Evidence map›Paper›PMID 29271045›Full record

ArticleMagnetic resonance in medicine2018

Quantitative assessment of cerebral venous blood T

Zhiliang Wei, Jiadi Xu, Peiying Liu, Lin Chen, Wenbo Li, Peter van Zijl, Hanzhang Lu

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  14. Review
  15. High-resolution relaxometry-based calibrated fMRI in murine brain: Metabolic differences between awake and anesthetized states.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
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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.

Zhiliang WeiRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jiadi XuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peiying LiuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Lin ChenRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Wenbo LiRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peter van ZijlRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Hanzhang LuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

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
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
Modulation of brain activity by control of the inspired airR01NS067015 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2010 to 2013
$1.5M
Cognition and cerebrovascular function across the lifespanR01AG042753 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2013 to 2015
$841k
Advanced MRI methods to image vascular physiology with respiratory manipulationsR21NS095342 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2016 to 2017
$476k
Quantification of brain metabolic rate in neonates using MRIR21NS085634 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LIU, PEIYING · 2014 to 2015
$441k
NIA NIH HHS R01 AG042753NIA NIH HHS R01 AG047972NIBIB NIH HHS P41 EB015909NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS067015NINDS NIH HHS R21 NS085634NINDS NIH HHS R21 NS095342
6 · The paper itself

Abstract

purposeTo develop a non-contrast-agent MRI technique to quantify cerebral venous T

methodsWe implemented and optimized a T

resultsOur technical studies suggested that, for efficient data acquisition with minimal bias in estimated T

conclusionWe have developed and optimized a noninvasive method to quantify cerebral venous blood T

Indexed as

AgingBrainAnestheticsAnimalsCerebrovascular CirculationHyperoxiaMagnetic Resonance ImagingMiceMice, Inbred BALB CMice, Inbred C57BLOximetryOxygenAnestheticsOxygenaging effectanesthesia effectblood oxygenationcerebral venous T2hyperoxiamouseMRITRUST

Identifiers

PMID29271045
PMCPMC5910286

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.