Literature DB >> 33236818

Contribution of macromolecules to brain 1 H MR spectra: Experts' consensus recommendations.

Cristina Cudalbu1, Kevin L Behar2, Pallab K Bhattacharyya3, Wolfgang Bogner4,5, Tamas Borbath6,7, Robin A de Graaf8, Rolf Gruetter9, Anke Henning6,10, Christoph Juchem11, Roland Kreis12, Phil Lee13, Hongxia Lei1, Małgorzata Marjańska14, Ralf Mekle15, Saipavitra Murali-Manohar6,7, Michal Považan16, Veronika Rackayová1,9, Dunja Simicic1,9, Johannes Slotboom17, Brian J Soher18, Zenon Starčuk19, Jana Starčuková19, Ivan Tkáč14, Stephen Williams20, Martin Wilson21, Andrew Martin Wright6,22, Lijing Xin1, Vladimír Mlynárik4,5.   

Abstract

Proton MR spectra of the brain, especially those measured at short and intermediate echo times, contain signals from mobile macromolecules (MM). A description of the main MM is provided in this consensus paper. These broad peaks of MM underlie the narrower peaks of metabolites and often complicate their quantification but they also may have potential importance as biomarkers in specific diseases. Thus, separation of broad MM signals from low molecular weight metabolites enables accurate determination of metabolite concentrations and is of primary interest in many studies. Other studies attempt to understand the origin of the MM spectrum, to decompose it into individual spectral regions or peaks and to use the components of the MM spectrum as markers of various physiological or pathological conditions in biomedical research or clinical practice. The aim of this consensus paper is to provide an overview and some recommendations on how to handle the MM signals in different types of studies together with a list of open issues in the field, which are all summarized at the end of the paper.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  brain macromolecules; fitting; metabolite quantification; mobile lipids; parameterization; proton magnetic resonance spectroscopy; quantification; spectral analysis

Mesh:

Substances:

Year:  2020        PMID: 33236818     DOI: 10.1002/nbm.4393

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  25 in total

1.  Shimming-the forgotten child of in-vivo MR?

Authors:  Christopher J Wiggins; Changho Choi; Yan Li; Alexander P Lin; Sunitha B Thakur; Eva M Ratai
Journal:  MAGMA       Date:  2021-03-25       Impact factor: 2.310

2.  Improving brain B0 shimming using an easy and accessible multi-coil shim array at ultra-high field.

Authors:  Vincent Oltman Boer; Jan Ole Pedersen; Nick Arango; Irene Kuang; Jason Stockmann; Esben Thade Petersen
Journal:  MAGMA       Date:  2022-05-05       Impact factor: 2.310

3.  The macromolecular MR spectrum does not change with healthy aging.

Authors:  Steve C N Hui; Tao Gong; Helge J Zöllner; Yulu Song; Saipavitra Murali-Manohar; Georg Oeltzschner; Mark Mikkelsen; Sofie Tapper; Yufan Chen; Muhammad G Saleh; Eric C Porges; Weibo Chen; Guangbin Wang; Richard A E Edden
Journal:  Magn Reson Med       Date:  2021-11-28       Impact factor: 4.668

4.  Reproducibility of 7-T brain spectroscopy using an ultrashort echo time STimulated Echo Acquisition Mode sequence and automated voxel repositioning.

Authors:  Meredith A Reid; Martha R Forloines; Nouha Salibi
Journal:  NMR Biomed       Date:  2021-10-08       Impact factor: 4.044

5.  Comparison of linear combination modeling strategies for edited magnetic resonance spectroscopy at 3 T.

Authors:  Helge J Zöllner; Sofie Tapper; Steve C N Hui; Peter B Barker; Richard A E Edden; Georg Oeltzschner
Journal:  NMR Biomed       Date:  2021-09-23       Impact factor: 4.044

6.  In vivo spectral editing of phosphorylethanolamine.

Authors:  Steve C N Hui; Helge J Zöllner; Georg Oeltzschner; Richard A E Edden; Muhammad G Saleh
Journal:  Magn Reson Med       Date:  2021-08-19       Impact factor: 4.668

7.  Comparison of different linear-combination modeling algorithms for short-TE proton spectra.

Authors:  Helge J Zöllner; Michal Považan; Steve C N Hui; Sofie Tapper; Richard A E Edden; Georg Oeltzschner
Journal:  NMR Biomed       Date:  2021-02-02       Impact factor: 4.044

8.  Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations.

Authors:  Jamie Near; Ashley D Harris; Christoph Juchem; Roland Kreis; Małgorzata Marjańska; Gülin Öz; Johannes Slotboom; Martin Wilson; Charles Gasparovic
Journal:  NMR Biomed       Date:  2020-02-21       Impact factor: 4.044

9.  In vivo 1 H MR spectroscopy with J-refocusing.

Authors:  Dinesh K Deelchand; Jamie D Walls; Małgorzata Marjańska
Journal:  Magn Reson Med       Date:  2021-07-26       Impact factor: 4.668

10.  Magnetic resonance spectroscopy in the rodent brain: Experts' consensus recommendations.

Authors:  Bernard Lanz; Alireza Abaei; Olivier Braissant; In-Young Choi; Cristina Cudalbu; Pierre-Gilles Henry; Rolf Gruetter; Firat Kara; Kejal Kantarci; Phil Lee; Norbert W Lutz; Małgorzata Marjańska; Vladimír Mlynárik; Volker Rasche; Lijing Xin; Julien Valette
Journal:  NMR Biomed       Date:  2020-08-26       Impact factor: 4.478

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