High temporal resolution functional magnetic resonance spectroscopy in the mouse upon visual stimulation.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 07 2021
Historique:
received: 20 11 2020
revised: 11 03 2021
accepted: 12 03 2021
pubmed: 26 3 2021
medline: 14 10 2021
entrez: 25 3 2021
Statut: ppublish

Résumé

Functional magnetic resonance spectroscopy (fMRS) quantifies metabolic variations upon presentation of a stimulus and can therefore provide complementary information compared to activity inferred from functional magnetic resonance imaging (fMRI). Improving the temporal resolution of fMRS can be beneficial to clinical applications where detailed information on metabolism can assist the characterization of brain function in healthy and sick populations as well as for neuroscience applications where information on the nature of the underlying activity could be potentially gained. Furthermore, fMRS with higher temporal resolution could benefit basic studies on animal models of disease and for investigating brain function in general. However, to date, fMRS has been limited to sustained periods of activation which risk adaptation and other undesirable effects. Here, we performed fMRS experiments in the mouse with high temporal resolution (12 s), and show the feasibility of such an approach for reliably quantifying metabolic variations upon activation. We detected metabolic variations in the superior colliculus of mice subjected to visual stimulation delivered in a block paradigm at 9.4 T. A robust modulation of glutamate is observed on the average time course, on the difference spectra and on the concentration distributions during active and recovery periods. A general linear model is used for the statistical analysis, and for exploring the nature of the modulation. Changes in NAAG, PCr and Cr levels were also detected. A control experiment with no stimulation reveals potential metabolic signal "drifts" that are not correlated with the functional activity, which should be taken into account when analyzing fMRS data in general. Our findings are promising for future applications of fMRS.

Identifiants

pubmed: 33762216
pii: S1053-8119(21)00250-0
doi: 10.1016/j.neuroimage.2021.117973
pii:
doi:

Substances chimiques

Glutamic Acid 3KX376GY7L

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

117973

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Clémence Ligneul (C)

Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasilia, Lisbon 1400-038, Portugal.

Francisca F Fernandes (FF)

Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasilia, Lisbon 1400-038, Portugal.

Noam Shemesh (N)

Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasilia, Lisbon 1400-038, Portugal. Electronic address: noam.shemesh@neuro.fchampalimaud.org.

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Classifications MeSH