TY - JOUR
T1 - Diffusion-weighted MR spectroscopy
T2 - Consensus, recommendations, and resources from acquisition to modeling
AU - Ligneul, Clémence
AU - Najac, Chloé
AU - Döring, André
AU - Beaulieu, Christian
AU - Branzoli, Francesca
AU - Clarke, William T
AU - Cudalbu, Cristina
AU - Genovese, Guglielmo
AU - Jbabdi, Saad
AU - Jelescu, Ileana
AU - Karampinos, Dimitrios
AU - Kreis, Roland
AU - Lundell, Henrik
AU - Marjańska, Małgorzata
AU - Möller, Harald E
AU - Mosso, Jessie
AU - Mougel, Eloïse
AU - Posse, Stefan
AU - Ruschke, Stefan
AU - Simsek, Kadir
AU - Szczepankiewicz, Filip
AU - Tal, Assaf
AU - Tax, Chantal
AU - Oeltzschner, Georg
AU - Palombo, Marco
AU - Ronen, Itamar
AU - Valette, Julien
N1 - Publisher Copyright:
© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
PY - 2024/3
Y1 - 2024/3
N2 - 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.
AB - 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.
KW - acquisition
KW - dMRS
KW - fitting
KW - modelling
KW - processing
UR - https://www.scopus.com/pages/publications/85176579423
U2 - 10.1002/mrm.29877
DO - 10.1002/mrm.29877
M3 - Article
C2 - 37946584
SN - 0740-3194
VL - 91
SP - 860
EP - 885
JO - Magnetic Resonance in Medicine
JF - Magnetic Resonance in Medicine
IS - 3
ER -