Evidence map›Paper›PMID 36819245›Full record

ArticleQuantitative imaging in medicine and surgery2023

Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea.

Ni Liu, Jianwei Huo, Yingqiu Li, Ying Hao, Na Dai, Junchen Wu, Zhidan Liu, Yanan Zhang, Yiran Huang

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Reward system neurodynamics during menstrual pain modulated byFrontiers in molecular neuroscience · 2024
    Article
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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

9 authors at 4 institutions in 1 country.

Ni Liu *Department of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Jianwei Huo *Department of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Yingqiu LiSchool of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.
Ying HaoBeijing International Center for Mathematical Research, Peking University, Beijing, China.
Na DaiDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Junchen WuDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Zhidan LiuSchool of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.
Yanan Zhang *Department of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Yiran Huang *School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.
Beijing Hospital of Traditional Chinese Medicine · CNBeijing University of Chinese Medicine · CNCapital Medical University · CNPeking University International Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroimaging studies have identified altered brain structures and functions in women with primary dysmenorrhea (PDM). However, previous studies focused on either structural or functional changes in specific brain regions rather than combining structural and functional analysis. Therefore, this prospective cross-sectional study aimed to investigate the changes in whole brain structure, and functional variation along with structural abnormalities in women with PDM during menstruation. Methods: In all, 31 patients with PDM (PTs) and 31 healthy controls (HCs) were recruited. Voxel-based morphometry (VBM) and surface-based morphometry (SBM) analyses were applied to investigate structural changes based on high-resolution T1-weighted magnetic resonance images. Functional connectivity (FC) analysis was performed to evaluate functional variations related to the brain regions that showed structural group differences. Pearson correlation analysis was performed to assess the relationship between neuroimaging changes and clinical measures. Results: Compared to HCs, PTs had reduced gray matter volume (GMV) in the right superior temporal gyrus (STG) and reduced thickness in the bilateral orbitofrontal cortex (OFC), left postcentral gyrus (PoCG), and left superior occipital gyrus (SOG). Among these areas, the STG and PoCG are responsible for altered resting-state FC patterns in PTs. Results showed decreased FC between the STG and the left cerebellar posterior lobe (poCb), the right dorsolateral prefrontal cortex (DLPFC), and the left precentral gyrus (PrCG). Results also showed decreased FC between the PoCG and the right precuneus and the right DLPFC. We also found greater FCs between the PoCG and the bilateral poCb, the left middle temporal gyrus (MTG), and the left angular gyrus. In addition, the FCs between the STG and poCb, and DLPFC in PTs were positively correlated with history and Cox menstrual symptom scale (CMSS) scores, respectively, while the FCs between STG and PrCG were negatively correlated with the onset age of PDM. Conclusions: Our research found structural abnormalities and related FC changes in several brain regions that were mainly involved in the emotional and sensory aspects of menstrual pain in PDM. These findings could help us understand the occurrence of PDM from a neuroimaging perspective.

Indexed as

functional connectivity (FC)Primary dysmenorrhea (PDM)resting-state functional magnetic resonance imaging (rs-fMRI)surface-based morphometry (SBM)voxel-based morphometry (VBM)

Identifiers

PMID36819245
PMCPMC9929379
OpenAlexW4312774067

What OpenQuestion holds

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Registered trials

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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.