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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1010798 |
| _version_ | 1811167245011779584 |
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| author | Nicolas Sundqvist Sebastian Sten Peter Thompson Benjamin Jan Andersson Maria Engström Gunnar Cedersund |
| author_facet | Nicolas Sundqvist Sebastian Sten Peter Thompson Benjamin Jan Andersson Maria Engström Gunnar Cedersund |
| author_sort | Nicolas Sundqvist |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T16:06:02Z |
| format | Article |
| id | doaj.art-7c4c2c4f6ce047748aea54b445f06a5a |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-04-10T16:06:02Z |
| publishDate | 2022-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-7c4c2c4f6ce047748aea54b445f06a5a2023-02-10T05:30:47ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582022-12-011812e101079810.1371/journal.pcbi.1010798Mechanistic model for human brain metabolism and its connection to the neurovascular coupling.Nicolas SundqvistSebastian StenPeter ThompsonBenjamin Jan AnderssonMaria EngströmGunnar CedersundThe 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.https://doi.org/10.1371/journal.pcbi.1010798 |
| spellingShingle | Nicolas Sundqvist Sebastian Sten Peter Thompson Benjamin Jan Andersson Maria Engström Gunnar Cedersund Mechanistic model for human brain metabolism and its connection to the neurovascular coupling. PLoS Computational Biology |
| 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 |
| url | https://doi.org/10.1371/journal.pcbi.1010798 |
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