2011
DOI: 10.1002/nbm.1703
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Rat strain‐dependent variations in brain metabolites detected by in vivo1H NMR spectroscopy at 16.4T

Abstract: Localized in vivo (1) H NMR spectroscopy is playing an increasing role in preclinical studies, because of its ability to quantify the concentrations of up to 20 metabolites in rat brain. To assess the differences between often-used rat strains, the neurochemical profiles of Sprague-Dawley, Wistar and Fischer rats were determined at ultrashort TE at 16.4 T. To ascertain high-qualitative quantification, a first experiment examined the dependence of the measuring time on the quantification results and precision b… Show more

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Cited by 9 publications
(12 citation statements)
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References 22 publications
(22 reference statements)
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“…Especially for relatively abundant metabolites, the quantitative value found was not dependent to a high degree on the SNR, which was the main factor determining the quantification results for almost all metabolites in a previous study in the human brain at 4 T . This indicates that an increase in SNR only improves quantification to a certain degree, in agreement with a previous study demonstrating a decreasing effect of averaging on the CRLBs . As a result of the high SNRs that are reached regularly for most peaks at high field strengths, this limit may already have been reached and further improvements in the quantification accuracy may require a reduction in the linewidth.…”
Section: Discussionsupporting
confidence: 86%
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“…Especially for relatively abundant metabolites, the quantitative value found was not dependent to a high degree on the SNR, which was the main factor determining the quantification results for almost all metabolites in a previous study in the human brain at 4 T . This indicates that an increase in SNR only improves quantification to a certain degree, in agreement with a previous study demonstrating a decreasing effect of averaging on the CRLBs . As a result of the high SNRs that are reached regularly for most peaks at high field strengths, this limit may already have been reached and further improvements in the quantification accuracy may require a reduction in the linewidth.…”
Section: Discussionsupporting
confidence: 86%
“…For the heavily overlapping metabolite pairs Cr/PCr, GPC/PCh, Gln/Glu, Gly/mI and NAA/NAAG, the correlation coefficients were calculated to quantify the interactions between the peaks. For Cr/PCr, the concentration of NAA was used as reference and assumed to be 8.39 µmol/g .…”
Section: Methodsmentioning
confidence: 99%
“…In this study, the goal of differentiating between signals from different brain structures required decreasing the voxel sizes by a factor of up to 3.5 compared to previous studies (7, 8) to avoid partial volume effects. Combined with the well‐established double localization scheme, combining OVS with STEAM volume selection, this made it possible to acquire spectra with negligible lipid contamination as well as minimal partial volume effects in all examined brain regions.…”
Section: Discussionmentioning
confidence: 99%
“…Macromolecular components were determined by implementing prior knowledge, derived by parameterization of a metabolite‐nulled spectrum in LCModel. The individual macromolecular components were included in the fit for each spectrum based on the same parameterization, as it was shown that these components did not vary significantly between rat brain regions (16) and rat strains (8). Concentration values with CRLB > 50% were excluded from the analysis.…”
Section: Methodsmentioning
confidence: 99%
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