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Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement | |
Shi, Weiyang1,2,3![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
发表期刊 | CEREBRAL CORTEX
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ISSN | 1047-3211 |
2022-08-25 | |
页码 | 18 |
摘要 | Difficulties 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. |
关键词 | schizophrenia subtype structural MRI neuroimaging-clinic association analysis neuroimaging-transcription association analysis |
DOI | 10.1093/cercor/bhac301 |
关键词[WOS] | ALZHEIMERS-DISEASE ; NEGATIVE SYMPTOMS ; WHITE-MATTER ; BRAIN ; VOLUME ; HETEROGENEITY ; GRAY ; BIOMARKERS ; OXYTOCIN ; DISORDER |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Chinese 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] |
项目资助者 | Chinese 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研究方向 | Neurosciences & Neurology |
WOS类目 | Neurosciences |
WOS记录号 | WOS:000844525200001 |
出版者 | OXFORD UNIV PRESS INC |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 脑网络分析 |
国重实验室规划方向分类 | 多模态智能神经机理解析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/49889 |
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 |
作者单位 | 1.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 |
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 | 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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