The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence

Background: Schizophrenia is associated with a significant increase in the risk of violence, which constitutes a public health concern and contributes to stigma associated with mental illness. Although previous studies revealed structural and functional abnormalities in individuals with violent schi...

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Autores principales: Danlin Shen, Qing Li, Jianmei Liu, Yi Liao, Yuanyuan Li, Qiyong Gong, Xiaoqi Huang, Tao Li, Jing Li, Changjian Qiu, Junmei Hu
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:998b887cfc5a498ca29ecbaac901a1c92021-11-15T05:57:51ZThe Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence1664-064010.3389/fpsyt.2021.777447https://doaj.org/article/998b887cfc5a498ca29ecbaac901a1c92021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.777447/fullhttps://doaj.org/toc/1664-0640Background: Schizophrenia is associated with a significant increase in the risk of violence, which constitutes a public health concern and contributes to stigma associated with mental illness. Although previous studies revealed structural and functional abnormalities in individuals with violent schizophrenia (VSZ), the neural basis of psychotic violence remains controversial.Methods: In this study, high-resolution structural magnetic resonance imaging (MRI) data were acquired from 18 individuals with VSZ, 23 individuals with non-VSZ (NSZ), and 22 age- and sex-matched healthy controls (HCs). Whole-brain voxel-based morphology and individual morphological covariance networks were analysed to reveal differences in gray matter volume (GMV) and individual morphological covariance network topology. Relationships among abnormal GMV, network topology, and clinical assessments were examined using correlation analyses.Results: GMV in the hypothalamus gradually decreased from HCs and NSZ to VSZ and showed significant differences between all pairs of groups. Graph theory analyses revealed that morphological covariance networks of HCs, NSZ, and VSZ exhibited small worldness. Significant differences in network topology measures, including global efficiency, shortest path length, and nodal degree, were found. Furthermore, changes in GMV and network topology were closely related to clinical performance in the NSZ and VSZ groups.Conclusions: These findings revealed the important role of local structural abnormalities of the hypothalamus and global network topological impairments in the neuropathology of NSZ and VSZ, providing new insight into the neural basis of and markers for VSZ and NSZ to facilitate future accurate clinical diagnosis and targeted treatment.Danlin ShenQing LiJianmei LiuYi LiaoYuanyuan LiQiyong GongXiaoqi HuangTao LiTao LiJing LiChangjian QiuJunmei HuFrontiers Media S.A.articleindividual morphological covariance networkgraph theoryschizophreniaviolentgray matter volumePsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic individual morphological covariance network
graph theory
schizophrenia
violent
gray matter volume
Psychiatry
RC435-571
spellingShingle individual morphological covariance network
graph theory
schizophrenia
violent
gray matter volume
Psychiatry
RC435-571
Danlin Shen
Qing Li
Jianmei Liu
Yi Liao
Yuanyuan Li
Qiyong Gong
Xiaoqi Huang
Tao Li
Tao Li
Jing Li
Changjian Qiu
Junmei Hu
The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
description Background: Schizophrenia is associated with a significant increase in the risk of violence, which constitutes a public health concern and contributes to stigma associated with mental illness. Although previous studies revealed structural and functional abnormalities in individuals with violent schizophrenia (VSZ), the neural basis of psychotic violence remains controversial.Methods: In this study, high-resolution structural magnetic resonance imaging (MRI) data were acquired from 18 individuals with VSZ, 23 individuals with non-VSZ (NSZ), and 22 age- and sex-matched healthy controls (HCs). Whole-brain voxel-based morphology and individual morphological covariance networks were analysed to reveal differences in gray matter volume (GMV) and individual morphological covariance network topology. Relationships among abnormal GMV, network topology, and clinical assessments were examined using correlation analyses.Results: GMV in the hypothalamus gradually decreased from HCs and NSZ to VSZ and showed significant differences between all pairs of groups. Graph theory analyses revealed that morphological covariance networks of HCs, NSZ, and VSZ exhibited small worldness. Significant differences in network topology measures, including global efficiency, shortest path length, and nodal degree, were found. Furthermore, changes in GMV and network topology were closely related to clinical performance in the NSZ and VSZ groups.Conclusions: These findings revealed the important role of local structural abnormalities of the hypothalamus and global network topological impairments in the neuropathology of NSZ and VSZ, providing new insight into the neural basis of and markers for VSZ and NSZ to facilitate future accurate clinical diagnosis and targeted treatment.
format article
author Danlin Shen
Qing Li
Jianmei Liu
Yi Liao
Yuanyuan Li
Qiyong Gong
Xiaoqi Huang
Tao Li
Tao Li
Jing Li
Changjian Qiu
Junmei Hu
author_facet Danlin Shen
Qing Li
Jianmei Liu
Yi Liao
Yuanyuan Li
Qiyong Gong
Xiaoqi Huang
Tao Li
Tao Li
Jing Li
Changjian Qiu
Junmei Hu
author_sort Danlin Shen
title The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
title_short The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
title_full The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
title_fullStr The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
title_full_unstemmed The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence
title_sort deficits of individual morphological covariance network architecture in schizophrenia patients with and without violence
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/998b887cfc5a498ca29ecbaac901a1c9
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