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

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State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_3952C7956B90
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling.
Journal
Magnetic resonance in medicine
Author(s)
Ligneul C., Najac C., Döring A., Beaulieu C., Branzoli F., Clarke W.T., Cudalbu C., Genovese G., Jbabdi S., Jelescu I., Karampinos D., Kreis R., Lundell H., Marjańska M., Möller H.E., Mosso J., Mougel E., Posse S., Ruschke S., Simsek K., Szczepankiewicz F., Tal A., Tax C., Oeltzschner G., Palombo M., Ronen I., Valette J.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
03/2024
Peer-reviewed
Oui
Volume
91
Number
3
Pages
860-885
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
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.
Keywords
Consensus, Brain/metabolism, Magnetic Resonance Spectroscopy/methods, Diffusion, Diffusion Magnetic Resonance Imaging/methods, acquisition, dMRS, fitting, modelling, processing
Pubmed
Web of science
Open Access
Yes
Create date
12/11/2023 15:06
Last modification date
11/01/2024 7:19
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