Evidence map›Paper›PMID 30952200›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2020

Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.

Stephan Kaczmarz, Jens Göttler, Claus Zimmer, Fahmeed Hyder, Christine Preibisch

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Static and dynamic BOLD fMRI components along white matter fibre tracts and their dependence on the orientation of the local diffusion tensor axis relative to the BJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  10. Review
  11. Mapping oxidative metabolism in the human brain with calibrated fMRI in health and disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  12. Article
  13. Article
  14. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  15. Article
  16. Article
  17. Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  18. 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

5 authors at 2 institutions in 2 countries.

Stephan KaczmarzDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0001-7694-7012
Jens GöttlerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5746-2156
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Fahmeed HyderDepartments of Radiology & Biomedical Imaging and of Biomedical Engineering, Magnetic Resonance Research Center, Yale University, New Haven, CT, USA.
Christine PreibischDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0003-4067-1928
TUM Klinikum · DEYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NeurophysiologicP30NS052519 · NINDS · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2007 to 2017
$6.7M
Energetics of Neuronal Populations by fMRIR01MH067528 · NIMH · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED · 2002 to 2021
$5.9M
MRS validation of computational metabolic modeling of human brain function to determine energetic disruptions underlying fMRI-derived functional connectivity in degenerative or psychiatric disordersR01NS100106 · NINDS · YALE UNIVERSITY · PI HYDER, DEWAN SYED FAHMEED, ROTHMAN, DOUGLAS LYLE · 2017 to 2021
$959k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH067528NINDS NIH HHS P30 NS052519NINDS NIH HHS R01 NS100106
6 · The paper itself

Abstract

Relative oxygen extraction fraction (rOEF) is a fundamental indicator of cerebral metabolic function. An easily applicable method for magnetic resonance imaging (MRI) based rOEF mapping is the multi-parametric quantitative blood oxygenation level dependent (mq-BOLD) approach with separate acquisitions of transverse relaxation times

Indexed as

AgedAnisotropyBrain MappingCerebral Blood VolumeDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleOxygenWhite MatterOxygenAnisotropydiffusion tensor imagingmulti-parametric quantitative BOLDoxygen extraction fractionwhite matter

Identifiers

PMID30952200
PMCPMC7168796
OpenAlexW2932808370

What OpenQuestion holds

Textmetadata
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.