Abnormal topological organization of structural brain networks in schizophrenia

Zhang, Yuanchao, Lin, Lei, Lin, Ching-Po, Zhou, Yuan, Chou, Kun-Hsien, Lo, Chun-Yi, Su, Tung-Ping and Jiang, Tianzi (2012) Abnormal topological organization of structural brain networks in schizophrenia. Schizophrenia Research, 141 2-3: 109-118.


Author Zhang, Yuanchao
Lin, Lei
Lin, Ching-Po
Zhou, Yuan
Chou, Kun-Hsien
Lo, Chun-Yi
Su, Tung-Ping
Jiang, Tianzi
Title Abnormal topological organization of structural brain networks in schizophrenia
Journal name Schizophrenia Research   Check publisher's open access policy
ISSN 0920-9964
1573-2509
Publication date 2012-11
Sub-type Article (original research)
DOI 10.1016/j.schres.2012.08.021
Volume 141
Issue 2-3
Start page 109
End page 118
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2013
Language eng
Abstract Schizophrenia is a debilitating mental disorder characterized by disturbances of thought and emotion as well as neurocognitive deficits. It is hypothesized that the core symptoms of schizophrenia arise from the inability to integrate neural processes segregated across distributed brain regions. Graph theory allows us to verify this hypothesis at large-scale structural network level. In this study, a sample of 101 schizophrenic patients and 101 healthy controls was included. We sought to investigate the abnormality of network topological organization in patients with schizophrenia by using the cortical thickness measurement from magnetic resonance imaging. Brain networks were constructed by thresholding cortical thickness correlation matrices of 78 regions and analyzed using graph theoretical approaches. Compared to healthy controls, patients showed increased characteristic path length and clustering coefficient in the structural cortical networks. Moreover, schizophrenia patients were associated with reduced nodal centrality in several regions of the default network and increased nodal centrality mainly in primary cortex and paralimbic cortex regions. These findings suggest that the structural networks of schizophrenic patients have a less optimal topological organization, resulting in reduced capacity to integrate information across brain regions.
Keyword Schizophrenia
Structural network
Cortical thickness
Topological organization
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2013 Collection
Centre for Advanced Imaging Publications
 
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