Evidence map›Paper›PMID 32885165›Full record

ArticleFrontiers in artificial intelligence2020

A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO

Michael Germuska, Hannah Chandler, Thomas Okell, Fabrizio Fasano, Valentina Tomassini, Kevin Murphy, Richard Wise

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  3. Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  4. Review
  5. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMROJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Michael GermuskaCUBRIC, Department of Psychology, Cardiff University, Cardiff, United Kingdom.
Hannah ChandlerCUBRIC, Department of Psychology, Cardiff University, Cardiff, United Kingdom.
Thomas OkellWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.
Fabrizio FasanoSiemens Healthcare Ltd, Frimley, Camberley, UK.
Valentina TomassiniCUBRIC, Department of Psychology, Cardiff University, Cardiff, United Kingdom.
Kevin MurphyCUBRIC, Department of Psychology, Cardiff University, Cardiff, United Kingdom.
Richard WiseCUBRIC, Department of Psychology, Cardiff University, Cardiff, United Kingdom.
Cardiff University · GBSiemens (United Kingdom) · GBUniversity of Chieti-Pescara · ITUniversity of Oxford · GB

Funding

Wellcome Trust 104943Wellcome Trust 200804/Z/16/Z
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) offers the possibility to non-invasively map the brain's metabolic oxygen consumption (CMRO

Indexed as

artificial neural networksBOLDcalibrated-fMRICMRO2machine learningmagnetic resonance imagingmetabolismOEFoxygen extraction fraction

Identifiers

PMID32885165
PMCPMC7116003
OpenAlexW3014165472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.