Ligneul, ClémenceClémenceLigneulNajac, ChloéChloéNajacDöring, AndréAndréDöringBeaulieu, ChristianChristianBeaulieuBranzoli, FrancescaFrancescaBranzoliClarke, William TWilliam TClarkeCudalbu, CristinaCristinaCudalbuGenovese, GuglielmoGuglielmoGenoveseJbabdi, SaadSaadJbabdiJelescu, IleanaIleanaJelescuKarampinos, DimitriosDimitriosKarampinosKreis, RolandRolandKreis0000-0002-8618-6875Lundell, HenrikHenrikLundellMarjańska, MałgorzataMałgorzataMarjańskaMöller, Harald EHarald EMöllerMosso, JessieJessieMossoMougel, EloïseEloïseMougelPosse, StefanStefanPosseRuschke, StefanStefanRuschkeSimsek, KadirKadirSimsekSzczepankiewicz, FilipFilipSzczepankiewiczTal, AssafAssafTalTax, ChantalChantalTaxOeltzschner, GeorgGeorgOeltzschnerPalombo, MarcoMarcoPalomboRonen, ItamarItamarRonenValette, JulienJulienValette2024-10-252024-10-252024-03https://boris-portal.unibe.ch/handle/20.500.12422/171285Brain 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.enacquisition dMRS fitting modelling processing600 - Technology::610 - Medicine & healtharticle10.48350/1887843794658410.1002/mrm.29877