Literature DB >> 28869920

Comparison of direct 13C and indirect 1H-[13C] MR detection methods for the study of dynamic metabolic turnover in the human brain.

Hao Chen1, Henk M De Feyter2, Peter B Brown2, Douglas L Rothman2, Shuhui Cai3, Robin A de Graaf4.   

Abstract

A wide range of direct 13C and indirect 1H-[13C] MR detection methods exist to probe dynamic metabolic pathways in the human brain. Choosing an optimal detection method is difficult as sequence-specific features regarding spatial localization, broadband decoupling, spectral resolution, power requirements and sensitivity complicate a straightforward comparison. Here we combine density matrix simulations with experimentally determined values for intrinsic 1H and 13C sensitivity, T1 and T2 relaxation and transmit efficiency to allow selection of an optimal 13C MR detection method for a given application and magnetic field. The indirect proton-observed, carbon-edited (POCE) detection method provides the highest accuracy at reasonable RF power deposition both at 4T and 7T. The various polarization transfer methods all have comparable performances, but may become infeasible at 7T due to the high RF power deposition. 2D MR methods have limited value for the metabolites considered (primarily glutamate, glutamine and γ-amino butyric acid (GABA)), but may prove valuable when additional information can be extracted, such as isotopomers or lipid composition. While providing the lowest accuracy, the detection of non-protonated carbons is the simplest to implement with the lowest RF power deposition. The magnetic field homogeneity is one of the most important parameters affecting the detection accuracy for all metabolites and all acquisition methods.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Carbon-13; Decoupling; Proton; Sensitivity; Spectral resolution

Mesh:

Substances:

Year:  2017        PMID: 28869920     DOI: 10.1016/j.jmr.2017.08.004

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  4 in total

1.  On the magnetic field dependence of deuterium metabolic imaging.

Authors:  Robin A de Graaf; Arjan D Hendriks; Dennis W J Klomp; Chathura Kumaragamage; Dimitri Welting; Catalina S Arteaga de Castro; Peter B Brown; Scott McIntyre; Terence W Nixon; Jeanine J Prompers; Henk M De Feyter
Journal:  NMR Biomed       Date:  2019-12-26       Impact factor: 4.044

2.  The effects of ketamine on prefrontal glutamate neurotransmission in healthy and depressed subjects.

Authors:  Chadi G Abdallah; Henk M De Feyter; Lynnette A Averill; Lihong Jiang; Christopher L Averill; Golam M I Chowdhury; Prerana Purohit; Robin A de Graaf; Irina Esterlis; Christoph Juchem; Brian P Pittman; John H Krystal; Douglas L Rothman; Gerard Sanacora; Graeme F Mason
Journal:  Neuropsychopharmacology       Date:  2018-06-28       Impact factor: 7.853

3.  Robust detection of oncometabolic aberrations by 1H-13C heteronuclear single quantum correlation in intact biological specimens.

Authors:  Yasaman Barekatain; Victoria C Yan; Kenisha Arthur; Jeffrey J Ackroyd; Sunada Khadka; John De Groot; Jason T Huse; Florian L Muller
Journal:  Commun Biol       Date:  2020-06-25

4.  Application of a BIlinear Rotation Decoupling (BIRD) filter in combination with J-difference editing for indirect 13 C measurements in the human liver.

Authors:  Pandichelvam Veeraiah; Kim Brouwers; Joachim E Wildberger; Vera B Schrauwen-Hinderling; Lucas Lindeboom
Journal:  Magn Reson Med       Date:  2020-07-03       Impact factor: 4.668

  4 in total

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