%0 Journal Article
%T Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling.
%A Ligneul C
%A Najac C
%A Döring A
%A Beaulieu C
%A Branzoli F
%A Clarke WT
%A Cudalbu C
%A Genovese G
%A Jbabdi S
%A Jelescu I
%A Karampinos D
%A Kreis R
%A Lundell H
%A Marjańska M
%A Möller HE
%A Mosso J
%A Mougel E
%A Posse S
%A Ruschke S
%A Simsek K
%A Szczepankiewicz F
%A Tal A
%A Tax C
%A Oeltzschner G
%A Palombo M
%A Ronen I
%A Valette J
%J Magn Reson Med
%V 91
%N 3
%D 2024 Mar 9
%M 37946584
%F 3.737
%R 10.1002/mrm.29877
%X 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.