Evidence map›Paper›PMID 42080457›Full record

SynthesisNMR in biomedicine2026

Lactate Changes Quantified by fMRS: A Meta-Analysis.

Luca Cairone, Maria Guidi, Matteo Mancini, Federico Giove

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in NMR in biomedicine, 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

4 authors.

Luca CaironeUniversità degli Studi di Roma La Sapienza, Rome, Italy.ORCID https://orcid.org/0000-0003-1190-9247
Maria GuidiCentro Ricerche Enrico Fermi, Rome, Italy.
Matteo ManciniCentro Ricerche Enrico Fermi, Rome, Italy.
Federico GioveCentro Ricerche Enrico Fermi, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 15 years, the number of studies employing functional magnetic resonance spectroscopy (fMRS) has tripled, driven in part by improvements in scanner performance and a growing interest in the investigation of metabolic dynamics associated with the modulation of brain activity. Higher static magnetic fields, enhancements in gradient strength and stability, more sensitive RF coil designs, and refinements in quantification approaches have considerably increased spectral quality and temporal resolution. Together, these developments have further strengthened the unique ability of fMRS to monitor in vivo metabolic changes. Given its role in oxidative metabolism and its relevance in brain energetics, lactate (Lac) is one of the most studied metabolites, following the most important excitatory (glutamate [Glu]) and inhibitory (GABA) neurotransmitters. This meta-analysis aims to obtain an estimate of mean Lac changes in the healthy human brain during a task, by grouping together the papers published to date according to magnetic field strength, spectroscopic sequence echo time, and task design. Across all included studies, an increase in Lac concentration during stimulation is reported by all the papers included in this meta-analysis, with a statistically significant increase between the stimulation and rest periods of 22%. Studies using visual stimuli reported a significantly higher increase of Lac compared to studies employing motor or cognitive tasks. No significant differences emerged between studies at different magnetic field strengths or echo times. This meta-analysis, however, revealed a substantial methodological heterogeneity, highlighting the need for greater standardization in fMRS methodologies.

Indexed as

Lactic AcidBrainHumansMagnetic Resonance SpectroscopyLactic Acidbrain metabolismfMRSfunctional magnetic resonance spectroscopylactate

Identifiers

PMID42080457
PMCPMC13137767

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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.