Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling.
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- doi: 10.1002/mrm.29877
- issn: 0740-3194
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info:eu-repo/semantics/altIdentifier/pmid/37946584
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info:eu-repo/semantics/altIdentifier/eissn/1522-2594
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info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_3952C7956B901
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C. Ligneul et al., « Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. », Serveur académique Lausannois, ID : 10.1002/mrm.29877
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Résumé
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.