Evidence map›Paper›PMID 33956374›Full record

ArticleNMR in biomedicine2021

Hippocampal single-voxel MR spectroscopy with a long echo time at 3 T using semi-LASER sequence.

Martin Gajdošík, Karl Landheer, Kelley M Swanberg, Fatemeh Adlparvar, Guillaume Madelin, Wolfgang Bogner, Christoph Juchem, Ivan I Kirov

Abstract read
In one paragraph

Article in NMR in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Optimized Long-TEJournal of magnetic resonance imaging : JMRI · 2025
    Article
  3. 2DJournal of magnetic resonance imaging : JMRI · 2025
    Article
  4. Article
  5. 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

8 authors.

Martin GajdošíkCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-1570-2825
Karl LandheerDepartment of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, New York, USA.ORCID 0000-0001-5012-3007
Kelley M SwanbergDepartment of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, New York, USA.ORCID 0000-0002-1254-190X
Fatemeh AdlparvarCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Guillaume MadelinCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-5556-5792
Wolfgang BognerHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0130-3463
Christoph JuchemDepartment of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, New York, USA.ORCID 0000-0002-1505-201X
Ivan I KirovCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0001-5641-8578

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
Quantitative Sodium MR Imaging and Proton MR Spectroscopy in Traumatic Brain InjuryR01NS097494 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIROV, IVAN IVANOV, MADELIN, GUILLAUME · 2016 to 2020
$2.4M
Multiparametric Magnetic Resonance Spectroscopy for the Early Detection of Neurodegeneration in Relapsing-Remitting Multiple SclerosisR21NS112853 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIROV, IVAN IVANOV, TAL, ASSAF · 2019 to 2019
$417k
NIA NIH HHS P30 AG008051NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS097494NINDS NIH HHS R21 NS112853
6 · The paper itself

Abstract

The hippocampus is one of the most challenging brain regions for proton MR spectroscopy (MRS) applications. Moreover, quantification of J-coupled species such as myo-inositol (m-Ins) and glutamate + glutamine (Glx) is affected by the presence of macromolecular background. While long echo time (TE) MRS eliminates the macromolecules, it also decreases the m-Ins and Glx signal and, as a result, these metabolites are studied mainly with short TE. Here, we investigate the feasibility of reproducibly measuring their concentrations at a long TE of 120 ms, using a semi-adiabatic localization by adiabatic selective refocusing (sLASER) sequence, as this sequence was recently recommended as a standard for clinical MRS. Gradient offset-independent adiabatic refocusing pulses were implemented, and an optimal long TE for the detection of m-Ins and Glx was determined using the T

Indexed as

AlgorithmsMagnetic Resonance SpectroscopyAdultComputer SimulationFemaleHippocampusHumansMaleMetabolomeTime FactorsbrainglutamateGlxhippocampuslong TEMRSspectroscopy

Identifiers

PMID33956374
PMCPMC10874619

What OpenQuestion holds

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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 OpenQuestion graph.