Literature DB >> 25862261

Orientation dependence of magnetization transfer parameters in human white matter.

André Pampel1, Dirk K Müller2, Alfred Anwander3, Henrik Marschner4, Harald E Möller5.   

Abstract

Quantification of magnetization-transfer (MT) experiments is typically based on a model comprising a liquid pool "a" of free water and a semisolid pool "b" of motionally restricted macromolecules or membrane compounds. By a comprehensive fitting approach, high quality MT parameter maps of the human brain are obtained. In particular, a distinct correlation between the diffusion-tensor orientation with respect to the B0-magnetic field and the apparent transverse relaxation time, T2(b), of the semisolid pool (i.e., the width of its absorption line) is observed. This orientation dependence is quantitatively explained by a refined dipolar lineshape for pool b that explicitly considers the specific geometrical arrangement of lipid bilayers wrapped around a cylindrical axon. The model inherently reduces the myelin membrane to its lipid constituents, which is motivated by previous studies on efficient interaction sites (e.g., cholesterol or galactocerebrosides) in the myelin membrane and on the origin of ultrashort T2 signals in cerebral white matter. The agreement between MT orientation effects and corresponding forward simulations using empirical diffusion imaging results as input as well as results from fits employing the novel lineshape support previous suggestions that the fiber orientation distribution in a voxel can be modeled as a scaled Bingham distribution.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Absorption lineshape; Anisotropy; Bingham distribution function; Cerebral white matter; Fiber orientation distribution; Orientation dependence; Quantitative magnetization-transfer imaging; Super-Lorentzian lineshape

Mesh:

Year:  2015        PMID: 25862261     DOI: 10.1016/j.neuroimage.2015.03.068

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


  10 in total

1.  Spectral characteristics of semisolid protons in human brain white matter at 7 T.

Authors:  Xu Jiang; Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2017-02-02       Impact factor: 4.668

Review 2.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

3.  The impact of fibre orientation on T1-relaxation and apparent tissue water content in white matter.

Authors:  Felix Schyboll; Uwe Jaekel; Bernd Weber; Heiko Neeb
Journal:  MAGMA       Date:  2018-02-20       Impact factor: 2.310

4.  High-resolution three-dimensional macromolecular proton fraction mapping for quantitative neuroanatomical imaging of the rodent brain in ultra-high magnetic fields.

Authors:  Anna V Naumova; Andrey E Akulov; Marina Yu Khodanovich; Vasily L Yarnykh
Journal:  Neuroimage       Date:  2016-09-17       Impact factor: 6.556

5.  A hybrid numeric-analytic solution for pulsed CEST.

Authors:  Christopher L Lankford; Elizabeth A Louie; Zhongliang Zu; Mark D Does; Daniel F Gochberg
Journal:  NMR Biomed       Date:  2021-10-11       Impact factor: 4.478

6.  Rapid measurement of brain macromolecular proton fraction with transient saturation transfer MRI.

Authors:  Peter van Gelderen; Xu Jiang; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2016-06-25       Impact factor: 4.668

7.  Magnetization transfer and frequency distribution effects in the SSFP ellipse.

Authors:  Tobias C Wood; Rui P A G Teixeira; Shaihan J Malik
Journal:  Magn Reson Med       Date:  2019-12-24       Impact factor: 4.668

8.  Parallel transmit pulse design for saturation homogeneity (PUSH) for magnetization transfer imaging at 7T.

Authors:  David Leitão; Raphael Tomi-Tricot; Pip Bridgen; Tom Wilkinson; Patrick Liebig; Rene Gumbrecht; Dieter Ritter; Sharon L Giles; Ana Baburamani; Jan Sedlacik; Joseph V Hajnal; Shaihan J Malik
Journal:  Magn Reson Med       Date:  2022-03-10       Impact factor: 3.737

9.  Multi-parametric quantitative MRI reveals three different white matter subtypes.

Authors:  Jack R Foucher; Olivier Mainberger; Julien Lamy; Mathieu D Santin; Alexandre Vignaud; Mathilde M Roser; Paulo L de Sousa
Journal:  PLoS One       Date:  2018-06-15       Impact factor: 3.240

10.  Myelin water imaging depends on white matter fiber orientation in the human brain.

Authors:  Christoph Birkl; Jonathan Doucette; Michael Fan; Enedino Hernández-Torres; Alexander Rauscher
Journal:  Magn Reson Med       Date:  2020-10-05       Impact factor: 4.668

  10 in total

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