Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents

Malfunctions of oxygen metabolism are suspected to play a key role in a number of neurological and psychiatric disorders, but this hypothesis cannot be properly investigated without an in-vivo non-invasive measurement of brain oxygen consumption. We present a new way to measure the Cerebral Metaboli...

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Autores principales: Wood, Tobias C, Cash, Diana, MacNicol, Eilidh, Simmons, Camilla, Kim, Eugene, Lythgoe, David J, Zelaya, Fernando, Turkheimer, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428501/
https://www.ncbi.nlm.nih.gov/pubmed/36081865
http://dx.doi.org/10.12688/wellcomeopenres.16734.4
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author Wood, Tobias C
Cash, Diana
MacNicol, Eilidh
Simmons, Camilla
Kim, Eugene
Lythgoe, David J
Zelaya, Fernando
Turkheimer, Federico
author_facet Wood, Tobias C
Cash, Diana
MacNicol, Eilidh
Simmons, Camilla
Kim, Eugene
Lythgoe, David J
Zelaya, Fernando
Turkheimer, Federico
author_sort Wood, Tobias C
collection PubMed
description Malfunctions of oxygen metabolism are suspected to play a key role in a number of neurological and psychiatric disorders, but this hypothesis cannot be properly investigated without an in-vivo non-invasive measurement of brain oxygen consumption. We present a new way to measure the Cerebral Metabolic Rate of Oxygen (CMRO (2)) by combining two existing magnetic resonance imaging techniques, namely arterial spin-labelling and oxygen extraction fraction mapping. This method was validated by imaging rats under different anaesthetic regimes and was strongly correlated to glucose consumption measured by autoradiography.
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spelling pubmed-94285012022-09-07 Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents Wood, Tobias C Cash, Diana MacNicol, Eilidh Simmons, Camilla Kim, Eugene Lythgoe, David J Zelaya, Fernando Turkheimer, Federico Wellcome Open Res Method Article Malfunctions of oxygen metabolism are suspected to play a key role in a number of neurological and psychiatric disorders, but this hypothesis cannot be properly investigated without an in-vivo non-invasive measurement of brain oxygen consumption. We present a new way to measure the Cerebral Metabolic Rate of Oxygen (CMRO (2)) by combining two existing magnetic resonance imaging techniques, namely arterial spin-labelling and oxygen extraction fraction mapping. This method was validated by imaging rats under different anaesthetic regimes and was strongly correlated to glucose consumption measured by autoradiography. F1000 Research Limited 2022-08-25 /pmc/articles/PMC9428501/ /pubmed/36081865 http://dx.doi.org/10.12688/wellcomeopenres.16734.4 Text en Copyright: © 2022 Wood TC et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method Article
Wood, Tobias C
Cash, Diana
MacNicol, Eilidh
Simmons, Camilla
Kim, Eugene
Lythgoe, David J
Zelaya, Fernando
Turkheimer, Federico
Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title_full Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title_fullStr Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title_full_unstemmed Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title_short Non-Invasive measurement of the cerebral metabolic rate of oxygen using MRI in rodents
title_sort non-invasive measurement of the cerebral metabolic rate of oxygen using mri in rodents
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428501/
https://www.ncbi.nlm.nih.gov/pubmed/36081865
http://dx.doi.org/10.12688/wellcomeopenres.16734.4
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