Evidence map›Paper›PMID 41949812›Full record

ArticleMagma (New York, N.Y.)2026

MRS4Brain: a software for preclinical proton and deuterium-based MR spectroscopic imaging data.

Brayan Alves, Tan Toi Phan, Guillaume Briand, Alessio Siviglia, Gianna Nossa, Jessie Mosso, Eloïse Mougel, Jamie Near, Thi Ngoc Anh Dinh, Omar Zenteno and 3 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Brayan Alves *CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Tan Toi Phan *CIBM Center for Biomedical Imaging, Lausanne, Switzerland. tantoi.phan@epfl.ch.ORCID http://orcid.org/0000-0002-8073-2898
Guillaume BriandCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Alessio SivigliaCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0009-0003-4905-7577
Gianna NossaCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0009-0009-2745-9464
Jessie MossoCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-6318-9507
Eloïse MougelCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0009-0007-5926-2573
Jamie NearPhysical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3516-936X
Thi Ngoc Anh DinhCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Omar ZentenoCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-4609-7464
Bernard LanzCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5136-075X
Thanh Phong LêCIBM Center for Biomedical Imaging, Lausanne, Switzerland. thanh.le@epfl.ch.ORCID http://orcid.org/0000-0002-9615-5642
Cristina CudalbuCIBM Center for Biomedical Imaging, Lausanne, Switzerland. cristina.cudalbu@epfl.ch.ORCID http://orcid.org/0000-0003-4582-2465

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 10000465Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 10006046Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 201218Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 207935
6 · The paper itself

Abstract

objectivesMagnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for probing metabolism. MRSI enables spatial mapping of metabolite distributions, offering insights into regional metabolic heterogeneity that single-voxel spectroscopy (SVS) cannot capture. However, MRSI produces large multidimensional datasets and requires complex processing pipelines, limiting reproducibility and accessibility. While human studies benefit from advanced processing tools, similar developments in preclinical research remain scarce, highlighting a demand for practical tools accessible to non-experts. Furthermore, recent advances in deuterium-based MRSI have opened metabolic pathway studies, introducing additional dimensions for kinetic information and specific positional labeling, thus substantially increasing dataset complexity and analysis demands.

methodsTo address these needs, we introduce the MRS4Brain Toolbox, a freely available MATLAB-based platform for preclinical MRSI supporting proton, deuterium, and other nuclei, with extended functionalities for SVS and diffusion-weighted spectroscopy.

resultsThe toolbox integrates reconstruction, preprocessing, quantification, quality control, brain segmentation automatically overlaid on metabolite maps, modeling, and statistical analysis into unified workflows accessible via a graphical interface.

conclusionBy streamlining data processing and reducing technical barriers, MRS4Brain Toolbox promotes reproducibility, harmonization, and broader adoption of basic and advanced spectroscopic techniques in preclinical studies, ultimately facilitating translational metabolic research.

Indexed as

DeuteriumMagnetic Resonance ImagingSoftwareAlgorithmsAnimalsBrainDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyProton Magnetic Resonance SpectroscopyProtonsReproducibility of ResultsDeuteriumProtonsBrain metabolismData processingDeuterium metabolic imagingMagnetic resonance spectroscopyPreclinical magnetic resonance spectroscopic imaging

Identifiers

PMID41949812

What OpenQuestion holds

Textmetadata
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.