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Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia
Chen Xiongying1; Li Xianbin1; Yan Tongjun2; Dong Qianhong1; Mao Zhen1; Wang Yanyan2; Yang Ningbo1,3; Zhang Qiumei4,5; Zhao Wan4; Zhai Jinguo5; Chen Min5; Du Boqi4; Deng Xiaoxiang4; Ji Feng5; Xiang Yu-Tao6; Song Jie7; Wu Hongjie7; Dong Qi4; Chen Chuansheng8; Wang Chuanyue1; Li Jun4
2019-08
Source PublicationPSYCHIATRY RESEARCH-NEUROIMAGING
ISSN0925-4927
Volume290Pages:51-57
AbstractSchizophrenia 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.
KeywordSchizophrenia Ultrahigh Risk Degree Centrality Functional Connectivity Network
DOI10.1016/j.pscychresns.2019.06.004
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Neuroimaging ; Psychiatry
WOS IDWOS:000475922200008
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
Affiliation1.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, Chin
2.The PLA 102nd Hospital and Mental Health Center of Military. Changzhou 213003, PR China
3.First Affiliated Hospital of Henan University of Science and Technology, No.24 Jinghua Road, Jianxi District, Luoyang 471003, China
4.State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China
5.School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
6.Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, PR China
7.Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong province, PR China
8.Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, United States
Recommended Citation
GB/T 7714
Chen Xiongying,Li Xianbin,Yan Tongjun,et al. Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia[J]. PSYCHIATRY RESEARCH-NEUROIMAGING,2019,290:51-57.
APA Chen Xiongying.,Li Xianbin.,Yan Tongjun.,Dong Qianhong.,Mao Zhen.,...&Li Jun.(2019).Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia.PSYCHIATRY RESEARCH-NEUROIMAGING,290,51-57.
MLA Chen Xiongying,et al."Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia".PSYCHIATRY RESEARCH-NEUROIMAGING 290(2019):51-57.
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