Evidence map›Paper›PMID 30872689›Full record

ArticleScientific reports2019

Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields.

Tangi Roussel, Lucio Frydman, Denis Le Bihan, Luisa Ciobanu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026
    Review
  2. Article
  3. CEST MRI in the Management/Diagnosis of Neuroinfectious Diseases.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. 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

4 authors at 2 institutions in 2 countries.

Tangi RousselNeuroSpin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Univerisité Paris-Saclay, Gif-sur-Yvette, France.
Lucio FrydmanDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.
Denis Le BihanNeuroSpin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Univerisité Paris-Saclay, Gif-sur-Yvette, France.
Luisa CiobanuNeuroSpin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Univerisité Paris-Saclay, Gif-sur-Yvette, France. luisa.ciobanu@cea.fr.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) indirectly measures brain activity based on neurovascular coupling, a reporter that limits both the spatial and temporal resolution of the technique as well as the cellular and metabolic specificity. Emerging methods using functional spectroscopy (fMRS) and diffusion-weighted fMRI suggest that metabolic and structural modifications are also taking place in the activated cells. This paper explores an alternative metabolic imaging approach based on Chemical Exchange Saturation Transfer (CEST) to assess potential metabolic changes induced by neuronal stimulation in rat brains at 17.2 T. An optimized CEST-fMRI data acquisition and processing protocol was developed and used to experimentally assess the feasibility of glucoCEST-based fMRI. Images acquired under glucose-sensitizing conditions showed a substantial negative contrast that highlighted the same brain regions as those activated with BOLD-fMRI. We ascribe this novel fMRI contrast to CEST's ability to monitor changes in the local concentration of glucose, a metabolite closely coupled to neuronal activity. Our findings are in good agreement with literature employing other modalities. The use of CEST-based techniques for fMRI is not limited to glucose detection; other metabolic pathways involved in neuronal activation could be potentially probed. Moreover, being non invasive, it is conceivable that the same approach can be used for human studies.

Indexed as

AnimalsBrainBrain ChemistryContrast MediaImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleNeuronsRatsRats, Sprague-DawleySugarsContrast MediaSugars

Identifiers

PMID30872689
PMCPMC6418181
OpenAlexW2921198527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.