Literature DB >> 11675635

Characterization of the macromolecule baseline in localized (1)H-MR spectra of human brain.

L Hofmann1, J Slotboom, C Boesch, R Kreis.   

Abstract

Short-echo-time magnetic resonance spectra of human brain contain broad contributions from macromolecules. As they are a priori of unknown shape and intensity, they pose a problem if one wants to quantitate the overlying spectral features from low-molecular-weight metabolites. On the other hand, the macromolecular contributions may provide relevant clinical information themselves, if properly evaluated. Several methods, based on T(1), T(2), or spectral shape, have previously been suggested to suppress or edit the macromolecule contributions. Here, a method is presented based on a series of saturation recovery scans and that allows for simultaneous recording of the macromolecular baseline and the fully relaxed metabolite spectrum. In comparison to an inversion recovery technique aimed at nulling signals from long-T(1) components, the saturation recovery method is less susceptible to T(1) differences inherent in signals from different metabolites or introduced by pathology. The saturation recovery method was used to quantitate the macromolecular baseline in white and/or gray matter locations of the human brain in 40 subjects. It was found that the content and composition of MR visible macromolecules depends on cerebral location, as well as the age of the investigated subject, while no gender dependence could be found. Copyright 2001 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11675635     DOI: 10.1002/mrm.1269

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


  39 in total

1.  Volume-selective 1H MR spectroscopy for in vivo detection of valproate in patients with epilepsy.

Authors:  S Seyfert; J Bernarding; J Braun
Journal:  Neuroradiology       Date:  2003-03-27       Impact factor: 2.804

2.  Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets.

Authors:  Daniel G Q Chong; Roland Kreis; Christine S Bolliger; Chris Boesch; Johannes Slotboom
Journal:  MAGMA       Date:  2011-03-20       Impact factor: 2.310

3.  Soft constraints in nonlinear spectral fitting with regularized lineshape deconvolution.

Authors:  Yan Zhang; Jun Shen
Journal:  Magn Reson Med       Date:  2012-05-22       Impact factor: 4.668

Review 4.  Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

Authors:  Danielle Graveron-Demilly
Journal:  MAGMA       Date:  2013-07-28       Impact factor: 2.310

5.  Comparison of brain gray and white matter macromolecule resonances at 3 and 7 Tesla.

Authors:  Karim Snoussi; Joseph S Gillen; Alena Horska; Nicolaas A J Puts; Subechhya Pradhan; Richard A E Edden; Peter B Barker
Journal:  Magn Reson Med       Date:  2014-09-22       Impact factor: 4.668

6.  Frontal lobe γ-aminobutyric acid levels during adolescence: associations with impulsivity and response inhibition.

Authors:  Marisa M Silveri; Jennifer T Sneider; David J Crowley; Michael J Covell; Deepa Acharya; Isabelle M Rosso; J Eric Jensen
Journal:  Biol Psychiatry       Date:  2013-03-14       Impact factor: 13.382

7.  Comment on "Magnetic resonance spectroscopy identifies neural progenitor cells in the live human brain".

Authors:  Seth D Friedman
Journal:  Science       Date:  2008-08-01       Impact factor: 47.728

8.  Edited magnetic resonance spectroscopy detects an age-related decline in brain GABA levels.

Authors:  Fei Gao; Richard A E Edden; Muwei Li; Nicolaas A J Puts; Guangbin Wang; Cheng Liu; Bin Zhao; Huiquan Wang; Xue Bai; Chen Zhao; Xin Wang; Peter B Barker
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

9.  Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity.

Authors:  Hong Gu; Yuzheng Hu; Xi Chen; Yong He; Yihong Yang
Journal:  Neuroimage       Date:  2018-10-22       Impact factor: 6.556

Review 10.  Current practice in the use of MEGA-PRESS spectroscopy for the detection of GABA.

Authors:  Paul G Mullins; David J McGonigle; Ruth L O'Gorman; Nicolaas A J Puts; Rishma Vidyasagar; C John Evans; Richard A E Edden
Journal:  Neuroimage       Date:  2012-12-13       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.