Evidence map›Paper›PMID 30467687›Full record

ArticleMagma (New York, N.Y.)2019

Effects of carrier frequency mismatch on frequency-selective spectral editing.

Li An, Maria Ferraris Araneta, Christopher Johnson, Jun Shen

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Detection ofScientific reports · 2022
    Article
  7. Determination of Brain Metabolite TJournal of magnetic resonance imaging : JMRI · 2020
    Article
  8. Signal enhancement of glutamine and glutathione by single-step spectral editing.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2020
    Article
  9. Review
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

4 authors.

Li AnSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. li.an@nih.gov.ORCID http://orcid.org/0000-0001-8979-852X
Maria Ferraris AranetaSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.
Christopher JohnsonSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.
Jun ShenSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.

Funding

Magnetic Resonance Spectroscopy and Imaging Studies of Brain FunctionsZIAMH002803 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SHEN, JUN · 2009 to 2025
$24.9M
Magnetic Resonance Spectroscopy Core FacilityZICMH002894 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SHEN, JUN · 2009 to 2024
$13.5M
MRS and Imaging Studies of Brain FunctionsZ01MH002803 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SHEN, JUN · 2003 to 2008
$1.8M
Intramural NIH HHS Z01 MH002803Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

objectivesThis study sought to investigate the effects of carrier frequency mismatch on spectral editing and its correction by frequency matching of basis functions. MATERIALS AND

methodsFull density matrix computations and Monte-Carlo simulations based on magnetic resonance spectroscopy (MRS) data collected from five healthy volunteers at 7 T were used to analyze the effects of carrier frequency mismatch on spectral editing. Relative errors in metabolite quantification were calculated with and without frequency matching of basis functions. The algorithm for numerical computation of basis functions was also improved for higher computational efficiency.

resultsWe found significant errors without frequency matching of basis functions when carrier frequency mismatch was generally considered negligible. By matching basis functions with the history of frequency deviation, the mean errors in glutamate, glutamine, γ-aminobutyric acid, and glutathione concentrations were reduced from 3.90%, 1.85%, 11.53%, and 3.43% to 0.18%, 0.34%, 0.40%, and 0.51%, respectively.

conclusionMatching basis functions to frequency deviation history was necessary even when frequency deviations during frequency-selective spectral editing were fairly small. Basis set frequency matching significantly improved accuracy in the quantification of glutamate, glutamine, γ-aminobutyric acid, and glutathione concentrations.

Indexed as

AlgorithmsComputer Simulationgamma-Aminobutyric AcidGlutamic AcidGlutamineGlutathioneGyrus CinguliHealthy VolunteersHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMonte Carlo MethodSignal-To-Noise Ratiogamma-Aminobutyric AcidGlutamic AcidGlutamineGlutathioneGABAGlutamateGlutamineGlutathioneSpectral editing

Identifiers

PMID30467687
PMCPMC6995993

What OpenQuestion holds

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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.