Evidence map›Paper›PMID 32342644›Full record

ArticleBrain and behavior2020

Static and dynamic functional connectivity analysis of cerebrovascular reactivity: An fMRI study.

Noah Lewis, Hanzhang Lu, Peiying Liu, Xirui Hou, Eswar Damaraju, Armin Iraji, Vince Calhoun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 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

7 authors.

Noah LewisTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia institute of Technology, Emory University, Atlanta, GA, USA.ORCID 0000-0002-5712-2434
Hanzhang LuJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Peiying LiuJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Xirui HouJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Eswar DamarajuTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia institute of Technology, Emory University, Atlanta, GA, USA.
Armin IrajiTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia institute of Technology, Emory University, Atlanta, GA, USA.
Vince CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia institute of Technology, Emory University, Atlanta, GA, USA.

Funding

Neuroimaging of Dedifferentiation and Memory Across the LifespanR37AG006265 · NIA · UNIVERSITY OF TEXAS DALLAS · PI PARK, DENISE CORTIS · 2006 to 2016
$8.5M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Cognition and Cerebrovascular function across the lifespanR21AG034318 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2009 to 2010
$379k
NIA NIH HHS R21 AG034318NIA NIH HHS R37 AG006265NIBIB NIH HHS R01 EB020407
6 · The paper itself

Abstract

backgroundCerebrovascular reactivity (CVR) is an important aspect of brain function, and as such it is important to understand relationship between CVR and functional connectivity.

methodsThis research studied the role of CVR, or the brain's ability to react to vasoactive stimuli on brain functional connectivity by scanning subjects with blood-oxygenation-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) while they periodically inhale room air and a CO 2-enriched gas mixture. We developed a new metric to measure the effect of CVR on each intrinsic connectivity network (ICN), which contrasts to voxel-wise CVR. We also studied the changes in whole-brain connectivity patterns using both static functional network connectivity (sFNC) and dynamic FNC (dFNC).

resultsWe found that network connectivity is generally weaker during vascular dilation, which is supported by previous research. The dFNC analysis revealed that participants did not return to the pre-CO 2 inhalation state, suggesting that one-minute periods of room-air inhalation is not enough for the CO 2 effect to fully dissipate.

conclusionsCerebrovascular reactivity is one tool that the cerebrovascular system uses to ensure the constant, finely-tuned flow of oxygen to function properly. Understanding the relationship between CVR and brain dynamism can provide unique information about cerebrovascular diseases and general brain function. We observed that CVR has a wide, but consistent relationship to connectivity patterns between functional networks.

Indexed as

Cerebrovascular DisordersMagnetic Resonance ImagingBrainCerebrovascular CirculationHumansOxygenOxygencerebrovascular reactivityfunctional magnetic resonance imagingfunctional network connectivityneuroimaging

Identifiers

PMID32342644
PMCPMC7303385

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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.