期刊
EUROPEAN NEUROPSYCHOPHARMACOLOGY
卷 24, 期 4, 页码 545-552出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.euroneuro.2014.01.004
关键词
Siblings; Schizophrenia; Fractional amplitude of low-frequency fluctuation; Independent component analysis; Default mode network
资金
- National Natural Science Foundations of China [81260210, 30900483]
- Natural Science Foundations of Guangxi [2013GXNSF AA019107]
- Natural Science Foundation of Shandong Province [ZR2012HM065]
- Ministry of Health of the Peoples' Republic of China [201002003]
Dysconnectivity hypothesis posits that abnormal resting-state connectivity within the defaultmode 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. (C) 2014 Elsevier B.V. and ECNP All rights reserved.
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