Detecting natural abundance carbon signal of NAA metabolite within 12-cm3 localized volume of human brain using 1H-[13C] NMR spectroscopy.

Details

Serval ID
serval:BIB_E7C70A2D7E01
Type
Article: article from journal or magazin.
Collection
Publications
Title
Detecting natural abundance carbon signal of NAA metabolite within 12-cm3 localized volume of human brain using 1H-[13C] NMR spectroscopy.
Journal
Magnetic Resonance in Medicine
Author(s)
Chen W., Adriany G., Zhu X.H., Gruetter R., Ugurbil K.
ISSN
0740-3194 (Print)
ISSN-L
0740-3194
Publication state
Published
Issued date
1998
Volume
40
Number
2
Pages
180-184
Language
english
Notes
Publication types: Journal Article ; Research Support, U.S. Gov't, P.H.S.Publication Status: ppublish
Abstract
NMR spectroscopy has been applied extensively to study metabolism noninvasively in the human brain and other tissues. However, it usually suffers from poor signal-to-noise ratio due to low NMR sensitivity and low metabolite concentrations. In this study, the technique of proton-observe-carbon-edited (POCE) NMR spectroscopy combined with a single-shot localization sequence was used to detect the natural abundance carbon signal of the amino acid N-acetyl aspartate from a 12-cm3 localized volume in the occipital lobe of humans at 4 T. The results suggest that NMR spectroscopy is sensitive enough to detect signals from low concentration metabolites (< 60 nmol/g) from small volumes in the human brain within several minutes of data acquisition. This reveals that in vivo NMR spectroscopy is a promising technique for detecting small metabolite changes and low traces of 13C isotopic labeling for dynamic metabolism studies aimed at investigating physiological and pathological questions.
Keywords
Aspartic Acid/analogs & derivatives, Aspartic Acid/metabolism, Brain/metabolism, Carbon/metabolism, Humans, Magnetic Resonance Spectroscopy/instrumentation, Sensitivity and Specificity, Signal Processing, Computer-Assisted/instrumentation
Pubmed
Web of science
Create date
04/08/2010 15:28
Last modification date
20/08/2019 16:10
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