A neuroimaging biomarker for striatal dysfunction in schizophrenia | |
Li, Ang1,2,3,4; Zalesky, Andrew5,6,7; Yue, Weihua8,9,10; Howes, Oliver11,12; Yan, Hao8,9,10; Liu, Yong1,2,3,4; Fan, Lingzhong1,2,3,4; Whitaker, Kirstie J.13,14; Xu, Kaibin1,2,3; Rao, Guangxiang1,2,3,4; Li, Jin1,2,3; Liu, Shu1,2,3,4; Wang, Meng1,2,3,4; Sun, Yuqing1,2,3,4; Song, Ming1,2,3; Li, Peng8,9,10; Chen, Jun1,2,3; Chen, Yunchun16; Wang, Huaning16; Liu, Wenming16; Li, Zhigang17; Yang, Yongfeng18,19; Guo, Hua17; Wan, Ping17; Lv, Luxian18,19; Lu, Lin8,9,10; Yan, Jun8,9,10; Song, Yuqing8,9,10; Wang, Huiling20; Zhang, Hongxing18,19,21; Wu, Huawang22; Ning, Yuping22; Du, Yuhui23; Cheng, Yuqi24; Xu, Jian24; Xu, Xiufeng24; Zhang, Dai8,9,10,25; Wang, Xiaoqun3,4,26; Jiang, Tianzi1,2,3,4,27,28,29; Liu, Bing1,2,3,4,27 | |
发表期刊 | NATURE MEDICINE |
ISSN | 1078-8956 |
2020-03-23 | |
卷号 | 26期号:26页码:27 |
通讯作者 | Jiang, Tianzi(Jiangtz@nlpr.ia.ac.cn) ; Liu, Bing(bliu@nlpria.ac.cn) |
摘要 | Mounting evidence suggests that function and connectivity of the striatum is disrupted in schizophrenia(1-5). We have developed a new hypothesis-driven neuroimaging biomarker for schizophrenia identification, prognosis and subtyping based on functional striatal abnormalities (FSA). FSA scores provide a personalized index of striatal dysfunction, ranging from normal to highly pathological. Using inter-site cross-validation on functional magnetic resonance images acquired from seven independent scanners (n = 1,100), FSA distinguished individuals with schizophrenia from healthy controls with an accuracy exceeding 80% (sensitivity, 79.3%; specificity, 81.5%). In two longitudinal cohorts, inter-individual variation in baseline FSA scores was significantly associated with antipsychotic treatment response. FSA revealed a spectrum of severity in striatal dysfunction across neuropsychiatric disorders, where dysfunction was most severe in schizophrenia, milder in bipolar disorder, and indistinguishable from healthy individuals in depression, obsessive-compulsive disorder and attention-deficit hyperactivity disorder. Loci of striatal hyperactivity recapitulated the spatial distribution of dopaminergic function and the expression profiles of polygenic risk for schizophrenia. In conclusion, we have developed a new biomarker to index striatal dysfunction and established its utility in predicting antipsychotic treatment response, clinical stratification and elucidating striatal dysfunction in neuropsychiatric disorders. A new cross-validated neuroimaging biomarker that reflects striatal dysfunctioning can be used to distinguish patients with schizophrenia from healthy controls, and is associated with treatment response to antipsychotics. |
关键词 | TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK |
DOI | 10.1038/s41591-020-0793-8 |
关键词[WOS] | TREATMENT-RESISTANT SCHIZOPHRENIA ; RESTING-STATE FMRI ; FUNCTIONAL CONNECTIVITY ; DOPAMINE HYPOTHESIS ; GENE-EXPRESSION ; NETWORK ; PSYCHOSIS ; RISK ; DYSCONNECTIVITY ; DISORDER |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Basic Research and Development Program (973)[2011CB707800] ; National Key Research and Development Plan[2016YFC0904300] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32020200] ; Natural Science Foundation of China[81771451] |
项目资助者 | National Key Basic Research and Development Program (973) ; National Key Research and Development Plan ; Strategic Priority Research Program of Chinese Academy of Science ; Natural Science Foundation of China |
WOS研究方向 | Biochemistry & Molecular Biology ; Cell Biology ; Research & Experimental Medicine |
WOS类目 | Biochemistry & Molecular Biology ; Cell Biology ; Medicine, Research & Experimental |
WOS记录号 | WOS:000521529700004 |
出版者 | NATURE PUBLISHING GROUP |
七大方向——子方向分类 | 脑网络分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/38707 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Jiang, Tianzi; Liu, Bing |
作者单位 | 1.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China 5.Univ Melbourne, Dept Psychiat, Melbourne Neuropsychiat Ctr, Melbourne, Vic, Australia 6.Melbourne Hlth, Melbourne, Vic, Australia 7.Univ Melbourne, Dept Biomed Engn, Melbourne, Vic, Australia 8.Peking Univ, Sixth Hosp, Inst Mental Hlth, Beijing, Peoples R China 9.Peking Univ, Sixth Hosp, Minist Hlth, Key Lab Mental Hlth, Beijing, Peoples R China 10.Peking Univ, Sixth Hosp, Natl Clin Res Ctr Mental Disorders, Beijing, Peoples R China 11.Imperial Coll London, MRC London Inst Med Sci, Hammersmith Hosp, Psychiat Imaging Grp, London, England 12.Kings Coll London, Inst Psychiat, London, England 13.Univ Cambridge, Dept Psychiat, Cambridge, England 14.British Lib, Alan Turing Inst, London, England 15.Wuhan Univ, Renmin Hosp, Dept Radiol, Wuhan, Peoples R China 16.Fourth Mil Med Univ, Xijing Hosp, Dept Psychiat, Xian, Peoples R China 17.Zhumadian Psychiat Hosp, Zhumadian, Peoples R China 18.Xinxiang Med Univ, Affiliated Hosp 2, Henan Mental Hosp, Dept Psychiat, Xinxiang, Henan, Peoples R China 19.Xinxiang Med Univ, Int Joint Res Lab Psychiat & Neurosci Henan, Henan Key Lab Biol Psychiat, Xinxiang, Henan, Peoples R China 20.Wuhan Univ, Renmin Hosp, Dept Psychiat, Wuhan, Peoples R China 21.Xinxiang Med Univ, Dept Psychol, Xinxiang, Henan, Peoples R China 22.Guangzhou Med Univ, Guangzhou Huiai Hosp, Affiliated Brain Hosp, Guangzhou, Peoples R China 23.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Peoples R China 24.Kunming Med Univ, Affiliated Hosp 1, Dept Psychiat, Kunming, Yunnan, Peoples R China 25.Peking Univ, McGovern Inst Brain Res, PKU IDG, Ctr Life Sci, Beijing, Peoples R China 26.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China 27.Chinese Acad Sci, Innovat Acad Artificial Intelligence, Beijing, Peoples R China 28.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab Neuro Informat, Chengdu, Peoples R China 29.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Li, Ang,Zalesky, Andrew,Yue, Weihua,et al. A neuroimaging biomarker for striatal dysfunction in schizophrenia[J]. NATURE MEDICINE,2020,26(26):27. |
APA | Li, Ang.,Zalesky, Andrew.,Yue, Weihua.,Howes, Oliver.,Yan, Hao.,...&Liu, Bing.(2020).A neuroimaging biomarker for striatal dysfunction in schizophrenia.NATURE MEDICINE,26(26),27. |
MLA | Li, Ang,et al."A neuroimaging biomarker for striatal dysfunction in schizophrenia".NATURE MEDICINE 26.26(2020):27. |
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