Evidence map›Paper›PMID 30463025›Full record

ArticleNeuroImage2019

Estimation of brain functional connectivity from hypercapnia BOLD MRI data: Validation in a lifespan cohort of 170 subjects.

Xirui Hou, Peiying Liu, Hong Gu, Micaela Chan, Yang Li, Shin-Lei Peng, Gagan Wig, Yihong Yang, Denise Park, Hanzhang Lu

Registry-linked trialOpen access · greenAbstract readValidation Study
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06797661 (Insights Into the Pathophysiology of Neurovascular Uncoupling in Patients with Brain Lesions.), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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.

NCT06797661 narecruitingnot on this mapstarted 2025, after this paper: background citation

Insights Into the Pathophysiology of Neurovascular Uncoupling in Patients with Brain Lesions.

TypeinterventionalSponsorErasme University HospitalRan2025 to 2026Enrolled40ConditionsGlioblastoma, Glioma, AstrocytomaArmsFunctional MRI, FDG-PET, Structural MRI
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Protective role of parenthood on age-related brain function in mid- to late-life.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Examining the role of dopamine in methylphenidate's effects on resting brain function.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

10 authors at 6 institutions in 2 countries.

Xirui HouDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Peiying LiuThe Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Hong GuNeuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Micaela ChanCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
Yang LiThe Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Shin-Lei PengThe Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.
Gagan WigCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yihong YangNeuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Denise ParkCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hanzhang LuDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA; The Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: hanzhang.lu@jhu.edu.
Johns Hopkins Medicine · USThe University of Texas at Dallas · USJohns Hopkins University · USKennedy Krieger Institute · USNational Institute on Drug Abuse · USNational Institutes of Health · US

Funding

Development of MRI Techniques for Drug-Abuse ApplicationsZIADA000469 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI YANG, YIHONG · 2009 to 2025
$23.5M
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
Neuroimaging of Dedifferentiation and Memory Across the LifespanR37AG006265 · NIA · UNIVERSITY OF TEXAS DALLAS · PI PARK, DENISE CORTIS · 2006 to 2016
$8.5M
Dallas Lifespan Brain Study-Wave 3: Neurodegeneration & Resilience in CognitionRF1AG006265 · NIA · UNIVERSITY OF TEXAS DALLAS · PI PARK, DENISE CORTIS · 2017 to 2019
$7.1M
Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
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
Cognition and cerebrovascular function across the lifespanR01AG042753 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2013 to 2015
$841k
Vascular Effects on Normal Neural and Cognitive AgingR00AG036848 · NIA · UNIVERSITY OF TEXAS DALLAS · PI RODRIGUE, KAREN M · 2012 to 2014
$733k
Advanced MRI methods to image vascular physiology with respiratory manipulationsR21NS095342 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2016 to 2017
$476k
NIA NIH HHS R00 AG036848NIA NIH HHS R01 AG042753NIA NIH HHS R37 AG006265NIA NIH HHS RF1 AG006265NIBIB NIH HHS P41 EB015909NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS R21 NS095342
6 · The paper itself

Abstract

Functional connectivity MRI, based on Blood-Oxygenation-Level-Dependent (BOLD) signals, is typically performed while the subject is at rest. On the other hand, BOLD is also widely used in physiological imaging such as cerebrovascular reactivity (CVR) mapping using hypercapnia (HC) as a modulator. We therefore hypothesize that hypercapnia BOLD data can be used to extract FC metrics after factoring out the effects of the physiological modulation, which will allow simultaneous assessment of neural and vascular function and may be particularly important in populations such as aging and cerebrovascular diseases. The present work aims to systematically examine the feasibility of hypercapnia BOLD-based FC mapping using three commonly applied analysis methods, specifically dual-regression Independent Component Analysis (ICA), region-based FC matrix analysis, and graph-theory based network analysis, in a large cohort of 170 healthy subjects ranging from 20 to 88 years old. To validate the hypercapnia BOLD results, we also compared these FC metrics with those obtained from conventional resting-state data. ICA analysis of the hypercapnia BOLD data revealed FC maps that strongly resembled those reported in the literature. FC matrix using region-based analysis showed a correlation of 0.97 on the group-level and 0.54 ± 0.10 on the individual-level, when comparing between hypercapnia and resting-state results. Although the correspondence on the individual-level was moderate, this was primarily attributed to variations intrinsic to FC mapping, because a corresponding resting-vs-resting comparison in a sub-cohort (N = 39) revealed a similar correlation of 0.57 ± 0.09. Graph-theory computations were also feasible in hypercapnia BOLD data and indices of global efficiency, clustering coefficient, modularity, and segregation were successfully derived. Hypercapnia FC results revealed age-dependent differences in which within-network connections generally exhibited an age-dependent decrease while between-network connections showed an age-dependent increase.

Indexed as

AdultAgedAged, 80 and overCerebellumCerebral CortexConnectomeFemaleHumansHypercapniaMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeurovascular CouplingYoung AdultAgingCerebrovascular reactivityCO(2) inhalationFunctional connectivityHypercapniaResting-state functional MRI

Identifiers

PMID30463025
PMCPMC6338507
OpenAlexW2901512353

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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.