Evidence map›Paper›PMID 41949813›Full record

ReviewMagma (New York, N.Y.)2026

Mastering preclinical proton and deuterium-based fast MRSI in the brain: from setup to execution.

Gianna Nossa, Eloïse Mougel, Brayan Alves, Tan Toi Phan, Alessio Siviglia, Thi Ngoc Anh Dinh, Thanh Phong Lê, Bernard Lanz, Cristina Cudalbu

Abstract readReview
PubMed Publisher
In one paragraph

Review 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. 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

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

9 authors.

Gianna Nossa *CIBM Center for Biomedical Imaging, Lausanne, Switzerland. gianna.nossa@epfl.ch.ORCID http://orcid.org/0009-0009-2745-9464
Eloïse Mougel *CIBM Center for Biomedical Imaging, Lausanne, Switzerland. eloise.mougel@epfl.ch.ORCID http://orcid.org/0009-0007-5926-2573
Brayan AlvesCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Tan Toi PhanCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-8073-2898
Alessio SivigliaCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0009-0003-4905-7577
Thi Ngoc Anh DinhCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Thanh Phong LêCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-9615-5642
Bernard LanzCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5136-075X
Cristina CudalbuCIBM Center for Biomedical Imaging, Lausanne, Switzerland.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

MR experiments are essential for studying brain metabolism, yet preclinical MRSI remains underdeveloped, with significant limitations in SNR, acquisition speed, and automated data processing. Although recent advances-such as accelerated sequences, denoising strategies, and ultra-high-field systems-have begun to reduce these barriers; preclinical MRSI still lags far behind the human research field in accessibility and routine use. Based on our expertise, we have created this guide that outlines a complete workflow for acquiring and analyzing high-quality fast-proton and deuterium-based MRSI data in rodent brains at ultra-high fields (9.4 T and 14.1 T), enabling novice users to perform reliable experiments using optimized MRSI sequences (FID-MRSI, SE-MRSI, and PRESS-MRSI) and standardized processing pipelines, while also highlighting strategies to further improve acquisition speed, coverage, and reproducibility. Overall, this paper provides a strong foundation for future methodological advances that will expand metabolic imaging capabilities and deepen insights into brain metabolism and disease.

Indexed as

BrainDeuteriumMagnetic Resonance ImagingAnimalsHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyMiceProtonsRatsReproducibility of ResultsSignal-To-Noise RatioWorkflowDeuteriumProtonsBrain metabolismMagnetic resonance spectroscopic imagingMRSI guideSmall animal imagingUltra-high field

Identifiers

PMID41949813

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.