Literature DB >> 14755655

Regional variations in normal brain shown by quantitative magnetization transfer imaging.

J G Sled1, I Levesque, A C Santos, S J Francis, S Narayanan, S D Brass, D L Arnold, G B Pike.   

Abstract

A quantitative magnetization transfer imaging (qMTI) study, based on a two-pool model of magnetization transfer, was performed on seven normal subjects to determine, on a regional basis, normal values for the pool sizes, exchange, and relaxation parameters that characterize the MT phenomenon. Regions were identified on high-resolution anatomical scans using a combination of manual and automatic methods. Only voxels identified as pure tissue at the resolution of the quantitative scans were considered for analysis. While no left/right differences were observed, significant differences were found among white-matter regions and gray-matter regions. These regional differences were compared with existing cytoarchitectural data. In addition, the pattern and magnitude of the regional differences observed in white matter was found to be different from that reported previously for an alternative putative MRI measure of myelination, the 10-50-ms T2 component described as myelin water. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 14755655     DOI: 10.1002/mrm.10701

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


  31 in total

Review 1.  Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging.

Authors:  Jeffrey R Wozniak; Kelvin O Lim
Journal:  Neurosci Biobehav Rev       Date:  2006-08-07       Impact factor: 8.989

2.  Quantitative magnetization transfer imaging via selective inversion recovery with short repetition times.

Authors:  Daniel F Gochberg; John C Gore
Journal:  Magn Reson Med       Date:  2007-02       Impact factor: 4.668

Review 3.  Magnetic resonance imaging of myelin.

Authors:  Cornelia Laule; Irene M Vavasour; Shannon H Kolind; David K B Li; Tony L Traboulsee; G R Wayne Moore; Alex L MacKay
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

Review 4.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

5.  Atlas-based investigation of human brain tissue microstructural spatial heterogeneity and interplay between transverse relaxation time and radial diffusivity.

Authors:  Indika S Walimuni; Khader M Hasan
Journal:  Neuroimage       Date:  2011-05-30       Impact factor: 6.556

6.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

7.  Myelin volume fraction imaging with MRI.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Daniel F Gochberg; Kevin C Ess; Mark D Does
Journal:  Neuroimage       Date:  2016-12-23       Impact factor: 6.556

8.  Edaravone reduces astrogliosis and apoptosis in young rats with kaolin-induced hydrocephalus.

Authors:  Camila Araújo Bernardino Garcia; Carlos Henrique Rocha Catalão; Hélio Rubens Machado; Ivair Matias Júnior; Thais Helena Romeiro; José Eduardo Peixoto-Santos; Marcelo Volpon Santos; Luiza da Silva Lopes
Journal:  Childs Nerv Syst       Date:  2016-12-17       Impact factor: 1.475

9.  Optimization of selective inversion recovery magnetization transfer imaging for macromolecular content mapping in the human brain.

Authors:  Richard D Dortch; Francesca Bagnato; Daniel F Gochberg; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2018-03-24       Impact factor: 4.668

10.  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

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