Evidence map›Paper›PMID 40391663›Full record

ArticleMagnetic resonance in medicine2025

Improving quantitative BOLD-based measures of oxygen extraction fraction using hyperoxia BOLD-derived measures of blood volume.

Alan J Stone, Nicholas P Blockley

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alan J StoneWellcome Center for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Nicholas P BlockleyWellcome Center for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-2595-8285

Funding

Engineering and Physical Sciences Research Council EP/K025716/1
6 · The paper itself

Abstract

purposeStreamlined quantitative BOLD (sqBOLD) is a refinement of the quantitative BOLD (qBOLD) technique capable of producing noninvasive and quantitative maps of oxygen extraction fraction (OEF) in a clinically feasible scan time. However, sqBOLD measurements of OEF have been reported as being systematically lower than expected in healthy brain. Because the qBOLD framework infers OEF from the ratio of the reversible transverse relaxation rate (

methodsMonte Carlo simulations were used to simulate the qBOLD and hyperoxia-BOLD signals and to compare the systematic and noise-related errors of sqBOLD and the new hyperoxia-qBOLD (hqBOLD) technique. Experimentally, sqBOLD and hqBOLD measurements were performed and compared with TRUST (T

resultsSimulations showed a large improvement in the uncertainty of DBV measurements, leading to a much improved dynamic range for OEF measurements with hqBOLD. In a group of 10 healthy volunteers, hqBOLD produced measurements of OEF in cortical gray matter (OEF

conclusionThe simulations and experiments in this study demonstrate that an independent measure of DBV provides improved estimates of OEF.

Indexed as

Blood VolumeBrainCerebral Blood VolumeHyperoxiaMagnetic Resonance ImagingOxygenAdultAlgorithmsBrain MappingCerebrovascular CirculationComputer SimulationFemaleHumansImage Processing, Computer-AssistedMaleMonte Carlo MethodOxygencerebral blood volumehyperoxiaoxygen extraction fractionquantitative BOLD

Identifiers

PMID40391663
PMCPMC12309898

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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.