Magnetic resonance spectroscopy in the rodent brain: Experts' consensus recommendations

Bernard Lanz, Alireza Abaei, Olivier Braissant, In Young Choi, Cristina Cudalbu, Pierre Gilles Henry, Rolf Gruetter, Firat Kara, Kejal Kantarci, Phil Lee, Norbert W. Lutz, Małgorzata Marjańska, Vladimír Mlynárik, Volker Rasche, Lijing Xin, Julien Valette, Kevin Behar, Fawzi Boumezbeur, Dinesh Kumar Deelchand, Wolfgang DreherBrenda A. Klaunberg, Clemence Ligneul, Diana M. Lindquist, Gülin Öz, Ivan Tkáč, Steve R. Williams

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


In vivo MRS is a non-invasive measurement technique used not only in humans, but also in animal models using high-field magnets. MRS enables the measurement of metabolite concentrations as well as metabolic rates and their modifications in healthy animals and disease models. Such data open the way to a deeper understanding of the underlying biochemistry, related disturbances and mechanisms taking place during or prior to symptoms and tissue changes. In this work, we focus on the main preclinical 1H, 31P and 13C MRS approaches to study brain metabolism in rodent models, with the aim of providing general experts’ consensus recommendations (animal models, anesthesia, data acquisition protocols). An overview of the main practical differences in preclinical compared with clinical MRS studies is presented, as well as the additional biochemical information that can be obtained in animal models in terms of metabolite concentrations and metabolic flux measurements. The properties of high-field preclinical MRS and the technical limitations are also described.

Original languageEnglish (US)
Article numbere4325
JournalNMR in biomedicine
Issue number5
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.

Copyright 2020 Elsevier B.V., All rights reserved.


  • anesthesia
  • brain metabolism
  • consensus review
  • dynamic MRS
  • neurochemical profile
  • preclinical MRS

Center for Magnetic Resonance Research (CMRR) tags

  • SMCT

PubMed: MeSH publication types

  • Journal Article


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