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Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis
BACKGROUND: In schizophrenia, the structural changes in the cerebellum are associated with patients’ cognition and motor deficits. However, the findings are inconsistent owing to the heterogeneity in sample size, magnetic resonance imaging (MRI) scanners, and other factors among them. In this study,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814486/ https://www.ncbi.nlm.nih.gov/pubmed/36620665 http://dx.doi.org/10.3389/fpsyt.2022.1083480 |
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author | Li, Xing Liu, Naici Yang, Chengmin Zhang, Wenjing Lui, Su |
author_facet | Li, Xing Liu, Naici Yang, Chengmin Zhang, Wenjing Lui, Su |
author_sort | Li, Xing |
collection | PubMed |
description | BACKGROUND: In schizophrenia, the structural changes in the cerebellum are associated with patients’ cognition and motor deficits. However, the findings are inconsistent owing to the heterogeneity in sample size, magnetic resonance imaging (MRI) scanners, and other factors among them. In this study, we conducted a meta-analysis to characterize the anatomical changes in cerebellar subfields in patients with schizophrenia. METHODS: Systematic research was conducted to identify studies that compare the gray matter volume (GMV) differences in the cerebellum between patients with schizophrenia and healthy controls with a voxel-based morphometry (VBM) method. A coordinate-based meta-analysis was adopted based on seed-based d mapping (SDM) software. An exploratory meta-regression analysis was conducted to associate clinical and demographic features with cerebellar changes. RESULTS: Of note, 25 studies comprising 996 patients with schizophrenia and 1,109 healthy controls were included in the present meta-analysis. In patients with schizophrenia, decreased GMVs were demonstrated in the left Crus II, right lobule VI, and right lobule VIII, while no increased GMV was identified. In the meta-regression analysis, the mean age and illness duration were negatively associated with the GMV in the left Crus II in patients with schizophrenia. CONCLUSION: The most significant structural changes in the cerebellum are mainly located in the posterior cerebellar hemisphere in patients with schizophrenia. The decreased GMVs of these regions might partly explain the cognitive deficits and motor symptoms in patients with schizophrenia. |
format | Online Article Text |
id | pubmed-9814486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98144862023-01-06 Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis Li, Xing Liu, Naici Yang, Chengmin Zhang, Wenjing Lui, Su Front Psychiatry Psychiatry BACKGROUND: In schizophrenia, the structural changes in the cerebellum are associated with patients’ cognition and motor deficits. However, the findings are inconsistent owing to the heterogeneity in sample size, magnetic resonance imaging (MRI) scanners, and other factors among them. In this study, we conducted a meta-analysis to characterize the anatomical changes in cerebellar subfields in patients with schizophrenia. METHODS: Systematic research was conducted to identify studies that compare the gray matter volume (GMV) differences in the cerebellum between patients with schizophrenia and healthy controls with a voxel-based morphometry (VBM) method. A coordinate-based meta-analysis was adopted based on seed-based d mapping (SDM) software. An exploratory meta-regression analysis was conducted to associate clinical and demographic features with cerebellar changes. RESULTS: Of note, 25 studies comprising 996 patients with schizophrenia and 1,109 healthy controls were included in the present meta-analysis. In patients with schizophrenia, decreased GMVs were demonstrated in the left Crus II, right lobule VI, and right lobule VIII, while no increased GMV was identified. In the meta-regression analysis, the mean age and illness duration were negatively associated with the GMV in the left Crus II in patients with schizophrenia. CONCLUSION: The most significant structural changes in the cerebellum are mainly located in the posterior cerebellar hemisphere in patients with schizophrenia. The decreased GMVs of these regions might partly explain the cognitive deficits and motor symptoms in patients with schizophrenia. Frontiers Media S.A. 2022-12-22 /pmc/articles/PMC9814486/ /pubmed/36620665 http://dx.doi.org/10.3389/fpsyt.2022.1083480 Text en Copyright © 2022 Li, Liu, Yang, Zhang and Lui. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Li, Xing Liu, Naici Yang, Chengmin Zhang, Wenjing Lui, Su Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title | Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title_full | Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title_fullStr | Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title_full_unstemmed | Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title_short | Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis |
title_sort | cerebellar gray matter volume changes in patients with schizophrenia: a voxel-based meta-analysis |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814486/ https://www.ncbi.nlm.nih.gov/pubmed/36620665 http://dx.doi.org/10.3389/fpsyt.2022.1083480 |
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