Evidence map›Paper›PMID 34142212›Full record

ArticleNeuroradiology2021

Structural connectivity changes in the cerebral pain matrix in burning mouth syndrome: a multi-shell, multi-tissue-constrained spherical deconvolution model analysis.

Ryo Kurokawa, Kouhei Kamiya, Shohei Inui, Shimpei Kato, Fumio Suzuki, Shiori Amemiya, Takahiro Shinozaki, Daiki Takanezawa, Ryutarou Kohashi, Osamu Abe

Abstract read
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In one paragraph

Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Burning mouth syndrome: updates on pathogenesis and diagnostic algorithms.Journal of oral & facial pain and headache · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Insights on brain functions in burning mouth syndrome.Frontiers in systems neuroscience · 2022
    Article
  13. Article
  14. Article
  15. Diffusion Tensor Imaging Reveals Altered Centrality of Pain-Related Regions in SCN9A-Associated Small Fiber Neuropathy.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

10 authors at 3 institutions in 1 country.

Ryo KurokawaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. rkurokawa-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-1186-8900
Kouhei KamiyaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shohei InuiDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shimpei KatoDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Fumio SuzukiDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shiori AmemiyaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takahiro ShinozakiDepartment of Oral Diagnostic Sciences, Nihon University School of Dentistry, Tokyo, Japan.
Daiki TakanezawaDepartment of Oral Diagnostic Sciences, Nihon University School of Dentistry, Tokyo, Japan.
Ryutarou KohashiDepartment of Oral and Maxillofacial Radiology, Nihon University School of Dentistry, Tokyo, Japan.
Osamu AbeDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPNihon University · JPToho University · JP

Funding

Japan Society for the Promotion of Science 16K10330
6 · The paper itself

Abstract

purposeBurning mouth syndrome (BMS) is a chronic intraoral pain syndrome. Previous studies have attempted to determine the brain connectivity features in BMS using functional and structural magnetic resonance imaging. However, no study has investigated the structural connectivity using multi-shell, multi-tissue-constrained spherical deconvolution (MSMT-CSD), anatomically constrained tractography (ACT), and spherical deconvolution informed filtering of tractograms (SIFT). Therefore, this study aimed to assess the differences in brain structural connectivity of patients with BMS and healthy controls using probabilistic tractography with these methods, and graph analysis.

methodsFourteen patients with BMS and 11 age- and sex-matched healthy volunteers underwent 3-T magnetic resonance imaging. MSMT-CSD-based probabilistic structural connectivity was computed using the second-order integration over fiber orientation distributions algorithm based on nodes set in 84 anatomical cortical regions with ACT and SIFT. A t-test was performed for comparisons between the BMS and healthy control brain networks.

resultsThe betweenness centrality was significantly higher in the left insula, right amygdala, and right lateral orbitofrontal cortex and significantly lower in the right inferotemporal cortex in the BMS group than that in healthy controls. However, no significant difference was found in the clustering coefficient, node degree, and small-worldness between the two groups.

conclusionGraph analysis of brain probabilistic structural connectivity, based on diffusion imaging using an MSMT-CSD model with ACT and SIFT, revealed alterations in the regions comprising the pain matrix and medial pain ascending pathway. These results highlight the emotional-affective profile of BMS, which is a type of chronic pain syndrome.

Indexed as

Burning Mouth SyndromeAlgorithmsBrainHumansMagnetic Resonance ImagingPainBurning mouth syndromeDiffusion imagingGraph analysisPainStructural connectivity

Identifiers

PMID34142212
OpenAlexW3166465403

What OpenQuestion holds

Textmetadata
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.