ArticleNeuroImage2019
Model-based Bayesian inference of brain oxygenation using quantitative BOLD.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Neuroimaging evidence of mitochondrial dysfunction and inflammation in psychiatric disorders: a review.Psychoradiology · 2026Review
- Oxygen extraction fraction mapping between normal cognition and mild cognitive impairment in older adults using quantitative BOLD.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Modeling the effect of in-plane magnetic field gradients on asymmetric spin-echo images with echo-planar imaging readout.Magnetic resonance in medicine · 2025Article
- Improving quantitative BOLD-based measures of oxygen extraction fraction using hyperoxia BOLD-derived measures of blood volume.Magnetic resonance in medicine · 2025Article
- Uncovering the impact of the cardiovascular system on cerebrovascular health using MRI.Experimental physiology · 2025Review
- Interactions between Ploidy and Resource Availability Shape Clonal Evolution in Glioblastoma.Cancer research · 2025Article
- Breath-hold calibrated fMRI mapping of absolute cerebral metabolic rate of oxygen metabolism (CMROImaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Streamlined quantitative BOLD for detecting visual stimulus-induced changes in oxygen extraction fraction in healthy participants: toward clinical application in human glioma.Magma (New York, N.Y.) · 2023Article
- Interactions between ploidy and resource availability shape clonal interference at initiation and recurrence of glioblastoma.bioRxiv : the preprint server for biology · 2023Article
- Cerebral oxygen metabolism from MRI susceptibility.NeuroImage · 2023Review
- Measurement of Cerebral Oxygen Extraction Fraction Using Quantitative BOLD Approach: A Review.Phenomics (Cham, Switzerland) · 2023Review
- Cortical oxygen extraction fraction using quantitative BOLD MRI and cerebral blood flow during vasodilation.Frontiers in physiology · 2023Article
- Non-Neural Factors Influencing BOLD Response Magnitudes within Individual Subjects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Article
- Effects of mild hypoxia on oxygen extraction fraction responses to brain stimulation.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- The Spatiotemporal Evolution of MRI-Derived Oxygen Extraction Fraction and Perfusion in Ischemic Stroke.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Streamlined Quantitative BOLD (sqBOLD) is an MR technique that can non-invasively measure physiological parameters including Oxygen Extraction Fraction (OEF) and deoxygenated blood volume (DBV) in the brain. Current sqBOLD methodology rely on fitting a linear model to log-transformed data acquired using an Asymmetric Spin Echo (ASE) pulse sequence. In this paper, a non-linear model implemented in a Bayesian framework was used to fit physiological parameters to ASE data. This model makes use of the full range of available ASE data, and incorporates the signal contribution from venous blood, which was ignored in previous analyses. Simulated data are used to demonstrate the intrinsic difficulty in estimating OEF and DBV simultaneously, and the benefits of the proposed non-linear model are shown. In vivo data are used to show that this model improves parameter estimation when compared with literature values. The model and analysis framework can be extended in a number of ways, and can incorporate prior information from external sources, so it has the potential to further improve OEF estimation using sqBOLD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.