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Abstract #1584

A Novel Model for Dynamic Quantification of Oxygen Metabolism of Visual Stimulation at 3T

Linqing Li1, Nicholas Blockley2, Andy John Derbyshire1, and Gang Chen3
1Functional MRI Facility, National Institutes of Health, Bethesda, MD, United States, 2School of Life Sciences, University of Nottingham Medical School, Nottingham, United Kingdom, 3Scientific and Statistical Computing Core, National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: fMRI Analysis, fMRI (task based)

Motivation: Understanding relationship of two models, Yablonskiy and Haacke's (YH) linear model and Davis's power law model, for brain oxygenation metabolism.

Goal(s): Develop a new model for quantifying CMRO2 changes without relying on calibration procedures

Approach: Analyzing YH's linear and Davis's power law models suggests brain O₂/CO₂ ratios may remain constant between rest and vasodilation. We explore conditions where this occurs, potentially enabling CMRO2 estimation without calibration.

Results: New model was validated by comparing M parameter and CMRO2 change calculations with the Davis model. We applied the new model to calculate dynamic CMRO2 changes based on BOLD and CBF data from 11 subjects.

Impact: The reconciliation of YH and Davis models enhances our ability to interpret fMRI data and assess brain function accurately. Understanding their relationship is vital for dynamically quantifying brain oxygen metabolism.

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