolites DW-MRS experiments in vivo in mouse brain shows that these fine structures may affect the DW-MRS signal and the derived diffusion metrics consistently with their expected density and geometrical features. This work suggests that finer structures of cell morphology have non-negligible effects on intracellular molecules' diffusion that may be measured by using multimodal DW-MRS approaches, stimulating future developments and applications.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain microstructure; Cell morphology; Diffusion-weighted NMR; Diffusion-weighted NMR imaging; Diffusion-weighted NMR spectroscopy; Metabolite diffusion

Mesh:

Year:  2017        PMID: 28495635     DOI: 10.1016/j.neuroimage.2017.05.003

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


  14 in total

1.  Changes in the intracellular microenvironment in the aging human brain.

Authors:  Dinesh K Deelchand; J Riley McCarten; Laura S Hemmy; Edward J Auerbach; Lynn E Eberly; Małgorzata Marjańska
Journal:  Neurobiol Aging       Date:  2020-07-25       Impact factor: 4.673

Review 2.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

Review 3.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation.

Authors:  Dmitry S Novikov; Els Fieremans; Sune N Jespersen; Valerij G Kiselev
Journal:  NMR Biomed       Date:  2018-10-15       Impact factor: 4.044

4.  Glutamate diffusion in the rat brain in vivo under light and deep anesthesia conditions.

Authors:  Xi Chen; Siddartha M Tamang; Fei Du; Dost Ongur
Journal:  Magn Reson Med       Date:  2019-03-12       Impact factor: 4.668

5.  Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.

Authors:  Gaëtan Rensonnet; Benoît Scherrer; Gabriel Girard; Aleksandar Jankovski; Simon K Warfield; Benoît Macq; Jean-Philippe Thiran; Maxime Taquet
Journal:  Neuroimage       Date:  2018-09-30       Impact factor: 6.556

6.  In vivo diffusion-weighted MRS using semi-LASER in the human brain at 3 T: Methodological aspects and clinical feasibility.

Authors:  Guglielmo Genovese; Małgorzata Marjańska; Edward J Auerbach; Lydia Yahia Cherif; Itamar Ronen; Stéphane Lehéricy; Francesca Branzoli
Journal:  NMR Biomed       Date:  2020-01-13       Impact factor: 4.044

7.  Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images.

Authors:  Hong-Hsi Lee; Els Fieremans; Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-12-03       Impact factor: 2.390

Review 8.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

Authors:  Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-10-21       Impact factor: 2.390

9.  Brain Metabolite Diffusion from Ultra-Short to Ultra-Long Time Scales: What Do We Learn, Where Should We Go?

Authors:  Julien Valette; Clémence Ligneul; Charlotte Marchadour; Chloé Najac; Marco Palombo
Journal:  Front Neurosci       Date:  2018-01-19       Impact factor: 4.677

10.  Revisiting double diffusion encoding MRS in the mouse brain at 11.7T: Which microstructural features are we sensitive to?

Authors:  Mélissa Vincent; Marco Palombo; Julien Valette
Journal:  Neuroimage       Date:  2019-11-25       Impact factor: 6.556

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