Literature DB >> 23794120

Microstructural organization of axons in the human corpus callosum quantified by diffusion-weighted magnetic resonance spectroscopy of N-acetylaspartate and post-mortem histology.

Itamar Ronen1, Matthew Budde, Ece Ercan, Jacopo Annese, Aranee Techawiboonwong, Andrew Webb.   

Abstract

Diffusion-weighted magnetic resonance spectroscopy of brain metabolites offers unique access to compartment-specific microstructural information on neural tissue. Here, we investigated in detail the diffusion characteristics of the neuronal/axonal markers N-acetylaspartate + N-acetyl aspartyl glutamate (tNAA) in a small region of the human corpus callosum at 7 T. The diffusion-weighted spectroscopy data were analyzed by fitting to a model in which information about cross-callosal tract orientation within the spectroscopy volume, obtained from diffusion tensor imaging data, was incorporated. We estimated the microscopic misalignment of axons (σ φ  = 18.6° ± 3.0°) in excellent agreement with independent histological results (σ φ  = 18.1° ± 4.6°) obtained from microscopic analysis of axonal orientations in the body of the corpus callosum from post-mortem human brain slices. We also robustly quantified the diffusion coefficient of tNAA (0.51 ± 0.06 × 10(-3) mm(2)/s) in axonal cytoplasm, unbiased by the tract curvature. This work supports the notion that microscopic axonal misalignment is a dominant microstructural property in white matter tracts and has a strong impact on the evaluation of tissue microstructure using diffusion information, and should therefore be taken into consideration in the evaluation of white matter microstructure. Additionally, this study enabled robust and unbiased assessment of the cytosolic diffusion coefficient of tNAA, a potential biomarker for axonopathy and neuronal degeneration.

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Year:  2013        PMID: 23794120     DOI: 10.1007/s00429-013-0600-0

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  35 in total

1.  Fitting interrelated datasets: metabolite diffusion and general lineshapes.

Authors:  Victor Adalid; André Döring; Sreenath Pruthviraj Kyathanahally; Christine Sandra Bolliger; Chris Boesch; Roland Kreis
Journal:  MAGMA       Date:  2017-04-05       Impact factor: 2.310

2.  Assessing the accuracy of using oscillating gradient spin echo sequences with AxCaliber to infer micron-sized axon diameters.

Authors:  Morgan Mercredi; Trevor J Vincent; Christopher P Bidinosti; Melanie Martin
Journal:  MAGMA       Date:  2016-07-13       Impact factor: 2.310

3.  Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.

Authors:  Carl-Fredrik Westin; Hans Knutsson; Ofer Pasternak; Filip Szczepankiewicz; Evren Özarslan; Danielle van Westen; Cecilia Mattisson; Mats Bogren; Lauren J O'Donnell; Marek Kubicki; Daniel Topgaard; Markus Nilsson
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

4.  Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?

Authors:  Kurt Schilling; Yurui Gao; Vaibhav Janve; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  NMR Biomed       Date:  2017-09-15       Impact factor: 4.044

5.  AxTract: Toward microstructure informed tractography.

Authors:  Gabriel Girard; Alessandro Daducci; Laurent Petit; Jean-Philippe Thiran; Kevin Whittingstall; Rachid Deriche; Demian Wassermann; Maxime Descoteaux
Journal:  Hum Brain Mapp       Date:  2017-08-02       Impact factor: 5.038

6.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

7.  One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?

Authors:  Ileana O Jelescu; Jelle Veraart; Vitria Adisetiyo; Sarah S Milla; Dmitry S Novikov; Els Fieremans
Journal:  Neuroimage       Date:  2014-12-09       Impact factor: 6.556

8.  Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI.

Authors:  Dmitry S Novikov; Jelle Veraart; Ileana O Jelescu; Els Fieremans
Journal:  Neuroimage       Date:  2018-03-12       Impact factor: 6.556

9.  Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue.

Authors:  Ileana O Jelescu; Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  NMR Biomed       Date:  2015-11-29       Impact factor: 4.044

10.  The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).

Authors:  Filip Szczepankiewicz; Danielle van Westen; Elisabet Englund; Carl-Fredrik Westin; Freddy Ståhlberg; Jimmy Lätt; Pia C Sundgren; Markus Nilsson
Journal:  Neuroimage       Date:  2016-07-20       Impact factor: 6.556

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