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pro vyhledávání: '"Nicolas Sundqvist"'
Autor:
Sebastian Sten, Henrik Podéus, Nicolas Sundqvist, Fredrik Elinder, Maria Engström, Gunnar Cedersund
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010818 (2023)
Neurons regulate the activity of blood vessels through the neurovascular coupling (NVC). A detailed understanding of the NVC is critical for understanding data from functional imaging techniques of the brain. Many aspects of the NVC have been studied
Externí odkaz:
https://doaj.org/article/fdfe806078ce49f7b8f86518e302d085
Autor:
Nicolas Sundqvist, Sebastian Sten, Peter Thompson, Benjamin Jan Andersson, Maria Engström, Gunnar Cedersund
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 12, p e1010798 (2022)
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 mechanis
Externí odkaz:
https://doaj.org/article/7c4c2c4f6ce047748aea54b445f06a5a
Autor:
Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, Gunnar Cedersund
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1009999 (2022)
Accurate measurements of metabolic fluxes in living cells are central to metabolism research and metabolic engineering. The gold standard method is model-based metabolic flux analysis (MFA), where fluxes are estimated indirectly from mass isotopomer
Externí odkaz:
https://doaj.org/article/5927476bcdb14e47b1fcc9afaedef8e1
Autor:
Sebastian Sten, Henrik Podéus, Nicolas Sundqvist, Fredrik Elinder, Maria Engström, Gunnar Cedersund
Publikováno v:
PLoS computational biology. 19(1)
Author summaryThe neurovascular coupling (NVC) is the basis for functional magnetic resonance imaging (fMRI), since the NVC connects neural activity with the observed hemodynamic changes. This connection is highly complex, which warrants a model-base
Autor:
Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, Gunnar Cedersund
Publikováno v:
PLoS Comput Biol.
Accurate measurements of metabolic fluxes in living cells are central to metabolism research and metabolic engineering. The gold standard method is model-based metabolic flux analysis (MFA), where fluxes are estimated indirectly from mass isotopomer