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作者 | Liu Shu1,2; Li Ang1,2; Liu Yong1,2,3; Yan Hao4,5; Wang Meng1,2; Sun Yuqing1,2; Fan Lingzhong1,2; Song Ming1,2; Xu Kaibin1,2; Chen Jun6
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刊名 | The British Journal of Psychiatry
; The British Journal of Psychiatry
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出版日期 | 2019-06-06
; 2019-06-06
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期号 | 2019页码:1-8 |
关键词 | Schizophrenia
Polygenic Risk Score
Hippocampus
Rey Matter Volume
Functional Connectivity
Schizophrenia
Polygenic Risk Score
Hippocampus
Rey Matter Volume
Functional Connectivity
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DOI | 10.1192/bjp.2019.127
; 10.1192/bjp.2019.127
|
英文摘要 | Background
Schizophrenia is a complex mental disorder with high heritability and polygenic inheritance. Multimodal neuroimaging studies have also indicated that abnormalities of brain structure and function are a plausible neurobiological characterisation of schizophrenia. However, the polygenic effects of schizophrenia on these imaging endophenotypes have not yet been fully elucidated.
Aims
To investigate the effects of polygenic risk for schizophrenia on the brain grey matter volume and functional connectivity, which are disrupted in schizophrenia.
Method
Genomic and neuroimaging data from a large sample of Han Chinese patients with schizophrenia (N = 509) and healthy controls (N = 502) were included in this study. We examined grey matter volume and functional connectivity via structural and functional magnetic resonance imaging, respectively. Using the data from a recent meta-analysis of a genome-wide association study that comprised a large number of Chinese people, we calculated a polygenic risk score (PGRS) for each participant.
Results
The imaging genetic analysis revealed that the individual PGRS showed a significantly negative correlation with the hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity, both of which were lower in the people with schizophrenia than in the controls. We also found that the observed neuroimaging measures showed weak but similar changes in unaffected first-degree relatives of patients with schizophrenia.
Conclusions
These findings suggested that genetically influenced brain grey matter volume and functional connectivity may provide important clues for understanding the pathological mechanisms of schizophrenia and for the early diagnosis of schizophrenia ; Background
Schizophrenia is a complex mental disorder with high heritability and polygenic inheritance. Multimodal neuroimaging studies have also indicated that abnormalities of brain structure and function are a plausible neurobiological characterisation of schizophrenia. However, the polygenic effects of schizophrenia on these imaging endophenotypes have not yet been fully elucidated.
Aims
To investigate the effects of polygenic risk for schizophrenia on the brain grey matter volume and functional connectivity, which are disrupted in schizophrenia.
Method
Genomic and neuroimaging data from a large sample of Han Chinese patients with schizophrenia (N = 509) and healthy controls (N = 502) were included in this study. We examined grey matter volume and functional connectivity via structural and functional magnetic resonance imaging, respectively. Using the data from a recent meta-analysis of a genome-wide association study that comprised a large number of Chinese people, we calculated a polygenic risk score (PGRS) for each participant.
Results
The imaging genetic analysis revealed that the individual PGRS showed a significantly negative correlation with the hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity, both of which were lower in the people with schizophrenia than in the controls. We also found that the observed neuroimaging measures showed weak but similar changes in unaffected first-degree relatives of patients with schizophrenia.
Conclusions
These findings suggested that genetically influenced brain grey matter volume and functional connectivity may provide important clues for understanding the pathological mechanisms of schizophrenia and for the early diagnosis of schizophrenia |
语种 | 英语
; 英语
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源URL | [http://ir.ia.ac.cn/handle/173211/23894] |
专题 | 自动化研究所_脑网络组研究中心
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通讯作者 | Liu Bing |
作者单位 | 1.Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation 4.Peking University Sixth Hospital /Institute of Mental Health 5.Key Laboratory of Mental Health, Ministry of Health (Peking University) 6.Department of Radiology, Renmin Hospital of Wuhan University 7.Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University 8.Zhumadian Psychiatric Hospital 9.Department of Psychiatry, Henan Mental Hospital ,The Second Affiliated Hospital of Xinxiang Medical University 10.Henan Key Lab of Biological Psychiatry, Xinxiang Medical University
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推荐引用方式 GB/T 7714 |
Liu Shu,Li Ang,Liu Yong,et al. Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity, Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity[J]. The British Journal of Psychiatry, The British Journal of Psychiatry,2019, 2019(2019):1-8, 1-8.
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APA |
Liu Shu.,Li Ang.,Liu Yong.,Yan Hao.,Wang Meng.,...&Liu Bing.(2019).Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity.The British Journal of Psychiatry(2019),1-8.
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MLA |
Liu Shu,et al."Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity".The British Journal of Psychiatry .2019(2019):1-8.
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