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Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement
Shi, Weiyang1,2,3; Fan, Lingzhong1,2,3,4; Wang, Haiyan1,2; Liu, Bing5,6; Li, Wen1,2,3; Li, Jin1,2; Cheng, Luqi1,2,7; Chu, Congying1,2; Song, Ming1,2,3; Sui, Jing5; Luo, Na1,2; Cui, Yue1,2,3; Dong, Zhenwei1,2,3; Lu, Yuheng1,2,3; Ma, Yawei1,2,8; Ma, Liang1,2,3; Li, Kaixin1,2; Chen, Jun9; Chen, Yunchun10; Guo, Hua11; Li, Peng12,13; Lu, Lin12,13; Lv, Luxian14,15; Wan, Ping11; Wang, Huaning10; Wang, Huiling9,16; Yan, Hao12,13; Yan, Jun12,13; Yang, Yongfeng14,15; Zhang, Hongxing14,15,17; Zhang, Dai12,13,18; Jiang, Tianzi1,2,3,4,19,20
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
2022-08-25
Pages18
Corresponding AuthorJiang, Tianzi(jiangtz@nlpr.ia.ac.cn)
AbstractDifficulties in parsing the multiaspect heterogeneity of schizophrenia (SCZ) based on current nosology highlight the need to subtype SCZ using objective biomarkers. Here, utilizing a large-scale multisite SCZ dataset, we identified and validated 2 neuroanatomical subtypes with individual-level abnormal patterns of the tensor-based morphometric measurement. Remarkably, compared with subtype 1, which showed moderate deficits of some subcortical nuclei and an enlarged striatum and cerebellum, subtype 2, which showed cerebellar atrophy and more severe subcortical nuclei atrophy, had a higher subscale score of negative symptoms, which is considered to be a core aspect of SCZ and is associated with functional outcome. Moreover, with the neuroimaging-clinic association analysis, we explored the detailed relationship between the heterogeneity of clinical symptoms and the heterogeneous abnormal neuroanatomical patterns with respect to the 2 subtypes. And the neuroimaging-transcription association analysis highlighted several potential heterogeneous biological factors that may underlie the subtypes. Our work provided an effective framework for investigating the heterogeneity of SCZ from multilevel aspects and may provide new insights for precision psychiatry.
Keywordschizophrenia subtype structural MRI neuroimaging-clinic association analysis neuroimaging-transcription association analysis
DOI10.1093/cercor/bhac301
WOS KeywordALZHEIMERS-DISEASE ; NEGATIVE SYMPTOMS ; WHITE-MATTER ; BRAIN ; VOLUME ; HETEROGENEITY ; GRAY ; BIOMARKERS ; OXYTOCIN ; DISORDER
Indexed BySCI
Language英语
Funding ProjectChinese Academy of Sciences, Science and Technology Service Network Initiative[KFJ-STS-ZDTP-078] ; National Natural Science Foundation of China[31300934] ; National Natural Science Foundation of China[31620103905] ; Science Frontier Program of the C hinese Academy of Sciences[QYZDJ-SSW-SMC019] ; National Key R&D Program o f China[2017YFA0105203] ; Open Research Fund of the State Key Laboratory of Cognitive Neuro science and Learning[CNLYB2004]
Funding OrganizationChinese Academy of Sciences, Science and Technology Service Network Initiative ; National Natural Science Foundation of China ; Science Frontier Program of the C hinese Academy of Sciences ; National Key R&D Program o f China ; Open Research Fund of the State Key Laboratory of Cognitive Neuro science and Learning
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000844525200001
PublisherOXFORD UNIV PRESS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/49889
Collection脑网络组研究
Corresponding AuthorJiang, Tianzi
Affiliation1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Inst Automat, Beijing 100190, Peoples R China
5.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
6.Chinese Inst Brain Res, Beijing 102206, Peoples R China
7.Guilin Univ Elect Technol, Sch Life & Environm Sci, Guilin 541004, Peoples R China
8.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
9.Wuhan Univ, Dept Radiol, Renmin Hosp, Wuhan 430060, Peoples R China
10.Fourth Mil Med Univ, Xijing Hosp, Dept Psychiat, Xian 710032, Peoples R China
11.Zhumadian Psychiat Hosp, Zhumadian 463000, Peoples R China
12.Peking Univ, Inst Mental Hlth, Peking Univ Sixth Hosp, Beijing 100191, Peoples R China
13.Peking Univ, Natl Clin Res Ctr Mental Disorders, Key Lab Mental Hlth, Minist Hlth, Beijing 100191, Peoples R China
14.Xinxiang Med Univ, Henan Mental Hosp, Dept Psychiat, Affiliated Hosp 2, Xinxiang 453002, Henan, Peoples R China
15.Xinxiang Med Univ, Int Joint Res Lab Psychiat & Neurosci Henan, Henan Key Lab Biol Psychiat, Xinxiang 453002, Henan, Peoples R China
16.Wuhan Univ, Dept Psychiat, Renmin Hosp, Wuhan 430060, Peoples R China
17.Xinxiang Med Univ, Dept Psychol, Xinxiang 453002, Henan, Peoples R China
18.Peking Univ, Ctr Life Sci, PKU IDG, McGovern Inst Brain Res, Beijing 100191, Peoples R China
19.Res Ctr Augmented Intelligence, Zhejiang Lab, Hangzhou 311100, Peoples R China
20.Chinese Acad Sci, Innovat Acad Artificial Intelligence, Beijing 100190, Peoples R China
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
Shi, Weiyang,Fan, Lingzhong,Wang, Haiyan,et al. Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement[J]. CEREBRAL CORTEX,2022:18.
APA Shi, Weiyang.,Fan, Lingzhong.,Wang, Haiyan.,Liu, Bing.,Li, Wen.,...&Jiang, Tianzi.(2022).Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement.CEREBRAL CORTEX,18.
MLA Shi, Weiyang,et al."Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement".CEREBRAL CORTEX (2022):18.
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