Evidence map›Paper›PMID 42730610›Full record

ReviewThe neuroradiology journal2026

A systematic approach to MR spectroscopy of the brain: Indications, protocol, metabolites, and spectral analysis in neurologic diseases.

Shadman M Rahman, Allison Peng, Kristen Si, Carys L Kenny-Howell, Mantej Singh, Muhammad Ahsan Asif, Saumik Z Rahman, Saeed Rahmani, Luca Pasquini, Mehmet Adin and 2 more

Abstract readReview
In one paragraph

Review in The neuroradiology journal, 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

12 authors.

Shadman M RahmanTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.ORCID 0009-0000-8154-9414
Allison PengTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.
Kristen SiTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.
Carys L Kenny-HowellTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.ORCID 0009-0002-9238-5835
Mantej SinghTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.
Muhammad Ahsan AsifTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.
Saumik Z RahmanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Saeed RahmaniTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.
Luca PasquiniDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Mehmet AdinDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Elizabeth SchrickelDepartment of Radiology, The Ohio State University College of Medicine, Columbus, OH, USA.
Long H TuTu Lab for Diagnostic Research, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-2419-5581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance spectroscopy (MRS) is a noninvasive imaging technique that complements conventional magnetic resonance imaging by providing in vivo metabolic and biochemical characterization of brain tissue. By quantifying metabolites such as N-acetylaspartate, choline, creatine, lactate, and myo-inositol (myo-Ins), MRS offers insight into neuronal integrity, membrane turnover, energy metabolism, inflammation, and necrosis, features that help distinguish between pathologies with greater specificity than anatomic imaging alone.This review presents a clinically focused, systematic approach to brain MRS, addressing indications, acquisition strategies, spectral interpretation, and characteristic metabolic patterns across a broad spectrum of neuropathologies. Key technical factors influencing spectral quality and reproducibility, such as voxel selection, field strength, echo time, and sequence choice, are highlighted. Metabolic signatures of neoplastic, infectious, inflammatory, demyelinating, metabolic, and neurodegenerative disorders are reviewed with an emphasis on practical differentiation in the setting of overlapping imaging appearances. Recognizing the limited specificity of isolated metabolite abnormalities, this review emphasizes integration of MRS findings with clinical context and conventional MRI. A structured interpretive framework is proposed to promote consistent analysis and enhance diagnostic confidence, reinforcing the role of MRS as a valuable adjunct in contemporary neuroradiologic practice.

Indexed as

brain metabolitesmagnetic resonance spectroscopyneuroimagingsystematic approach

Identifiers

PMID42730610
PMCPMC13570963

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.