日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

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

MPS-Authors
/persons/resource/persons19864

Möller,  Harald E.
Methods and Development Group Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)

Ligneul_2023.pdf
(出版社版), 7MB

付随資料 (公開)

Ligneul_2023_Suppl.docx
(付録資料), 209KB

引用

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. (2024). Diffusion‐weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic Resonance in Medicine, 91(3), 860-885. doi:10.1002/mrm.29877.


引用: https://hdl.handle.net/21.11116/0000-000D-E9C3-0
要旨
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.