Evidence map›Paper›PMID 39444343›Full record

ArticleMagnetic resonance in medicine2025

Metabolite T

Kathleen E Hupfeld, Saipavitra Murali-Manohar, Helge J Zöllner, Yulu Song, Christopher W Davies-Jenkins, Aaron T Gudmundson, Dunja Simicic, Gizeaddis Lamesgin Simegn, Emily E Carter, Steve C N Hui and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. A Digital Phantom for MR Spectroscopy Data Simulation.Magnetic resonance in medicine · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Age dependency of neurometabolite TMagnetic resonance in medicine · 2025
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Kathleen E HupfeldRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Saipavitra Murali-ManoharRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-4978-0736
Helge J ZöllnerRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7148-292X
Yulu SongRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Christopher W Davies-JenkinsRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6015-762X
Aaron T GudmundsonRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-5104-0959
Dunja SimicicRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6600-2696
Gizeaddis Lamesgin SimegnRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Emily E CarterDepartment of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA.
Steve C N HuiDeveloping Brain Institute, Children's National Hospital, Washington, District of Columbia, USA.ORCID 0000-0002-1523-4040
Vivek YedavalliRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Georg OeltzschnerRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-3083-9811
Eric C PorgesDepartment of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA.
Richard A E EddenRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0671-7374

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
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
Edited Magnetic Resonance Spectroscopy of the Pediatric BrainR01EB032788 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Richard Anthony Edward Edden · 2023 to 2026
$2.7M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Model Selection for Magnetic Resonance SpectroscopyR01EB035529 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Georg Oeltzschner · 2024 to 2026
$1.7M
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.R00AG062230 · NIA · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2021 to 2023
$735k
General Linear Modeling For Magnetic Resonance SpectroscopyR21EB033516 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2022 to 2024
$670k
Radiofrequency Transmit and Receive Upgrade for 3T Research ScannerS10RR027845 · NCRR · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2009 to 2009
$500k
Cortical Inhibition and Mobility in Older AdultsK00AG068440 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUPFELD, KATHLEEN ELIZABETH · 2022 to 2024
$222k
Brain metabolism across the lifespan using multi-parametric MRSK99AG080084 · NIA · JOHNS HOPKINS UNIVERSITY · PI ZOELLNER, HELGE JOERN · 2023 to 2024
$212k
NCRR NIH HHS S10 RR027845NIA NIH HHS K00 AG068440NIA NIH HHS K99 AG080084NIA NIH HHS R00 AG062230NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB016089NIBIB NIH HHS R01 EB023963NIBIB NIH HHS R01 EB032788NIBIB NIH HHS R01 EB035529NIBIB NIH HHS R21 EB033516NICHD NIH HHS P50 HD103538NIH HHS S10 OD021648
6 · The paper itself

Abstract

purposeRelaxation correction is crucial for accurately estimating metabolite concentrations measured using in vivo MRS. However, the majority of MRS quantification routines assume that relaxation values remain constant across the lifespan, despite prior evidence of T

methodsWe recruited approximately 10 male and 10 female participants from each decade of life: 18-29, 30-39, 40-49, 50-59, and 60+ y old (n = 101 total). We collected PRESS data at eight TEs (30, 50, 74, 101, 135, 179, 241, and 350 ms) from voxels placed in white-matter-rich centrum semiovale (CSO) and gray-matter-rich posterior cingulate cortex (PCC). We quantified metabolite amplitudes using Osprey and fit exponential decay curves to estimate T

resultsOlder age was correlated with shorter T

conclusionThese findings underscore the importance of considering metabolite T

Indexed as

AgingMagnetic Resonance SpectroscopyAdolescentAdultAgedBrainCohort StudiesFemaleGray MatterHumansLongevityMagnetic Resonance ImagingMaleMiddle AgedWhite MatterYoung Adulthealthy agingmagnetic resonance spectroscopy (MRS)metabolitesT2 relaxation timesTE series

Identifiers

PMID39444343
PMCPMC11682919

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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.