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Diffusion-weighted MR spectroscopy : Consensus, recommendations, and resources from acquisition to modeling

Ligneul, Clémence ; Najac, Chloé ; Döring, André ; Beaulieu, Christian ; Branzoli, Francesca ; Clarke, William T. ; Cudalbu, Cristina ; Genovese, Guglielmo ; Jbabdi, Saad and Jelescu, Ileana , et al. (2024) In Magnetic Resonance in Medicine 91(3). p.860-885
Abstract

Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion-weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the... (More)

Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion-weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the organization of the Lorentz Center workshop on “Best Practices & Tools for Diffusion MR Spectroscopy” held in Leiden, the Netherlands, in September 2021. During the workshop, the dMRS community established a set of recommendations to execute robust dMRS studies. This paper provides a description of the steps needed for acquiring, processing, fitting, and modeling dMRS data, and provides links to useful resources.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
acquisition, dMRS, fitting, modelling, processing
in
Magnetic Resonance in Medicine
volume
91
issue
3
pages
26 pages
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:37946584
  • scopus:85176579423
ISSN
0740-3194
DOI
10.1002/mrm.29877
language
English
LU publication?
yes
id
7a3b88ce-228a-45cd-b5ae-61e890ba9e81
date added to LUP
2024-01-11 09:48:11
date last changed
2024-04-26 05:33:27
@article{7a3b88ce-228a-45cd-b5ae-61e890ba9e81,
  abstract     = {{<p>Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion-weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the organization of the Lorentz Center workshop on “Best Practices &amp; Tools for Diffusion MR Spectroscopy” held in Leiden, the Netherlands, in September 2021. During the workshop, the dMRS community established a set of recommendations to execute robust dMRS studies. This paper provides a description of the steps needed for acquiring, processing, fitting, and modeling dMRS data, and provides links to useful resources.</p>}},
  author       = {{Ligneul, Clémence and Najac, Chloé and Döring, André and Beaulieu, Christian and Branzoli, Francesca and Clarke, William T. and Cudalbu, Cristina and Genovese, Guglielmo and Jbabdi, Saad and Jelescu, Ileana and Karampinos, Dimitrios and Kreis, Roland and Lundell, Henrik and Marjańska, Małgorzata and Möller, Harald E. and Mosso, Jessie and Mougel, Eloïse and Posse, Stefan and Ruschke, Stefan and Simsek, Kadir and Szczepankiewicz, Filip and Tal, Assaf and Tax, Chantal and Oeltzschner, Georg and Palombo, Marco and Ronen, Itamar and Valette, Julien}},
  issn         = {{0740-3194}},
  keywords     = {{acquisition; dMRS; fitting; modelling; processing}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{860--885}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Magnetic Resonance in Medicine}},
  title        = {{Diffusion-weighted MR spectroscopy : Consensus, recommendations, and resources from acquisition to modeling}},
  url          = {{http://dx.doi.org/10.1002/mrm.29877}},
  doi          = {{10.1002/mrm.29877}},
  volume       = {{91}},
  year         = {{2024}},
}