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 in | Psychiatry research. Neuroimaging Vol. 290; pp. 51 - 57 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Netherlands
Elsevier B.V
30.08.2019
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Online Access | Get full text |
ISSN | 0925-4927 1872-7506 1872-7506 |
DOI | 10.1016/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. |
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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 |
Author_xml | – sequence: 1 givenname: Xiongying surname: Chen fullname: Chen, Xiongying organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 2 givenname: Xianbin surname: Li fullname: Li, Xianbin organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 3 givenname: Tongjun surname: Yan fullname: Yan, Tongjun organization: The PLA 102nd Hospital and Mental Health Center of Military. Changzhou 213003, PR China – sequence: 4 givenname: Qianhong surname: Dong fullname: Dong, Qianhong organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 5 givenname: Zhen surname: Mao fullname: Mao, Zhen organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 6 givenname: Yanyan surname: Wang fullname: Wang, Yanyan organization: The PLA 102nd Hospital and Mental Health Center of Military. Changzhou 213003, PR China – sequence: 7 givenname: Ningbo surname: Yang fullname: Yang, Ningbo organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 8 givenname: Qiumei surname: Zhang fullname: Zhang, Qiumei organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China – sequence: 9 givenname: Wan surname: Zhao fullname: Zhao, Wan organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China – sequence: 10 givenname: Jinguo surname: Zhai fullname: Zhai, Jinguo organization: School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China – sequence: 11 givenname: Min surname: Chen fullname: Chen, Min organization: School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China – sequence: 12 givenname: Boqi surname: Du fullname: Du, Boqi organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China – sequence: 13 givenname: Xiaoxiang surname: Deng fullname: Deng, Xiaoxiang organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China – sequence: 14 givenname: Feng surname: Ji fullname: Ji, Feng organization: School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China – sequence: 15 givenname: Yu-Tao orcidid: 0000-0002-2906-0029 surname: Xiang fullname: Xiang, Yu-Tao organization: Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, PR China – sequence: 16 givenname: Jie surname: Song fullname: Song, Jie organization: Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong province, PR China – sequence: 17 givenname: Hongjie surname: Wu fullname: Wu, Hongjie organization: Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong province, PR China – sequence: 18 givenname: Qi surname: Dong fullname: Dong, Qi organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China – sequence: 19 givenname: Chuansheng surname: Chen fullname: Chen, Chuansheng organization: Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, United States – sequence: 20 givenname: Chuanyue surname: Wang fullname: Wang, Chuanyue email: wang_cy@ccmu.edu.cn organization: The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China – sequence: 21 givenname: Jun surname: Li fullname: Li, Jun email: lijundp@bnu.edu.cn organization: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China |
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Keywords | Functional connectivity Schizophrenia Degree centrality Ultrahigh risk Network |
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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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