Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia

•UHR subjects are promising candidate of identifying biomarkers for schizophrenia.•FDC is an unbiased method to examine voxelwise whole-brain functional connectivity.•UHR subjects and schizophrenia patients showed FDC abnormalities.•Abnormalities included increased FDC in the MPFC and reduced FDC in...

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Published inPsychiatry research. Neuroimaging Vol. 290; pp. 51 - 57
Main Authors Chen, Xiongying, Li, Xianbin, Yan, Tongjun, Dong, Qianhong, Mao, Zhen, Wang, Yanyan, Yang, Ningbo, Zhang, Qiumei, Zhao, Wan, Zhai, Jinguo, Chen, Min, Du, Boqi, Deng, Xiaoxiang, Ji, Feng, Xiang, Yu-Tao, Song, Jie, Wu, Hongjie, Dong, Qi, Chen, Chuansheng, Wang, Chuanyue, Li, Jun
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 30.08.2019
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ISSN0925-4927
1872-7506
1872-7506
DOI10.1016/j.pscychresns.2019.06.004

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Abstract •UHR subjects are promising candidate of identifying biomarkers for schizophrenia.•FDC is an unbiased method to examine voxelwise whole-brain functional connectivity.•UHR subjects and schizophrenia patients showed FDC abnormalities.•Abnormalities included increased FDC in the MPFC and reduced FDC in the right FG.•These abnormalities also correlated with their disorganization symptoms. Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.
AbstractList •UHR subjects are promising candidate of identifying biomarkers for schizophrenia.•FDC is an unbiased method to examine voxelwise whole-brain functional connectivity.•UHR subjects and schizophrenia patients showed FDC abnormalities.•Abnormalities included increased FDC in the MPFC and reduced FDC in the right FG.•These abnormalities also correlated with their disorganization symptoms. Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.
Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.
Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.
Author Yan, Tongjun
Zhai, Jinguo
Song, Jie
Chen, Xiongying
Yang, Ningbo
Xiang, Yu-Tao
Dong, Qi
Du, Boqi
Chen, Chuansheng
Dong, Qianhong
Wu, Hongjie
Li, Xianbin
Wang, Chuanyue
Li, Jun
Wang, Yanyan
Ji, Feng
Zhang, Qiumei
Chen, Min
Mao, Zhen
Deng, Xiaoxiang
Zhao, Wan
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Keywords Functional connectivity
Schizophrenia
Degree centrality
Ultrahigh risk
Network
Language English
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Snippet •UHR subjects are promising candidate of identifying biomarkers for schizophrenia.•FDC is an unbiased method to examine voxelwise whole-brain functional...
Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing...
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SubjectTerms Adult
Biomarkers - analysis
Brain - diagnostic imaging
Brain - physiopathology
Brain Mapping
Case-Control Studies
Degree centrality
Female
Functional connectivity
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Nerve Net - diagnostic imaging
Network
Prefrontal Cortex - diagnostic imaging
Prefrontal Cortex - physiopathology
Psychotic Disorders - diagnostic imaging
Psychotic Disorders - etiology
Risk Assessment - methods
Schizophrenia
Schizophrenia - diagnostic imaging
Schizophrenia - etiology
Temporal Lobe - diagnostic imaging
Temporal Lobe - physiopathology
Ultrahigh risk
Title Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia
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https://dx.doi.org/10.1016/j.pscychresns.2019.06.004
https://www.ncbi.nlm.nih.gov/pubmed/31288150
https://www.proquest.com/docview/2255472433
Volume 290
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