Article,
Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling
Affiliations
- [1] University of Oxford [NORA names: United Kingdom; Europe, Non-EU; OECD];
- [2] Leiden University Medical Center [NORA names: Netherlands; Europe, EU; OECD];
- [3] Cardiff University [NORA names: United Kingdom; Europe, Non-EU; OECD];
- [4] Center for BioMedical Imaging (CIBM) [NORA names: Switzerland; Europe, Non-EU; OECD];
- [5] University of Alberta [NORA names: Canada; America, North; OECD];
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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.