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Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields

Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) indirectly measures brain activity based on neurovascular coupling, a reporter that limits both the spatial and temporal resolution of the technique as well as the cellular and metabolic specificity. Emerging metho...

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Autores principales: Roussel, Tangi, Frydman, Lucio, Le Bihan, Denis, Ciobanu, Luisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418181/
https://www.ncbi.nlm.nih.gov/pubmed/30872689
http://dx.doi.org/10.1038/s41598-019-40986-9
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author Roussel, Tangi
Frydman, Lucio
Le Bihan, Denis
Ciobanu, Luisa
author_facet Roussel, Tangi
Frydman, Lucio
Le Bihan, Denis
Ciobanu, Luisa
author_sort Roussel, Tangi
collection PubMed
description Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) indirectly measures brain activity based on neurovascular coupling, a reporter that limits both the spatial and temporal resolution of the technique as well as the cellular and metabolic specificity. Emerging methods using functional spectroscopy (fMRS) and diffusion-weighted fMRI suggest that metabolic and structural modifications are also taking place in the activated cells. This paper explores an alternative metabolic imaging approach based on Chemical Exchange Saturation Transfer (CEST) to assess potential metabolic changes induced by neuronal stimulation in rat brains at 17.2 T. An optimized CEST-fMRI data acquisition and processing protocol was developed and used to experimentally assess the feasibility of glucoCEST-based fMRI. Images acquired under glucose-sensitizing conditions showed a substantial negative contrast that highlighted the same brain regions as those activated with BOLD-fMRI. We ascribe this novel fMRI contrast to CEST’s ability to monitor changes in the local concentration of glucose, a metabolite closely coupled to neuronal activity. Our findings are in good agreement with literature employing other modalities. The use of CEST-based techniques for fMRI is not limited to glucose detection; other metabolic pathways involved in neuronal activation could be potentially probed. Moreover, being non invasive, it is conceivable that the same approach can be used for human studies.
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spelling pubmed-64181812019-03-18 Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields Roussel, Tangi Frydman, Lucio Le Bihan, Denis Ciobanu, Luisa Sci Rep Article Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) indirectly measures brain activity based on neurovascular coupling, a reporter that limits both the spatial and temporal resolution of the technique as well as the cellular and metabolic specificity. Emerging methods using functional spectroscopy (fMRS) and diffusion-weighted fMRI suggest that metabolic and structural modifications are also taking place in the activated cells. This paper explores an alternative metabolic imaging approach based on Chemical Exchange Saturation Transfer (CEST) to assess potential metabolic changes induced by neuronal stimulation in rat brains at 17.2 T. An optimized CEST-fMRI data acquisition and processing protocol was developed and used to experimentally assess the feasibility of glucoCEST-based fMRI. Images acquired under glucose-sensitizing conditions showed a substantial negative contrast that highlighted the same brain regions as those activated with BOLD-fMRI. We ascribe this novel fMRI contrast to CEST’s ability to monitor changes in the local concentration of glucose, a metabolite closely coupled to neuronal activity. Our findings are in good agreement with literature employing other modalities. The use of CEST-based techniques for fMRI is not limited to glucose detection; other metabolic pathways involved in neuronal activation could be potentially probed. Moreover, being non invasive, it is conceivable that the same approach can be used for human studies. Nature Publishing Group UK 2019-03-14 /pmc/articles/PMC6418181/ /pubmed/30872689 http://dx.doi.org/10.1038/s41598-019-40986-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Roussel, Tangi
Frydman, Lucio
Le Bihan, Denis
Ciobanu, Luisa
Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title_full Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title_fullStr Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title_full_unstemmed Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title_short Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields
title_sort brain sugar consumption during neuronal activation detected by cest functional mri at ultra-high magnetic fields
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418181/
https://www.ncbi.nlm.nih.gov/pubmed/30872689
http://dx.doi.org/10.1038/s41598-019-40986-9
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