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Article Dans Une Revue Magnetic Resonance in Medicine Année : 2024

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

Clémence Ligneul
Chloé Najac
André Döring
Christian Beaulieu
Francesca Branzoli
William T Clarke
Cristina Cudalbu
Guglielmo Genovese
Saad Jbabdi
Ileana Jelescu
Dimitrios Karampinos
Roland Kreis
Henrik Lundell
Małgorzata Marjańska
Harald E Möller
Jessie Mosso
Eloïse Mougel
  • Fonction : Auteur
Stefan Posse
Stefan Ruschke
Kadir Simsek
Filip Szczepankiewicz
Assaf Tal
Chantal Tax
Georg Oeltzschner
Marco Palombo
Itamar Ronen

Résumé

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 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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Dates et versions

hal-04372353 , version 1 (04-01-2024)

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Clémence Ligneul, Chloé Najac, André Döring, Christian Beaulieu, Francesca Branzoli, et al.. Diffusion‐weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic Resonance in Medicine, 2024, 91 (3), pp.860-885. ⟨10.1002/mrm.29877⟩. ⟨hal-04372353⟩
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