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

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Möller,  Harald E.       
Methods and Development Group Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Ligneul_2023_Suppl.docx
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Citation

Ligneul, C., Najac, C., Döring, A., Beaulieu, C., Branzoli, F., Clarke, W. T., et al. (2024). Diffusion‐weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic Resonance in Medicine, 91(3), 860-885. doi:10.1002/mrm.29877.


Cite as: https://hdl.handle.net/21.11116/0000-000D-E9C3-0
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.