Update 'Estimating Cerebral Oxygen Metabolism from FMRI with A Dynamic Multicompartment Windkessel Model'

Estimating-Cerebral-Oxygen-Metabolism-from-FMRI-with-A-Dynamic-Multicompartment-Windkessel-Model.md

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+<br>One promising strategy for mapping CMRO2 is twin-calibrated purposeful MRI (dc-fMRI). This method exploits the Fick Principle to combine estimates of resting CBF from ASL, and resting OEF derived from Bold-ASL measurements during arterial O2 and CO2 modulations. Multiple gasoline modulations are required to decouple OEF and deoxyhemoglobin-sensitive blood volume. We propose an alternative single gas calibrated fMRI framework, integrating a model of oxygen transport, that links blood volume and CBF to OEF and creates a mapping between the utmost Bold signal, CBF, and OEF (and CMRO2). Simulations demonstrated the method's viability within mitochondrial oxygen stress, PmO2, and mean capillary transit time physiological ranges. A dc-fMRI experiment, carried out on 20 healthy subjects using alternating O2 and CO2 challenges, was used to validate the method. The validation conveyed anticipated estimates of model parameters (e.g., low PmO2), with stable OEF maps (grey matter, GM, OEF Standard Deviation≈0.13). 0.025 respectively). The simplified calibrated fMRI method using hypercapnia holds promise for clinical utility.<br>
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