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

被引:8
|
作者
Chen Xiongying [1 ,2 ]
Li Xianbin [1 ,2 ]
Yan Tongjun [3 ,4 ]
Dong Qianhong [1 ,2 ]
Mao Zhen [1 ,2 ]
Wang Yanyan [3 ,4 ]
Yang Ningbo [1 ,2 ,5 ]
Zhang Qiumei [6 ,7 ,8 ]
Zhao Wan [6 ,7 ]
Zhai Jinguo [8 ]
Chen Min [8 ]
Du Boqi [6 ,7 ]
Deng Xiaoxiang [6 ,7 ]
Ji Feng [8 ]
Xiang Yu-Tao [9 ]
Song Jie [10 ]
Wu Hongjie [10 ]
Dong Qi [6 ,7 ]
Chen Chuansheng [11 ]
Wang Chuanyue [1 ,2 ]
Li Jun [6 ,7 ]
机构
[1] Capital Med Univ, Beijing Anding Hosp, Natl Clin Res Ctr Mental Disorders, Sch Mental Hlth, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Anding Hosp, Beijing Key Lab Mental Disorders & Adv Innovat, Sch Mental Hlth,Ctr Human Brain Protect, Beijing, Peoples R China
[3] PLA 102nd Hosp, Changzhou 213003, Peoples R China
[4] Mental Hlth Ctr Mil, Changzhou 213003, Peoples R China
[5] Henan Univ Sci & Technol, Affiliated Hosp 1, 24 Jinghua Rd, Jianxi Dist 471003, Luoyang, Peoples R China
[6] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
[7] Beijing Normal Univ, IDG, McGovern Inst Brain Res, Beijing, Peoples R China
[8] Jining Med Univ, Sch Mental Hlth, 45 Jianshe South Rd, Jining 272013, Shandong, Peoples R China
[9] Univ Macau, Fac Hlth Sci, Ave Univ, Taipa, Macao, Peoples R China
[10] Shengli Petr Adm Bur, Shengli Hosp, Dongying 257022, Shandong, Peoples R China
[11] Univ Calif Irvine, Dept Psychol & Social Behav, Irvine, CA 92697 USA
基金
中国国家自然科学基金;
关键词
Schizophrenia; Ultrahigh risk; Degree centrality; Functional connectivity; Network; ABNORMAL DEGREE CENTRALITY; VISUAL OBJECT RECOGNITION; NEGATIVE SYNDROME SCALE; GLOBAL SIGNAL; AUDITORY HALLUCINATIONS; 5-FACTOR MODEL; HUBS; SYMPTOMS; DEFAULT; CORTEX;
D O I
10.1016/j.pscychresns.2019.06.004
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:51 / 57
页数:7
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