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Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929379/ https://www.ncbi.nlm.nih.gov/pubmed/36819245 http://dx.doi.org/10.21037/qims-22-683 |
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author | Liu, Ni Huo, Jianwei Li, Yingqiu Hao, Ying Dai, Na Wu, Junchen Liu, Zhidan Zhang, Yanan Huang, Yiran |
author_facet | Liu, Ni Huo, Jianwei Li, Yingqiu Hao, Ying Dai, Na Wu, Junchen Liu, Zhidan Zhang, Yanan Huang, Yiran |
author_sort | Liu, Ni |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9929379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-99293792023-02-16 Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea Liu, Ni Huo, Jianwei Li, Yingqiu Hao, Ying Dai, Na Wu, Junchen Liu, Zhidan Zhang, Yanan Huang, Yiran Quant Imaging Med Surg Original Article 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. AME Publishing Company 2022-12-19 2023-02-01 /pmc/articles/PMC9929379/ /pubmed/36819245 http://dx.doi.org/10.21037/qims-22-683 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Liu, Ni Huo, Jianwei Li, Yingqiu Hao, Ying Dai, Na Wu, Junchen Liu, Zhidan Zhang, Yanan Huang, Yiran Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title | Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title_full | Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title_fullStr | Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title_full_unstemmed | Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title_short | Changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
title_sort | changes in brain structure and related functional connectivity during menstruation in women with primary dysmenorrhea |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929379/ https://www.ncbi.nlm.nih.gov/pubmed/36819245 http://dx.doi.org/10.21037/qims-22-683 |
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