Evidence map›Paper›PMID 36711794›Full record

ArticlebioRxiv : the preprint server for biology2023

sLASER and PRESS Perform Similarly at Revealing Metabolite-Age Correlations.

Steve C N Hui, Tao Gong, Helge J Zöllner, Kathleen E Hupfeld, Aaron T Gudmundson, Saipavitra Murali-Manohar, Christopher W Davies-Jenkins, Yulu Song, Yufan Chen, Georg Oeltzschner and 2 more

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

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Steve C N HuiThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tao GongDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Helge J ZöllnerThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kathleen E HupfeldThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aaron T GudmundsonThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Saipavitra Murali-ManoharThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher W Davies-JenkinsThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yulu SongThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yufan ChenDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Georg OeltzschnerThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Guangbin WangDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Richard A E EddenThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kennedy Krieger Institute · USShandong University · CN

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Peter CM Van Zijl · 2021 to 2026
$9.9M
Universal GABA-edited MRS at 3TR01EB016089 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Richard Anthony Edward Edden · 2013 to 2026
$5.4M
Simultaneous Hadamard Editing of GABA and GlutathioneR01EB023963 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI EDDEN, RICHARD ANTHONY EDWARD · 2017 to 2024
$3.8M
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.R00AG062230 · NIA · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2021 to 2023
$735k
Neurometabolic profile of mild cognitive impairment using multiplexed edited MRSR21AG060245 · NIA · JOHNS HOPKINS UNIVERSITY · PI EDDEN, RICHARD ANTHONY EDWARD · 2018 to 2019
$466k
Neurometabolic profile of tobacco smoking in HIV-infected IndividualsK99DA051315 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI SALEH, MUHAMMAD G · 2021 to 2022
$347k
Cortical Inhibition and Mobility in Older AdultsK00AG068440 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUPFELD, KATHLEEN ELIZABETH · 2022 to 2024
$222k
NIA NIH HHS K00 AG068440NIA NIH HHS R00 AG062230NIA NIH HHS R21 AG060245NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB016089NIBIB NIH HHS R01 EB023963NIDA NIH HHS K99 DA051315
6 · The paper itself

Abstract

Purpose: To compare the respective ability of PRESS and sLASER to reveal biological relationships, using age as a validation covariate. Methods: MRS data were acquired from 102 healthy volunteers using PRESS and sLASER in centrum semiovale (CSO) and posterior cingulate cortex (PCC) regions. Acquisition parameters included TR/TE 2000/30 ms; 96 transients; 2048 datapoints sampled at 2 kHz.Spectra were analyzed using Osprey. Signal-to-noise ratio (SNR), full-width-half-maximum linewidth of tCr, and metabolite concentrations were extracted. A linear model was used to compare SNR and linewidth. Paired t-tests were used to assess differences in metabolite measurements between PRESS and sLASER. Correlations were used to evaluate the relationship between PRESS and sLASER metabolite estimates, as well as the strength of each metabolite-age relationship. Coefficients of variation were calculated to assess inter-subject variability in each metabolite measurement. Results: SNR and linewidth were significantly higher (p<0.05) for sLASER than PRESS. Paired t-tests showed significant differences between PRESS and sLASER in most metabolite measurements. Metabolite measures were significantly correlated (p<0.05) for most metabolites between the two methods except GABA, Gln and Lac in CSO and GSH, Lac and NAAG in PCC. Metabolite-age relationships were consistently identified using both PRESS and sLASER. Similar CVs were observed for most metabolites. Conclusion: The study results suggest strong agreement between PRESS and sLASER in identifying relationships between brain metabolites and age in CSO and PCC data acquired at 3T. sLASER is technically desirable due to the reduced chemical shift displacement artifact; however, PRESS performed similarly in 'good' brain regions at clinical field strength.

Indexed as

aginglocalizationmagnetic resonance spectroscopyPRESSsLASER

Identifiers

PMID36711794
PMCPMC9882274
OpenAlexW4317600699

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.