Evidence map›Paper›PMID 37939974›Full record

ArticleMagnetic resonance imaging2024

Automatic Rejection based on Tissue Signal (ARTS) for motion-corrected quantification of cerebral venous oxygenation in neonates and older adults.

Yifan Gou, W Christopher Golden, Zixuan Lin, Jennifer Shepard, Aylin Tekes, Zhiyi Hu, Xin Li, Kumiko Oishi, Marilyn Albert, Hanzhang Lu and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Task-evoked deactivations: dissociation between BOLD fMRI and FDG.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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

12 authors at 3 institutions in 1 country.

Yifan GouDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
W Christopher GoldenDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Zixuan LinThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jennifer ShepardDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aylin TekesThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Zhiyi HuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Xin LiThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kumiko OishiCenter for Imaging Science, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hanzhang LuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; The Russell H. Morgan Department of Radiology & Radiological Science, 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.
Peiying LiuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Dengrong JiangThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: djiang9@jhmi.edu.
Johns Hopkins University · USKennedy Krieger Institute · USUniversity of Maryland, Baltimore · US

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
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 small vessel vascular contributions to cognitive impairment and dementia (VCID) biomarkersU01NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2023 to 2025
$4.1M
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
Validation of small vessel vascular contributions to cognitive impairment and dementia (VCID) biomarkersUF1NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2021 to 2021
$2.6M
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's diseaseR01AG064792 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2020 to 2023
$2.6M
Assessment of Brain Oxygen Consumption in Neonates using MRIR01NS109029 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI LIU, PEIYING · 2018 to 2023
$2.4M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsRF1AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2021 to 2021
$2.4M
Development of MRI microvascular biomarkers in cognitive impairment and dementiaUH2NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2016 to 2018
$2.3M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
MRI assessment of cerebral oxygen extraction fraction (OEF) in the medial temporal lobe as a biomarker in Alzheimer's diseaseR21AG079098 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2022 to 2022
$450k
NIA NIH HHS R01 AG064792NIA NIH HHS R21 AG079098NIA NIH HHS RF1 AG071515NIBIB NIH HHS P41 EB031771NICHD NIH HHS P50 HD103538NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS R01 NS109029NINDS NIH HHS U01 NS100588NINDS NIH HHS UF1 NS100588NINDS NIH HHS UH2 NS100588NINDS NIH HHS UH3 NS100588
6 · The paper itself

Abstract

objectiveCerebral venous oxygenation (Y

methodsTRUST MRI data were collected from a neonatal cohort (N = 37, 16 females, gestational age = 39.12 ± 1.11 weeks, postnatal age = 1.89 ± 0.74 days) and an older adult cohort (N = 223, 134 females, age = 68.02 ± 9.01 years). Manual identification of motion-corrupted images was conducted for both cohorts to serve as a gold-standard. 9.3% of the images in the neonatal datasets and 0.4% of the images in the older adult datasets were manually identified as motion-contaminated. The ARTS algorithm was trained using the neonatal datasets. TRUST Y

resultsIn the neonatal datasets, the ARTS algorithm exhibited a sensitivity of 0.95 and a specificity of 0.97 in detecting motion-contaminated images. Compared to no motion exclusion, ARTS significantly reduced the ΔR

conclusionARTS can improve the reliability of Y

Indexed as

Alzheimer DiseaseBrainAgedBiomarkersChild, PreschoolFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMiddle AgedOxygenReproducibility of ResultsBiomarkersOxygenMotion correctionNeonateOlder adultOxygen extractionTRUST MRIVenous oxygenation

Identifiers

PMID37939974
PMCPMC10841989
OpenAlexW4388460336

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.