Evidence map›Paper›PMID 40781246›Full record

ArticleScientific data2025

MRS-BIDS, an extension to the Brain Imaging Data Structure for magnetic resonance spectroscopy.

Amy E Bouchard, Dickson Wong, Wolfgang Bogner, Rémi Gau, Yaroslav O Halchenko, Damon G Lamb, Christopher J Markiewicz, Paul G Mullins, Guiomar Niso, Georg Oeltzschner and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Amy E BouchardDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Dickson WongDepartment of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Wolfgang BognerComprehensive Center for AI in Medicine (CAIM), Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-0130-3463
Rémi GauUniversité Paris-Saclay, CEA, Inria, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-1535-9767
Yaroslav O HalchenkoDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
Damon G LambDepartments of Psychiatry, Neuroscience, and Biomedical Engineering, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-0389-7610
Christopher J MarkiewiczDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6533-164X
Paul G MullinsBangor Imaging Unit, School of Psychology and Sport Science, Bangor University, Bangor, UK.
Guiomar NisoInstituto Cajal, CSIC, Madrid, Spain.ORCID http://orcid.org/0000-0001-5872-8924
Georg OeltzschnerRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
BIDS Maintainers
William T ClarkeWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Martin WilsonCentre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK.
Mark MikkelsenDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA. mam4041@med.cornell.edu.ORCID http://orcid.org/0000-0002-0349-3782

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Richard Anthony Edward Edden · 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
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
Optimized Multi-Metabolite Edited MRS at 3TK99EB028828 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI MIKKELSEN, MARK · 2020 to 2021
$169k
Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) P34198NIA NIH HHS R00 AG062230NIBIB NIH HHS K99 EB028828NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB016089NIBIB NIH HHS R01 EB023963NIBIB NIH HHS R01 EB035529NIBIB NIH HHS R21 EB033516U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) K99EB028828U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) P41EB031771U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB016089U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB023963U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB035529U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R21EB033516U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R00AG062230Wellcome Trust (Wellcome) 225924/Z/22/Z
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40781246
PMCPMC12334687

What OpenQuestion holds

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Registered trials

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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.