Evidence map›Paper›PMID 36681860›Full record

ArticleNMR in biomedicine2023

Neurochemical correlations in short echo time proton magnetic resonance spectroscopy.

Sungtak Hong, Jun Shen

Abstract read
In one paragraph

Article in NMR in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. A data-driven algorithm to determineMagnetic resonance in medicine · 2026
    Article
  3. Article
  4. Article
  5. Metabolic coupling between glutamate and N-acetylaspartate in the human brain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  6. Article
  7. Article
  8. 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

2 authors.

Sungtak HongSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Jun ShenSection on Magnetic Resonance Spectroscopy, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, 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
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 ZIA MH002803
6 · The paper itself

Abstract

Neurochemical concentrations determined by magnetic resonance spectroscopy (MRS) have been treated as statistically independent measurements in various clinical MRS studies. However, spectral overlap, independent of any biological effects, could lead to significant correlations between neurochemical concentrations extracted from spectral fitting of MRS data, confounding determination of correlations of biological origin. Short echo time (TE) proton MRS spectra are very crowded because of the comparatively narrow chemical shift dispersion of proton nuclear spins. In this study, the complex neurochemical correlations of spectral origin in short-TE MRS spectra were quantified. The effects of macromolecules and the background spectral baseline on metabolite-metabolite correlations were also analyzed. Our results demonstrate the importance of factoring in spectral correlations when correlating overlapping metabolite signals in short-TE spectra with clinical parameters.

Indexed as

BrainProtonsMacromolecular SubstancesMagnetic Resonance SpectroscopyProton Magnetic Resonance SpectroscopyMacromolecular SubstancesProtonsclinical magnetic resonance spectroscopymetabolite correlationsMonte Carlo analysispartial correlation coefficientPearson's correlation coefficient

Identifiers

PMID36681860
PMCPMC11832064

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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.