Automated data processing of { 1H-decoupled} 13C MR spectra acquired from human brain in vivo

In clinical 13C infusion studies, broadband excitation of 200 ppm of the human brain yields 13C MR spectra with a time resolution of 2–5 min and generates up to 2000 metabolite peaks over 2 h. We describe a fast, automated, observer-independent technique for processing { 1H-decoupled} 13C spectra. Q...

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Bibliographic Details
Published inJournal of magnetic resonance (1997) Vol. 162; no. 2; pp. 259 - 268
Main Authors Shic, Frederick, Ross, Brian
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.06.2003
Subjects
13C
Alzheimer
Automatic Data Processing
Brain - metabolism
Carbon Isotopes
Epilepsy
Epilepsy - metabolism
Glia
Glucose - administration & dosage
Glucose - metabolism
Glutamate
Glutamic Acid - metabolism
Glutamine - metabolism
Humans
In vivo human brain
Ketogenic diet
Magnetic Resonance Spectroscopy - methods
Mathematical Computing
Neuron
Observer Variation
Spectroscopy processing
13C
Neuron
In vivo human brain
Epilepsy
Glutamate
Spectroscopy processing
Glia
Alzheimer
Ketogenic diet
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Summary:In clinical 13C infusion studies, broadband excitation of 200 ppm of the human brain yields 13C MR spectra with a time resolution of 2–5 min and generates up to 2000 metabolite peaks over 2 h. We describe a fast, automated, observer-independent technique for processing { 1H-decoupled} 13C spectra. Quantified 13C spectroscopic signals, before and after the administration of [1- 13C]glucose and/or [1- 13C]acetate in human subjects are determined. Stepwise improvements of data processing are illustrated by examples of normal and pathological results. Variation in analysis of individual 13C resonances ranged between 2 and 14%. Using this method it is possible to reliably identify subtle metabolic effects of brain disease including Alzheimer’s disease and epilepsy.
ISSN:1090-7807
1096-0856
DOI:10.1016/S1090-7807(03)00117-4