Literature DB >> 10680682

Assignment of the water slow-diffusing component in the central nervous system using q-space diffusion MRS: implications for fiber tract imaging.

Y Assaf1, Y Cohen.   

Abstract

Diffusion-weighted NMR spectroscopy (MRS) was performed on isolated bovine optic nerve and rat brain (in vitro) to characterize the multiexponential water signal decay in diffusion experiments. q-Space analysis of the diffusion data was used to obtain structural information about the investigated neuronal tissues. This analysis provided displacement distribution profiles of the water in the sample. Two diffusing components were identified from these profiles, thus enabling us to obtain the following information about the slow decaying component: 1) displacement of this component is restricted to a diffusing distance of approximately 2 microm; 2) it has a longer T2 than the rapidly diffusing component; and 3) the population fraction of this component depends on the orientation of the nerve fiber. When the diffusion was measured perpendicular to the long axis of the bovine optic nerve, the weighting of this population was 41 +/- 2%, whereas parallel to the long axis of the nerve it was found to be 14 +/- 2%. In the randomly oriented brain tissue, the population of this component was only 7 +/- 3%. These observations led to the conclusion that the slow-decaying component originates mainly from restricted water diffusion in the neuronal fibers. In view of these findings, in vitro and in situ diffusion-weighted images with high b values (with long delta) were acquired to obtain highly detailed images of white matter fiber tracts in the central nervous system. These images provide detailed information on white matter fiber tract location and allow spinal cord maturation to be followed with high accuracy.

Entities:  

Mesh:

Year:  2000        PMID: 10680682     DOI: 10.1002/(sici)1522-2594(200002)43:2<191::aid-mrm5>3.0.co;2-b

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  51 in total

1.  q-space and conventional diffusion imaging of axon and myelin damage in the rat spinal cord after axotomy.

Authors:  Jonathan A D Farrell; Jiangyang Zhang; Melina V Jones; Cynthia A Deboy; Paul N Hoffman; Bennett A Landman; Seth A Smith; Daniel S Reich; Peter A Calabresi; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

2.  Effect of diffusion-sensitizing gradient timings on the exponential, biexponential and diffusional kurtosis model parameters: in-vivo measurements in the rat thalamus.

Authors:  Ludovico Minati; Ileana Zucca; Gabriella Carcassola; Michele Occhipinti; Roberto Spreafico; Maria Grazia Bruzzone
Journal:  MAGMA       Date:  2010-04-08       Impact factor: 2.310

3.  Diffusion kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury.

Authors:  Jiachen Zhuo; Su Xu; Julie L Proctor; Roger J Mullins; Jonathan Z Simon; Gary Fiskum; Rao P Gullapalli
Journal:  Neuroimage       Date:  2011-07-30       Impact factor: 6.556

4.  Diffusion-tensor MR imaging of the brain in human immunodeficiency virus-positive patients.

Authors:  Majda M Thurnher; Mauricio Castillo; Alfred Stadler; Armin Rieger; Brigitte Schmid; Pia C Sundgren
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

5.  Hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  Neuroimage       Date:  2007-03-24       Impact factor: 6.556

Review 6.  Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review.

Authors:  Yaniv Assaf; Ofer Pasternak
Journal:  J Mol Neurosci       Date:  2008       Impact factor: 3.444

7.  Computation of diffusion function measures in q-space using magnetic resonance hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Aaron S Field; Andrew L Alexander
Journal:  IEEE Trans Med Imaging       Date:  2008-06       Impact factor: 10.048

8.  Biexponential analysis of diffusion-related signal decay in normal human cortical and deep gray matter.

Authors:  Stephan E Maier; Robert V Mulkern
Journal:  Magn Reson Imaging       Date:  2008-05-07       Impact factor: 2.546

9.  The effect of the diffusion time and pulse gradient duration ratio on the diffraction pattern and the structural information estimated from q-space diffusion MR: experiments and simulations.

Authors:  Amnon Bar-Shir; Liat Avram; Evren Ozarslan; Peter J Basser; Yoram Cohen
Journal:  J Magn Reson       Date:  2008-07-15       Impact factor: 2.229

10.  Assessment of the effects of cellular tissue properties on ADC measurements by numerical simulation of water diffusion.

Authors:  Kevin D Harkins; Jean-Philippe Galons; Timothy W Secomb; Theodore P Trouard
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.