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, Stefan Posse, Stefan Ruschke, Kadir SimsekFilip Szczepankiewicz, Assaf Tal, Chantal Tax, Georg Oeltzschner, Marco Palombo, Itamar Ronen, Julien Valette

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

30 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)860-885
Number of pages26
JournalMagnetic Resonance in Medicine
Volume91
Issue number3
DOIs
Publication statusPublished - Mar 2024

Keywords

  • acquisition
  • dMRS
  • fitting
  • modelling
  • processing

Fingerprint

Dive into the research topics of 'Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling'. Together they form a unique fingerprint.

Cite this