Literature DB >> 24491950

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

Wenbin Guo1, Qinji Su2, Dapeng Yao2, Jiajing Jiang2, Jian Zhang2, Zhikun Zhang2, Liuyu Yu2, Jinguo Zhai3, Changqing Xiao2.   

Abstract

Dysconnectivity hypothesis posits that abnormal resting-state connectivity within the default-mode network (DMN) acts as a key role in schizophrenia. However, little is known about the regional alterations of the DMN in unaffected siblings of schizophrenia patients. Unaffected siblings have a unique advantage in neuroimaging studies independent of clinical and treatment issues that complicate studies on patients themselves. In the present study, we used fractional amplitude of low-frequency fluctuation (fALFF) to investigate regional alterations of the DMN in unaffected siblings of schizophrenia patients at rest. Forty-six unaffected siblings of schizophrenia patients and 50 age-, sex-, and education-matched healthy controls underwent a resting-state functional magnetic resonance imaging (fMRI). The fALFF and independent component analysis (ICA) approaches were used to analyze the data. The unaffected siblings of schizophrenia patients had lower fALFF than the controls in the left inferior temporal gyrus (ITG). No significantly increased fALFF was found in any brain regions in the siblings compared to that in the controls. Further receiver operating characteristic (ROC) curve and support vector machine (SVM) analyses showed that the fALFF values of the left ITG could be utilized to separate the siblings from the controls. Our results first suggest that there is decreased regional activity of the DMN in unaffected siblings of schizophrenia patients, and provide a clue that decreased regional activity of the left ITG could be applied as a candidate biomarker to identify the siblings from the controls.
Copyright © 2014 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Default mode network; Fractional amplitude of low-frequency fluctuation; Independent component analysis; Schizophrenia; Siblings

Mesh:

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Year:  2014        PMID: 24491950     DOI: 10.1016/j.euroneuro.2014.01.004

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  16 in total

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