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Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement

文献类型：期刊论文

作者Shi, Weiyang18,19,20; Fan, Lingzhong17,18,19,20; Wang, Haiyan19,20; Liu, Bing15,16; Li, Wen18,19,20; Li, Jin19,20; Cheng, Luqi14,19,20; Chu, Congying19,20; Song, Ming18,19,20; Sui, Jing16
刊名CEREBRAL CORTEX
出版日期2022-08-25
页码18
ISSN号1047-3211
关键词schizophrenia subtype structural MRI neuroimaging-clinic association analysis neuroimaging-transcription association analysis
DOI10.1093/cercor/bhac301
通讯作者Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn)
英文摘要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.
WOS关键词ALZHEIMERS-DISEASE ; NEGATIVE SYMPTOMS ; WHITE-MATTER ; BRAIN ; VOLUME ; HETEROGENEITY ; GRAY ; BIOMARKERS ; OXYTOCIN ; DISORDER
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]
WOS研究方向Neurosciences & Neurology
语种英语
出版者OXFORD UNIV PRESS INC
WOS记录号WOS:000844525200001
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/49888]  
专题自动化研究所_脑网络组研究中心
通讯作者Jiang, Tianzi
作者单位1.Chinese Acad Sci, Innovat Acad Artificial Intelligence, Beijing 100190, Peoples R China
2.Res Ctr Augmented Intelligence, Zhejiang Lab, Hangzhou 311100, Peoples R China
3.Peking Univ, Ctr Life Sci, PKU IDG, McGovern Inst Brain Res, Beijing 100191, Peoples R China
4.Xinxiang Med Univ, Dept Psychol, Xinxiang 453002, Henan, Peoples R China
5.Wuhan Univ, Dept Psychiat, Renmin Hosp, Wuhan 430060, Peoples R China
6.Xinxiang Med Univ, Int Joint Res Lab Psychiat & Neurosci Henan, Henan Key Lab Biol Psychiat, Xinxiang 453002, Henan, Peoples R China
7.Xinxiang Med Univ, Henan Mental Hosp, Dept Psychiat, Affiliated Hosp 2, Xinxiang 453002, Henan, Peoples R China
8.Peking Univ, Natl Clin Res Ctr Mental Disorders, Key Lab Mental Hlth, Minist Hlth, Beijing 100191, Peoples R China
9.Peking Univ, Inst Mental Hlth, Peking Univ Sixth Hosp, Beijing 100191, Peoples R China
10.Zhumadian Psychiat Hosp, Zhumadian 463000, Peoples R China
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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来源：自动化研究所

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