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Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia
Clinical and brain structural differences have been reported between patients with familial and sporadic schizophrenia; however, little is known about the brain functional differences between the two subtypes of schizophrenia. Twenty-six patients with familial schizophrenia (PFS), 26 patients with s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817042/ https://www.ncbi.nlm.nih.gov/pubmed/27032817 http://dx.doi.org/10.1038/srep23577 |
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author | Zhu, Jiajia Zhuo, Chuanjun Liu, Feng Qin, Wen Xu, Lixue Yu, Chunshui |
author_facet | Zhu, Jiajia Zhuo, Chuanjun Liu, Feng Qin, Wen Xu, Lixue Yu, Chunshui |
author_sort | Zhu, Jiajia |
collection | PubMed |
description | Clinical and brain structural differences have been reported between patients with familial and sporadic schizophrenia; however, little is known about the brain functional differences between the two subtypes of schizophrenia. Twenty-six patients with familial schizophrenia (PFS), 26 patients with sporadic schizophrenia (PSS) and 26 healthy controls (HC) underwent a resting-state functional magnetic resonance imaging. The whole-brain functional network was constructed and analyzed using graph theoretical approaches. Topological properties (including global, nodal and edge measures) were compared among the three groups. We found that PFS, PSS and HC exhibited common small-world architecture of the functional brain networks. However, at a global level, only PFS showed significantly lower normalized clustering coefficient, small-worldness, and local efficiency, indicating a randomization shift of their brain networks. At a regional level, PFS and PSS disrupted different neural circuits, consisting of abnormal nodes (increased or decreased nodal centrality) and edges (decreased functional connectivity strength), which were widely distributed throughout the entire brain. Furthermore, some of these altered network measures were significantly correlated with severity of psychotic symptoms. These results suggest that familial and sporadic schizophrenia had segregated disruptions in the topological organization of the intrinsic functional brain network, which may be due to different etiological contributions. |
format | Online Article Text |
id | pubmed-4817042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48170422016-04-05 Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia Zhu, Jiajia Zhuo, Chuanjun Liu, Feng Qin, Wen Xu, Lixue Yu, Chunshui Sci Rep Article Clinical and brain structural differences have been reported between patients with familial and sporadic schizophrenia; however, little is known about the brain functional differences between the two subtypes of schizophrenia. Twenty-six patients with familial schizophrenia (PFS), 26 patients with sporadic schizophrenia (PSS) and 26 healthy controls (HC) underwent a resting-state functional magnetic resonance imaging. The whole-brain functional network was constructed and analyzed using graph theoretical approaches. Topological properties (including global, nodal and edge measures) were compared among the three groups. We found that PFS, PSS and HC exhibited common small-world architecture of the functional brain networks. However, at a global level, only PFS showed significantly lower normalized clustering coefficient, small-worldness, and local efficiency, indicating a randomization shift of their brain networks. At a regional level, PFS and PSS disrupted different neural circuits, consisting of abnormal nodes (increased or decreased nodal centrality) and edges (decreased functional connectivity strength), which were widely distributed throughout the entire brain. Furthermore, some of these altered network measures were significantly correlated with severity of psychotic symptoms. These results suggest that familial and sporadic schizophrenia had segregated disruptions in the topological organization of the intrinsic functional brain network, which may be due to different etiological contributions. Nature Publishing Group 2016-04-01 /pmc/articles/PMC4817042/ /pubmed/27032817 http://dx.doi.org/10.1038/srep23577 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhu, Jiajia Zhuo, Chuanjun Liu, Feng Qin, Wen Xu, Lixue Yu, Chunshui Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title | Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title_full | Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title_fullStr | Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title_full_unstemmed | Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title_short | Distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
title_sort | distinct disruptions of resting-state functional brain networks in familial and sporadic schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817042/ https://www.ncbi.nlm.nih.gov/pubmed/27032817 http://dx.doi.org/10.1038/srep23577 |
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