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  Mapping of Glutamate Metabolism using 1H FID-MRSI after oral Administration of [1-13C]Glc at 9.4 T

Ziegs, T., Ruhm, L., Wright, A., & Henning, A. (2023). Mapping of Glutamate Metabolism using 1H FID-MRSI after oral Administration of [1-13C]Glc at 9.4 T. NeuroImage, 270: 119940. doi:10.1101/2022.09.05.506579.

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Ziegs, T1, Author           
Ruhm, L1, Author           
Wright, A2, Author           
Henning, A1, Author           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              

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 Abstract: Glutamate is the major excitatory transmitter in the brain and malfunction of the related metabolism is associated with various neurological diseases and disorders. The observation of labeling changes in the spectra after the administration of a 13C labelled tracer is a common tool to gain better insights into the function of the metabolic system. But so far, only a very few studies presenting the labelling effects in more than two voxels to show the spatial dependence of metabolism. In the present work, the labeling effects were measured in a transversal plane in the human brain using ultra-short TE and TR 1H FID-MRSI. The measurement set-up was most simple: The [1-13C]Glc was administered orally instead of intravenous and the spectra were measured with a pure 1H technique without the need of a 13C channel (as Boumezbeur et al. demonstrated in 2004). Thus, metabolic maps and enrichment curves could be obtained for more metabolites and in more voxels than ever before in human brain. Labeling changes could be observed in [4-13C]glutamate, [3-13C]glutamate+glutamine, [2-13C]glutamate+glutamine, [4-13C]glutamine, and [3-13C]aspartate with a high temporal (3.6 min) and spatial resolution (32 × 32 grid with nominal voxel size of 0.33 μL) in five volunteers.

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 Dates: 2023-022023-04
 Publication Status: Issued
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 Identifiers: DOI: 10.1101/2022.09.05.506579
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Title: NeuroImage
Source Genre: Journal
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Pages: 10 Volume / Issue: 270 Sequence Number: 119940 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166