1H NMR spectroscopy of rat brain in vivo at 14.1Tesla: improvements in quantification of the neurochemical profile.

Détails

ID Serval
serval:BIB_B3A1D8553AC1
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
1H NMR spectroscopy of rat brain in vivo at 14.1Tesla: improvements in quantification of the neurochemical profile.
Périodique
Journal of Magnetic Resonance
Auteur⸱e⸱s
Mlynárik V., Cudalbu C., Xin L., Gruetter R.
ISSN
1096-0856 (Electronic)
ISSN-L
1090-7807
Statut éditorial
Publié
Date de publication
2008
Volume
194
Numéro
2
Pages
163-168
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
Ultra-short echo-time proton single voxel spectra of rat brain were obtained on a 14.1T 26 cm horizontal bore system. At this field, the fitted linewidth in the brain tissue of adult rats was about 11 Hz. New, separated resonances ascribed to phosphocholine, glycerophosphocholine and N-acetylaspartate were detected for the first time in vivo in the spectral range of 4.2-4.4 ppm. Moreover, improved separation of the resonances of lactate, alanine, gamma-aminobutyrate, glutamate and glutathione was observed. Metabolite concentrations were estimated by fitting in vivo spectra to a linear combination of simulated spectra of individual metabolites and a measured spectrum of macromolecules (LCModel). The calculated concentrations of metabolites were generally in excellent agreement with those obtained at 9.4T. These initial results further indicated that increasing magnetic field strength to 14.1T enhanced spectral resolution in (1)H NMR spectroscopy. This implies that the quantification of the neurochemical profile in rodent brain can be achieved with improved accuracy and precision.
Mots-clé
Algorithms, Animals, Aspartic Acid/analogs & derivatives, Aspartic Acid/analysis, Brain/metabolism, Magnetic Resonance Spectroscopy/methods, Male, Phosphorylcholine/analysis, Protons, Rats, Rats, Sprague-Dawley, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted
Pubmed
Web of science
Création de la notice
04/08/2010 16:28
Dernière modification de la notice
20/08/2019 16:22
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