Evidence map›Paper›PMID 35736476›Full record

ArticleMetabolites2022

The Distribution of Major Brain Metabolites in Normal Adults: Short Echo Time Whole-Brain MR Spectroscopic Imaging Findings.

Xinnan Li, Kagari Abiko, Sulaiman Sheriff, Andrew A Maudsley, Yuta Urushibata, Sinyeob Ahn, Khin Khin Tha

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Xinnan LiLaboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo 060-8638, Japan.
Kagari AbikoDepartment of Rehabilitation, Hokkaido University Hospital, Sapporo 060-8648, Japan.
Sulaiman SheriffDepartment of Radiology, University of Miami School of Medicine, Miami, FL 33146, USA.
Andrew A MaudsleyDepartment of Radiology, University of Miami School of Medicine, Miami, FL 33146, USA.ORCID 0000-0001-7653-3063
Yuta UrushibataSiemens Healthcare K.K., Tokyo 141-8644, Japan.
Sinyeob AhnSiemens Healthineers, San Francisco, CA 94553, USA.
Khin Khin ThaLaboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo 060-8638, Japan.ORCID 0000-0002-9072-4509
Hokkaido University · JPUniversity of Miami · USSapporo Azabu Neurosurgical Hospital · JPSiemens Healthcare (United States) · US

Funding

Development and Maintenance of Software for MR Spectroscopic ImagingR01EB016064 · NIBIB · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MAUDSLEY, ANDREW A. · 2013 to 2021
$2.0M
and the Global Institution for Collaborative Research and Education, Hokkaido UniversityGrant-in-Aid for scientific research by the Japan Society for Promotion of Science KAKENHI-15K01358Grant-in-Aid for scientific research by the Japan Society for Promotion of Science KAKENHI-24591741NIBIB NIH HHS R01 EB016064NIH HHS R01EB016064
6 · The paper itself

Abstract

This prospective study aimed to evaluate the variation in magnetic resonance spectroscopic imaging (MRSI)-observed brain metabolite concentrations according to anatomical location, sex, and age, and the relationships among regional metabolite distributions, using short echo time (TE) whole-brain MRSI (WB-MRSI). Thirty-eight healthy participants underwent short TE WB-MRSI. The major metabolite ratios, i.e., N-acetyl aspartate (NAA)/creatine (Cr), choline (Cho)/Cr, glutamate + glutamine (Glx)/Cr, and myoinositol (mI)/Cr, were calculated voxel-by-voxel. Their variations according to anatomical regions, sex, and age, and their relationship to each other were evaluated by using repeated-measures analysis of variance, t-tests, and Pearson’s product-moment correlation analyses. All four metabolite ratios exhibited widespread regional variation across the cerebral hemispheres (corrected p < 0.05). Laterality between the two sides and sex-related variation were also shown (p < 0.05). In several regions, NAA/Cr and Glx/Cr decreased and mI/Cr increased with age (corrected p < 0.05). There was a moderate positive correlation between NAA/Cr and mI/Cr in the insular lobe and thalamus and between Glx/Cr and mI/Cr in the parietal lobe (r ≥ 0.348, corrected p ≤ 0.025). These observations demand age- and sex- specific regional reference values in interpreting these metabolites, and they may facilitate the understanding of glial-neuronal interactions in maintaining homeostasis.

Indexed as

echo-planarmagnetic resonance spectroscopic imagingmetabolitewhole-brain

Identifiers

PMID35736476
PMCPMC9228869
OpenAlexW4282915835

What OpenQuestion holds

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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.