Evidence map›Paper›PMID 32278094›Full record

ArticleNeuroImage2020

Cerebrovascular reactivity mapping using intermittent breath modulation.

Peiying Liu, Cuimei Xu, Zixuan Lin, Sandeepa Sur, Yang Li, Sevil Yasar, Paul Rosenberg, Marilyn Albert, Hanzhang Lu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Cerebrovascular reactivity delay measured by blood oxygen level dependent magnetic resonance imaging and gas challenges: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Functional MRI Signatures of Autonomic Physiology in Aging.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Comparing end-tidal CONeuroImage · 2023
    Article
  19. Article
  20. Article
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

9 authors at 2 institutions in 1 country.

Peiying LiuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: peiying.liu@jhu.edu.
Cuimei XuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Zixuan LinDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sandeepa SurDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yang LiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sevil YasarDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Paul RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA.
Johns Hopkins University · USKennedy Krieger Institute · US

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
Development of MRI microvascular biomarkers in cognitive impairment and dementiaUH3NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2018 to 2020
$3.5M
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
BOLD and its discontents: age-differences in the neurophysiology of fMRI signalR01AG047972 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG, RYPMA, BART · 2015 to 2019
$1.7M
Development of techniques to map cerebrovascular reactivity with resting-state MRIR21NS100006 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LIU, PEIYING · 2017 to 2018
$450k
NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG047972NIBIB NIH HHS P41 EB015909NIH HHS S10 OD021648NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS R21 NS100006NINDS NIH HHS UH3 NS100588
6 · The paper itself

Abstract

Cerebrovascular reactivity (CVR), an index of brain vessel's dilatory capacity, is typically measured using hypercapnic gas inhalation or breath-holding as a vasoactive challenge. However, these methods require considerable subject cooperation and could be challenging in clinical studies. More recently, there have been attempts to use resting-state BOLD data to map CVR by utilizing spontaneous changes in breathing pattern. However, in subjects who have small fluctuations in their spontaneous breathing pattern, the CVR results could be noisy and unreliable. In this study, we aim to develop a new method for CVR mapping that does not require gas-inhalation yet provides substantially higher sensitivity than resting-state CVR mapping. This new method is largely based on resting-state scan, but introduces intermittent modulation of breathing pattern in the subject to enhance fluctuations in their end-tidal CO2 (EtCO2) level. Here we examined the comfort level, sensitivity, and accuracy of this method in two studies. First, in 8 healthy young subjects, we developed the intermittent breath-modulation method using two different modulation frequencies, 6 ​s per breath and 12 ​s per breath, respectively, and compared the results to three existing CVR methods, specifically hypercapnic gas inhalation, breath-holding, and resting-state. Our results showed that the comfort level of the 6-s breath-modulation method was significantly higher than breath-holding (p ​= ​0.007) and CO2-inhalation (p ​= ​0.015) methods, while not different from the resting-state, i.e. free breathing method (p ​= ​0.52). When comparing the sensitivity of CVR methods, the breath-modulation methods revealed higher Z-statistics compared to the resting-state scan (p ​< ​0.008) and was comparable to breath-holding results. Next, we tested the feasibility of breath-modulation CVR mapping (6 ​s per breath) in 21 cognitively normal elderly participants and compared quantitative CVR values to that obtained with the CO2-inhalation method. Whole-brain CVR was found to be 0.150 ​± ​0.055 and 0.154 ​± ​0.032 %ΔBOLD/mmHg for the breath-modulation and CO2-inhalation method, respectively, with a significant correlation between them (y ​= ​0.97x, p ​= ​0.007). CVR mapping with intermittent breath modulation may be a useful method that combines the advantages of resting-state and CO2-inhalation based approaches.

Indexed as

Magnetic Resonance ImagingRespirationAdultBrainBrain MappingBreath HoldingCerebrovascular CirculationFemaleHumansHypercapniaMaleYoung AdultBreath modulationCerebrovascular reactivityEnd-tidal CO(2)HypercapniaResting-state BOLD fMRI

Identifiers

PMID32278094
PMCPMC7292765
OpenAlexW3015796858

What OpenQuestion holds

Textmetadata
LicenceTDM
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.