Evidence map›Paper›PMID 27177763›Full record

ArticleNeuroImage2016

Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults.

Ali M Golestani, Luxi L Wei, J Jean Chen

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% of its field
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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Review
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  9. Article
  10. Functional MRI Signatures of Autonomic Physiology in Aging.bioRxiv : the preprint server for biology · 2025
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  15. Alterations of cerebrovascular reactivity following pediatric mild traumatic brain injury are independent of neurodevelopmental changes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  16. Article
  17. Parkinson's disease cerebrovascular reactivity pattern: A feasibility study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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  18. Article
  19. Multifaceted neural and vascular pathologies after pediatric mild traumatic brain injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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  20. Article

9 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Ali M GolestaniRotman Research Institute, Baycrest Centre, Canada.
Luxi L WeiRotman Research Institute, Baycrest Centre, Canada; Department of Physics and Astronomy, University of British Columbia, Canada.
J Jean ChenRotman Research Institute, Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada. Electronic address: jchen@research.baycrest.org.
Baycrest Hospital · CAUniversity of British Columbia · CAUniversity of Toronto · CA

Funding

CIHR 126164-1
6 · The paper itself

Abstract

In conventional neuroimaging, cerebrovascular reactivity (CVR) is quantified primarily using the blood-oxygenation level-dependent (BOLD) functional MRI (fMRI) signal, specifically, as the BOLD response to intravascular carbon dioxide (CO2) modulations, in units of [%ΔBOLD/mmHg]. While this method has achieved wide appeal and clinical translation, the tolerability of CO2-related tasks amongst patients and the elderly remains a challenge in more routine and large-scale applications. In this work, we propose an improved method to quantify CVR by exploiting intrinsic fluctuations in CO2 and corresponding changes in the resting-state BOLD signal (rs-qCVR). Our rs-qCVR approach requires simultaneous monitoring of PETCO2, cardiac pulsation and respiratory volume. In 16 healthy adults, we compare our quantitative CVR estimation technique to the prospective CO2-targeting based CVR quantification approach (qCVR, the "standard"). We also compare our rs-CVR to non-quantitative alternatives including the resting-state fluctuation amplitude (RSFA), amplitude of low-frequency fluctuation (ALFF) and global-signal regression. When all subjects were pooled, only RSFA and ALFF were significantly associated with qCVR. However, for characterizing regional CVR variations within each subject, only the PETCO2-based rs-qCVR measure is strongly associated with standard qCVR in 100% of the subjects (p≤0.1). In contrast, for the more qualitative CVR measures, significant within-subject association with qCVR was only achieved in 50-70% of the subjects. Our work establishes the feasibility of extracting quantitative CVR maps using rs-fMRI, opening the possibility of mapping functional connectivity and qCVR simultaneously.

Indexed as

AdultBlood Flow VelocityBrainBrain MappingCarbon DioxideCerebrovascular CirculationFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleOxygenReproducibility of ResultsRestSensitivity and SpecificityCarbon DioxideOxygenCerebrovascular reactivityDeconvolutionEnd-tidal CO(2)Heart-rate variabilityHemodynamic response functionNon-invasive vascular mappingRespiratory-volume variabilityResting-state fMRI

Identifiers

PMID27177763
PMCPMC5148619
OpenAlexW2361738751

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.