Evaluation of calibrated and uncalibrated optical imaging approaches for relative cerebral oxygen metabolism measurements in awake mice.
Andrew E ToaderM FukudaAlberto L VazquezPublished in: Physiological measurement (2024)
Objective . The continuous delivery of oxygen is critical to sustain brain function, and therefore, measuring brain oxygen consumption can provide vital physiological insight. In this work, we examine the impact of calibration and cerebral blood flow (CBF) measurements on the computation of the relative changes in the cerebral metabolic rate of oxygen consumption (rCMRO 2 ) from hemoglobin-sensitive intrinsic optical imaging data. Using these data, we calculate rCMRO 2 , and calibrate the model using an isometabolic stimulus. Approach . We used awake head-fixed rodents to obtain hemoglobin-sensitive optical imaging data to test different calibrated and uncalibrated rCMRO 2 models. Hypercapnia was used for calibration and whisker stimulation was used to test the impact of calibration. Main results . We found that typical uncalibrated models can provide reasonable estimates of rCMRO 2 with differences as small as 7%-9% compared to their calibrated models. However, calibrated models showed lower variability and less dependence on baseline hemoglobin concentrations. Lastly, we found that supplying the model with measurements of CBF significantly reduced error and variability in rCMRO 2 change calculations. Significance . The effect of calibration on rCMRO 2 calculations remains understudied, and we systematically evaluated different rCMRO 2 calculation scenarios that consider including different measurement combinations. This study provides a quantitative comparison of these scenarios to evaluate trade-offs that can be vital to the design of blood oxygenation sensitive imaging experiments for rCMRO 2 calculation.
Keyphrases
- high resolution
- cerebral blood flow
- electronic health record
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- molecular dynamics
- subarachnoid hemorrhage
- cerebral ischemia
- molecular dynamics simulations
- resting state
- density functional theory
- big data
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- functional connectivity
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- multiple sclerosis
- artificial intelligence
- blood flow