open access publication

Article, 2024

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

Magnetic Resonance in Medicine, ISSN 0740-3194, Volume 91, 3, Pages 860-885, 10.1002/mrm.29877

Contributors

Ligneul C. 0000-0001-5673-3009 (Corresponding author) [1] Najac C. 0000-0002-7804-2281 [2] Doring A. 0000-0002-2096-5374 [3] [4] Beaulieu C. 0000-0002-2342-3298 [5] Branzoli F. 0000-0001-9792-0492 [6] Clarke W.T. 0000-0001-7159-7025 [1] Cudalbu C. 0000-0003-4582-2465 [4] [7] Genovese G. 0000-0001-9409-0120 [8] Jbabdi S. 0000-0003-3234-5639 [1] Jelescu I. 0000-0002-3664-0195 [9] [10] Karampinos D. 0000-0003-4922-3662 [11] Kreis R. 0000-0002-8618-6875 [12] Lundell H. 0000-0002-7044-442X [13] [14] Marjanska M. 0000-0002-4727-2447 [8] Moller H.E. 0000-0002-5659-1925 [15] Mosso J. 0000-0001-6318-9507 [4] [7] Mougel E. [16] Posse S. 0000-0002-4816-080X [17] Ruschke S. 0000-0001-9658-6541 [11] Simsek K. 0000-0003-4044-7395 [3] [18] Szczepankiewicz F. 0000-0002-5251-587X [19] Tal A. 0000-0001-6718-6522 [20] Tax C.M.W. 0000-0002-7480-8817 [18] [21] Oeltzschner G. 0000-0003-3083-9811 [22] [23] Palombo M. 0000-0003-4892-7967 [3] [18] Ronen I. 0000-0002-6872-4895 [24] Valette J. 0000-0002-2067-5051 [16]

Affiliations

  1. [1] University of Oxford
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Leiden University Medical Center
  4. [NORA names: Netherlands; Europe, EU; OECD];
  5. [3] Cardiff University
  6. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  7. [4] Center for BioMedical Imaging (CIBM)
  8. [NORA names: Switzerland; Europe, Non-EU; OECD];
  9. [5] University of Alberta
  10. [NORA names: Canada; America, North; OECD];

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

acquisition, dMRS, fitting, modelling, processing

Funders

  • NeurATRIS

Data Provider: Elsevier