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Mechanistic model for human brain metabolism and its connection to the neurovascular coupling
The neurovascular and neurometabolic couplings (NVC and NMC) connect cerebral activity, blood flow, and metabolism. This interconnection is used in for instance functional imaging, which analyses the blood-oxygen-dependent (BOLD) signal. The mechanisms underlying the NVC are complex, which warrants...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822108/ https://www.ncbi.nlm.nih.gov/pubmed/36548394 http://dx.doi.org/10.1371/journal.pcbi.1010798 |
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author | Sundqvist, Nicolas Sten, Sebastian Thompson, Peter Andersson, Benjamin Jan Engström, Maria Cedersund, Gunnar |
author_facet | Sundqvist, Nicolas Sten, Sebastian Thompson, Peter Andersson, Benjamin Jan Engström, Maria Cedersund, Gunnar |
author_sort | Sundqvist, Nicolas |
collection | PubMed |
description | The neurovascular and neurometabolic couplings (NVC and NMC) connect cerebral activity, blood flow, and metabolism. This interconnection is used in for instance functional imaging, which analyses the blood-oxygen-dependent (BOLD) signal. The mechanisms underlying the NVC are complex, which warrants a model-based analysis of data. We have previously developed a mechanistically detailed model for the NVC, and others have proposed detailed models for cerebral metabolism. However, existing metabolic models are still not fully utilizing available magnetic resonance spectroscopy (MRS) data and are not connected to detailed models for NVC. Therefore, we herein present a new model that integrates mechanistic modelling of both MRS and BOLD data. The metabolic model covers central metabolism, using a minimal set of interactions, and can describe time-series data for glucose, lactate, aspartate, and glutamate, measured after visual stimuli. Statistical tests confirm that the model can describe both estimation data and predict independent validation data, not used for model training. The interconnected NVC model can simultaneously describe BOLD data and can be used to predict expected metabolic responses in experiments where metabolism has not been measured. This model is a step towards a useful and mechanistically detailed model for cerebral blood flow and metabolism, with potential applications in both basic research and clinical applications. |
format | Online Article Text |
id | pubmed-9822108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98221082023-01-07 Mechanistic model for human brain metabolism and its connection to the neurovascular coupling Sundqvist, Nicolas Sten, Sebastian Thompson, Peter Andersson, Benjamin Jan Engström, Maria Cedersund, Gunnar PLoS Comput Biol Research Article The neurovascular and neurometabolic couplings (NVC and NMC) connect cerebral activity, blood flow, and metabolism. This interconnection is used in for instance functional imaging, which analyses the blood-oxygen-dependent (BOLD) signal. The mechanisms underlying the NVC are complex, which warrants a model-based analysis of data. We have previously developed a mechanistically detailed model for the NVC, and others have proposed detailed models for cerebral metabolism. However, existing metabolic models are still not fully utilizing available magnetic resonance spectroscopy (MRS) data and are not connected to detailed models for NVC. Therefore, we herein present a new model that integrates mechanistic modelling of both MRS and BOLD data. The metabolic model covers central metabolism, using a minimal set of interactions, and can describe time-series data for glucose, lactate, aspartate, and glutamate, measured after visual stimuli. Statistical tests confirm that the model can describe both estimation data and predict independent validation data, not used for model training. The interconnected NVC model can simultaneously describe BOLD data and can be used to predict expected metabolic responses in experiments where metabolism has not been measured. This model is a step towards a useful and mechanistically detailed model for cerebral blood flow and metabolism, with potential applications in both basic research and clinical applications. Public Library of Science 2022-12-22 /pmc/articles/PMC9822108/ /pubmed/36548394 http://dx.doi.org/10.1371/journal.pcbi.1010798 Text en © 2022 Sundqvist et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sundqvist, Nicolas Sten, Sebastian Thompson, Peter Andersson, Benjamin Jan Engström, Maria Cedersund, Gunnar Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title | Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title_full | Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title_fullStr | Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title_full_unstemmed | Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title_short | Mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
title_sort | mechanistic model for human brain metabolism and its connection to the neurovascular coupling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822108/ https://www.ncbi.nlm.nih.gov/pubmed/36548394 http://dx.doi.org/10.1371/journal.pcbi.1010798 |
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