Literature DB >> 25242670

Decreased default-mode network homogeneity in unaffected siblings of schizophrenia patients at rest.

Wenbin Guo1, Feng Liu2, Dapeng Yao3, Jiajing Jiang3, Qinji Su3, Zhikun Zhang3, Jian Zhang3, Liuyu Yu3, Jinguo Zhai4, Changqing Xiao3.   

Abstract

The dysconnectivity hypothesis proposes that abnormal resting state connectivity within the default-mode network (DMN) plays a key role in schizophrenia. Little is known, however, about alterations of the network homogeneity (NH) of the DMN in unaffected siblings of patients with schizophrenia. Unaffected siblings have unique advantages as subjects of neuroimaging studies independent of the clinical and treatment issues that complicate studies of the patients themselves. In the present study, we investigated NH of the DMN in unaffected siblings of schizophrenia. Participants comprised 46 unaffected siblings of schizophrenia patients and 50 age-, sex-, and education-matched healthy controls who underwent resting state functional magnetic resonance imaging (fMRI). Automated NH and group independent component analysis (ICA) approaches were used to analyze the data. Compared with healthy controls, the unaffected siblings of schizophrenia patients showed decreased DMN homogeneity in the left precuneus. No significantly increased DMN homogeneity was found in the sibling group relative to the control group. Our results suggest that there is decreased NH of the DMN in unaffected siblings of schizophrenia patients and indicate that the alternative perspective of examining the DMN NH in patients׳ siblings may improve understanding of the nature of schizophrenia.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Default mode network; Independent component analysis; Network homogeneity; Schizophrenia; Unaffected siblings

Mesh:

Year:  2014        PMID: 25242670     DOI: 10.1016/j.pscychresns.2014.08.014

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  7 in total

1.  Increased Cerebellar Functional Connectivity With the Default-Mode Network in Unaffected Siblings of Schizophrenia Patients at Rest.

Authors:  Wenbin Guo; Feng Liu; Zhikun Zhang; Guiying Liu; Jianrong Liu; Liuyu Yu; Changqing Xiao; Jingping Zhao
Journal:  Schizophr Bull       Date:  2015-05-07       Impact factor: 9.306

2.  The Bilateral Precuneus as a Potential Neuroimaging Biomarker for Right Temporal Lobe Epilepsy: A Support Vector Machine Analysis.

Authors:  Chunyan Huang; Yang Zhou; Yi Zhong; Xi Wang; Yunhua Zhang
Journal:  Front Psychiatry       Date:  2022-06-15       Impact factor: 5.435

3.  Hyperactivity of the default-mode network in first-episode, drug-naive schizophrenia at rest revealed by family-based case-control and traditional case-control designs.

Authors:  Wenbin Guo; Feng Liu; Jindong Chen; Renrong Wu; Lehua Li; Zhikun Zhang; Huafu Chen; Jingping Zhao
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

4.  Abnormal default-mode network homogeneity in patients with temporal lobe epilepsy.

Authors:  Yujun Gao; Jinou Zheng; Yaping Li; Danni Guo; Mingli Wang; Xiangxiang Cui; Wei Ye
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

5.  Abnormal network homogeneity of default-mode network and its relationships with clinical symptoms in antipsychotic-naïve first-diagnosis schizophrenia.

Authors:  Mingjun Kong; Tian Chen; Shuzhan Gao; Sulin Ni; Yidan Ming; Xintong Chai; Chenxi Ling; Xijia Xu
Journal:  Front Neurosci       Date:  2022-07-25       Impact factor: 5.152

6.  Semi-metric analysis of the functional brain network: Relationship with familial risk for psychotic disorder.

Authors:  Sanne Peeters; Tiago Simas; John Suckling; Ed Gronenschild; Ameera Patel; Petra Habets; Jim van Os; Machteld Marcelis
Journal:  Neuroimage Clin       Date:  2015-10-09       Impact factor: 4.881

7.  Metacognitive Training Modulates Default-Mode Network Homogeneity During 8-Week Olanzapine Treatment in Patients With Schizophrenia.

Authors:  Xiaoxiao Shan; Rongyuan Liao; Yangpan Ou; Yudan Ding; Feng Liu; Jindong Chen; Jingping Zhao; Wenbin Guo; Yiqun He
Journal:  Front Psychiatry       Date:  2020-03-27       Impact factor: 4.157

  7 in total

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