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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
Source PublicationNATURE MEDICINE
ISSN1078-8956
2020-03-23
Volume26Issue:26Pages:27
Corresponding AuthorJiang, Tianzi(Jiangtz@nlpr.ia.ac.cn) ; Liu, Bing(bliu@nlpria.ac.cn)
Abstract

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.

KeywordTREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK
DOI10.1038/s41591-020-0793-8
WOS KeywordTREATMENT-RESISTANT SCHIZOPHRENIA ; RESTING-STATE FMRI ; FUNCTIONAL CONNECTIVITY ; DOPAMINE HYPOTHESIS ; GENE-EXPRESSION ; NETWORK ; PSYCHOSIS ; RISK ; DYSCONNECTIVITY ; DISORDER
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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 Research AreaBiochemistry & Molecular Biology ; Cell Biology ; Research & Experimental Medicine
WOS SubjectBiochemistry & Molecular Biology ; Cell Biology ; Medicine, Research & Experimental
WOS IDWOS:000521529700004
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:35[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/38707
Collection脑网络组研究
Corresponding AuthorJiang, Tianzi; Liu, Bing
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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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