Evidence map›Paper›PMID 34841564›Full record

ArticleMagnetic resonance in medicine2022

The macromolecular MR spectrum does not change with healthy aging.

Steve C N Hui, Tao Gong, Helge J Zöllner, Yulu Song, Saipavitra Murali-Manohar, Georg Oeltzschner, Mark Mikkelsen, Sofie Tapper, Yufan Chen, Muhammad G Saleh and 4 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  6. Review
  7. Model-based frequency-and-phase correction ofMagnetic resonance in medicine · 2024
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  8. Article
  9. Metabolite TNMR in biomedicine · 2024
    Article
  10. Article
  11. Article
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  13. Article
  14. Model-based frequency-and-phase correction ofbioRxiv : the preprint server for biology · 2024
    Article
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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

14 authors.

Steve C N HuiThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-1523-4040
Tao GongDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Helge J ZöllnerThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7148-292X
Yulu SongThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Saipavitra Murali-ManoharThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Georg OeltzschnerThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mark MikkelsenThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0349-3782
Sofie TapperThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yufan ChenDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Muhammad G SalehDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-6921-112X
Eric C PorgesCenter for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA.
Weibo ChenPhilips Healthcare, Shanghai, China.
Guangbin WangDepartment of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0001-7410-5540
Richard A E EddenThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0671-7374

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, 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
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
Cognitive and functional deficits associated with reduced cortical GABA in HIV-infected heavy drinkersK01AA025306 · NIAAA · UNIVERSITY OF FLORIDA · PI PORGES, ERIC · 2017 to 2021
$801k
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
Measuring Altered Glutathione in Children with Autism Spectrum DisorderR21HD100869 · NICHD · JOHNS HOPKINS UNIVERSITY · PI EDDEN, RICHARD ANTHONY EDWARD · 2020 to 2021
$463k
Neurometabolic profile of tobacco smoking in HIV-infected IndividualsK99DA051315 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI SALEH, MUHAMMAD G · 2021 to 2022
$347k
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.K99AG062230 · NIA · JOHNS HOPKINS UNIVERSITY · PI OELTZSCHNER, GEORG · 2019 to 2020
$171k
NIAAA NIH HHS K01 AA025306NIA NIH HHS K99 AG062230NIA NIH HHS R00 AG062230NIA NIH HHS R21 AG060245NIBIB NIH HHS P41 EB015909NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB016089NIBIB NIH HHS R01 EB023963NICHD NIH HHS R21 HD100869NIDA NIH HHS K99 DA051315NIH HHS S10 OD021648
6 · The paper itself

Abstract

purposeTo acquire the mobile macromolecule (MM) spectrum from healthy participants, and to investigate changes in the signals with age and sex.

methods102 volunteers (49 M/53 F) between 20 and 69 years were recruited for in vivo data acquisition in the centrum semiovale (CSO) and posterior cingulate cortex (PCC). Spectral data were acquired at 3T using PRESS localization with a voxel size of 30 × 26 × 26 mm

resultsMM spectra were successfully acquired in 99 (CSO) and 96 (PCC) of 102 subjects. No significant correlations were seen between age and MM signals. One-way ANOVA also suggested no age-group differences for any MM peak (all p > .004). No differences were observed between sex groups. WM and GM voxel fractions showed a significant (p < .05) negative linear association with age in the WM-predominant CSO (R = -0.29) and GM-predominant PCC regions (R = -0.57) respectively while CSF increased significantly with age in both regions.

conclusionOur findings suggest that a pre-defined MM basis function can be used for linear combination modeling of metabolite data from different age and sex groups.

Indexed as

Healthy AgingBrainHealthy VolunteersHumansMacromolecular SubstancesMagnetic Resonance SpectroscopySoftwareMacromolecular Substanceshealthy agingmacromoleculemagnetic resonance spectroscopypre-inversion pulsePRESS

Identifiers

PMID34841564
PMCPMC8935352

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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.