Evidence map›Paper›PMID 34826595›Full record

ArticleNeuroImage2021

Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge.

Peiying Liu, Dengrong Jiang, Marilyn Albert, Christopher E Bauer, Arvind Caprihan, Brian T Gold, Steven M Greenberg, Karl G Helmer, Kay Jann, Gregory Jicha and 7 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The dependence of COImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Cerebrovascular Reactivity Following Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. 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

17 authors at 10 institutions in 1 country.

Peiying LiuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dengrong JiangDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher E BauerDepartment of Neuroscience, University of Kentucky, Lexington, KY, USA.
Arvind CaprihanThe Mind Research Network, Albuquerque, NM, USA.
Brian T GoldDepartment of Neuroscience, University of Kentucky, Lexington, KY, USA.
Steven M GreenbergDepartment of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA.
Karl G HelmerDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Kay JannLaboratory of Functional MRI Technology, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Gregory JichaDepartment of Neurology, University of Kentucky, Lexington, KY, USA.
Pavel RodriguezDepartment of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
Claudia L SatizabalGlenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
Sudha SeshadriGlenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
Herpreet SinghDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Jeffrey F ThompsonDepartment of Neurology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Danny J J WangLaboratory of Functional MRI Technology, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 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 21287, USA; F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, 21205, USA. Electronic address: hanzhang.lu@jhu.edu.
University of Kentucky · USInstitute for Neurodegenerative Disorders · USJohns Hopkins Medicine · USJohns Hopkins University · USMassachusetts General Hospital · USUniversity of Southern California · USHarvard University · USMind Research Network · USThe University of Texas Health Science Center at San Antonio · USUniversity of New Mexico · US

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Anna Campbell Sullivan · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
VCID Biomarkers Coordinating CenterU24NS100591 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Steven M Greenberg · 2016 to 2026
$19.8M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Validation of Biomarkers of Small Vessel Injury in VCIDUF1NS100598 · NINDS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ROSENBERG, GARY ALLEN · 2021 to 2023
$6.3M
Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH3NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, WANG, DANNY JJ · 2018 to 2020
$4.3M
Validation of Imaging and Blood-based Small Vessel VCID Biomarkers in Multiethnic PopulationU01NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2023 to 2025
$3.9M
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
Small vessel disease biomarkers in a longitudinally-followed "stroke-belt" cohortUH3NS100606 · NINDS · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, WILCOCK, DONNA M · 2018 to 2020
$3.4M
MRI and CSF Biomarkers of White Matter Injury in VCIDUH3NS100598 · NINDS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ROSENBERG, GARY ALLEN · 2018 to 2020
$3.3M
Scientific CoreP20AG068077 · NIA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ADAIR, JOHN CHALMERS · 2020 to 2022
$3.1M
Microglial, Inflammatory and Omics Markers of Cerebral Small Vessel Disease in the CHARGE ConsortiumUH3NS100605 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2018 to 2020
$3.0M
NIA NIH HHS P20 AG068077NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG047972NIA NIH HHS R21 AG061851NIA NIH HHS U01 AG052409NIBIB NIH HHS P41 EB031771NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS115771NINDS NIH HHS R56 NS115771NINDS NIH HHS U01 NS100614NINDS NIH HHS U24 NS100591NINDS NIH HHS UF1 NS100588NINDS NIH HHS UF1 NS100598NINDS NIH HHS UF1 NS100614NINDS NIH HHS UH2 NS100598NINDS NIH HHS UH2 NS100605NINDS NIH HHS UH3 NS100588NINDS NIH HHS UH3 NS100598NINDS NIH HHS UH3 NS100605NINDS NIH HHS UH3 NS100606NINDS NIH HHS UH3 NS100614
6 · The paper itself

Abstract

Cerebrovascular reactivity (CVR), which measures the ability of cerebral blood vessels to dilate or constrict in response to vasoactive stimuli such as CO2 inhalation, is an important index of the brain's vascular health. Quantification of CVR using BOLD MRI with hypercapnia challenge has shown great promises in research and clinical studies. However, in order for it to be used as a potential imaging biomarker in large-scale and multi-site studies, the reliability of CO2-CVR quantification across different MRI acquisition platforms and researchers/raters must be examined. The goal of this report from the MarkVCID small vessel disease biomarkers consortium is to evaluate the reliability of CO2-CVR quantification in three studies. First, the inter-rater reliability of CO2-CVR data processing was evaluated by having raters from 5 MarkVCID sites process the same 30 CVR datasets using a cloud-based CVR data processing pipeline. Second, the inter-scanner reproducibility of CO2-CVR quantification was assessed in 10 young subjects across two scanners of different vendors. Third, test-retest repeatability was evaluated in 20 elderly subjects from 4 sites with a scan interval of less than 2 weeks. In all studies, the CO2 CVR measurements were performed using the fixed inspiration method, where the subjects wore a nose clip and a mouthpiece and breathed room air and 5% CO2 air contained in a Douglas bag alternatively through their mouth. The results showed that the inter-rater CoV of CVR processing was 0.08 ± 0.08% for whole-brain CVR values and ranged from 0.16% to 0.88% in major brain regions, with ICC of absolute agreement above 0.9959 for all brain regions. Inter-scanner CoV was found to be 6.90 ± 5.08% for whole-brain CVR values, and ranged from 4.69% to 12.71% in major brain regions, which are comparable to intra-session CoVs obtained from the same scanners on the same day. ICC of consistency between the two scanners was 0.8498 for whole-brain CVR and ranged from 0.8052 to 0.9185 across major brain regions. In the test-retest evaluation, test-retest CoV across different days was found to be 18.29 ± 17.12% for whole-brain CVR values, and ranged from 16.58% to 19.52% in major brain regions, with ICC of absolute agreement ranged from 0.6480 to 0.7785. These results demonstrated good inter-rater, inter-scanner, and test-retest reliability in healthy volunteers, and suggested that CO2-CVR has suitable instrumental properties for use as an imaging biomarker of cerebrovascular function in multi-site and longitudinal observational studies and clinical trials.

Indexed as

Cerebrovascular CirculationAdministration, InhalationAgedAgingBrainBrain MappingCarbon DioxideFemaleHealthy VolunteersHumansHypercapniaImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedObserver VariationCarbon DioxideBOLDCarbon dioxideCerebrovascular reactivityEnd-tidal CO2Hypercapnia

Identifiers

PMID34826595
PMCPMC8783393
OpenAlexW3217005511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.