Evidence map›Paper›PMID 38647048›Full record

ArticleHuman brain mapping2024

Whole-brain deuterium metabolic imaging via concentric ring trajectory readout enables assessment of regional variations in neuronal glucose metabolism.

Fabian Niess, Bernhard Strasser, Lukas Hingerl, Viola Bader, Sabina Frese, William T Clarke, Anna Duguid, Eva Niess, Stanislav Motyka, Martin Krššák and 4 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  2. Assessment of TMagma (New York, N.Y.) · 2026
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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

14 authors at 3 institutions in 2 countries.

Fabian NiessHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-1235-7595
Bernhard StrasserHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Lukas HingerlHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Viola BaderHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Sabina FreseHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
William T ClarkeWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Anna DuguidHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Eva NiessHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Stanislav MotykaHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Martin KrššákDepartment of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria.
Siegfried TrattnigHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Thomas SchererDepartment of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria.
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-4641-9539
Wolfgang BognerHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATKarl Landsteiner Society · ATUniversity of Oxford · GB

Funding

Novel 10.5 T deuterium-based MRS/I method to measure brain metabolismR01EB031787 · NIBIB · UNIVERSITY OF MINNESOTA · PI Wolfgang Bogner, Malgorzata Marjanska · 2022 to 2026
$2.2M
NIBIB NIH HHS R01 EB031787NIH HHS R01EB031787Wellcome TrustWellcome Trust 225924/Z/22/Z
6 · The paper itself

Abstract

Deuterium metabolic imaging (DMI) is an emerging magnetic resonance technique, for non-invasive mapping of human brain glucose metabolism following oral or intravenous administration of deuterium-labeled glucose. Regional differences in glucose metabolism can be observed in various brain pathologies, such as Alzheimer's disease, cancer, epilepsy or schizophrenia, but the achievable spatial resolution of conventional phase-encoded DMI methods is limited due to prolonged acquisition times rendering submilliliter isotropic spatial resolution for dynamic whole brain DMI not feasible. The purpose of this study was to implement non-Cartesian spatial-spectral sampling schemes for whole-brain

Indexed as

BrainDeuteriumGlucoseAdultFemaleGray MatterHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleWhite MatterYoung AdultDeuteriumGlucose3D magnetic resonance spectroscopic imagingdeuterium‐labeled glucosedeuterium metabolic imagingdownstream neurotransmitter synthesiswhole‐brain metabolic mapping

Identifiers

PMID38647048
PMCPMC11034002
OpenAlexW4395010576

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.