CASIA OpenIR
Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population
Liu, Shengfeng1,2,3,4,5; Wang, Haiying3; Song, Ming1,2; Lv, Luxian6,7; Cui, Yue1,2; Liu, Yong1,2; Fan, Lingzhong1,2; Zuo, Nianming1,2; Xu, Kaibin1,2; Du, Yuhui8,9; Yu, Qingbao8; Luo, Na1,2,4; Qi, Shile1,2,4; Yang, Jian10; Xie, Sangma1,2; Li, Jian1,2; Chen, Jun11; Chen, Yunchun12; Wang, Huaning12; Guo, Hua13; Wan, Ping13; Yang, Yongfeng6,7,14; Li, Peng15,16; Lu, Lin15,16,17; Yan, Hao15,16; Yan, Jun15,16; Wang, Huiling18; Zhang, Hongxing6,7,19; Zhang, Dai15,16,20; Calhoun, Vince D.8,21; Jiang, Tianzi1,2,4,17,22; Sui, Jing1,2,4,8,22
Source PublicationSCHIZOPHRENIA BULLETIN
ISSN0586-7614
2019-03-01
Volume45Issue:2Pages:436-449
Corresponding AuthorSui, Jing(jing.sui@nlpr.ia.ac.cn)
AbstractMultimodal fusion has been regarded as a promising tool to discover covarying patterns of multiple imaging types impaired in brain diseases, such as schizophrenia (SZ). In this article, we aim to investigate the covarying abnormalities underlying SZ in a large Chinese Han population (307 SZs, 298 healthy controls [HCs]). Four types of magnetic resonance imaging (MRI) features, including regional homogeneity (ReHo) from resting-state functional MRI, gray matter volume (GM) from structural MRI, fractional anisotropy (FA) from diffusion MRI, and functional network connectivity (FNC) resulted from group independent component analysis, were jointly analyzed by a data-driven multivariate fusion method. Results suggest that a widely distributed network disruption appears in SZ patients, with synchronous changes in both functional and structural regions, especially the basal ganglia network, salience network (SAN), and the frontoparietal network. Such a multimodal coalteration was also replicated in another independent Chinese sample (40 SZs, 66 HCs). Our results on auditory verbal hallucination (AVH) also provide evidence for the hypothesis that prefrontal hypoactivation and temporal hyperactivation in SZ may lead to failure of executive control and inhibition, which is relevant to AVH. In addition, impaired working memory performance was found associated with GM reduction and FA decrease in SZ in prefrontal and superior temporal area, in both discovery and replication datasets. In summary, by leveraging multiple imaging and clinical information into one framework to observe brain in multiple views, we can integrate multiple inferences about SZ from large-scale population and offer unique perspectives regarding the missing links between the brain function and structure that may not be achieved by separate unimodal analyses.
Keywordmultimodal fusion resting-state fMRI schizophrenia auditory hallucination functional network connectivity (FNC) structural MRI diffusion MRI MCCA plus jICA
DOI10.1093/schbul/sby045
WOS KeywordAUDITORY HALLUCINATIONS ; FUNCTIONAL CONNECTIVITY ; 1ST-EPISODE SCHIZOPHRENIA ; WHITE-MATTER ; GRAY-MATTER ; ANTIPSYCHOTIC TREATMENT ; BIPOLAR DISORDER ; WORKING-MEMORY ; DIGIT SPAN ; FUSION
Indexed BySCI
Language英语
Funding ProjectChinese National Science Foundation[81471367] ; Chinese National Science Foundation[61773380] ; Chinese National Science Foundation[61703253] ; National High-Tech Development Plan (863 program)[2015AA020513] ; 100 Talents Plan of Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB02060005] ; Natural Science Foundation of Shanxi[2016021077] ; NIH[R01EB005846] ; NIH[1R01MH094524] ; NIH[P20GM103472]
Funding OrganizationChinese National Science Foundation ; National High-Tech Development Plan (863 program) ; 100 Talents Plan of Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Natural Science Foundation of Shanxi ; NIH
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000461163300023
PublisherOXFORD UNIV PRESS
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24993
Collection中国科学院自动化研究所
Corresponding AuthorSui, Jing
Affiliation1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Harbin Univ Sci & Technol, Sch Automat, Harbin, Heilongjiang, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Shenzhen Univ, Sch Biomed Engn, Guangdong Key Lab Biomed Measurements & Ultrasoun, Natl Reg Key Technol Engn Lab Med Ultrasound, Shenzhen, Peoples R China
6.Xinxiang Med Univ, Affiliated Hosp 2, Henan Mental Hosp, Dept Psychiat, Xinxiang, Peoples R China
7.Xinxiang Med Univ, Henan Key Lab Biol Psychiat, Xinxiang, Peoples R China
8.Mind Res Network, Albuquerque, NM USA
9.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China
10.Beijing Inst Technol, Sch Opt & Elect, Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing, Peoples R China
11.Wuhan Univ, Renmin Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China
12.Fourth Mil Med Univ, Xijing Hosp, Dept Psychiat, Xian, Shaanxi, Peoples R China
13.Zhumadian Psychiat Hosp, Zhumadian, Peoples R China
14.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu, Sichuan, Peoples R China
15.Peking Univ, Hosp 6, Inst Mental Hlth, Beijing, Peoples R China
16.Peking Univ, Minist Hlth, Key Lab Mental Hlth, Beijing, Peoples R China
17.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia
18.Wuhan Univ, Renmin Hosp, Dept Psychiat, Wuhan, Hubei, Peoples R China
19.Xinxiang Med Univ, Dept Psychol, Xinxiang, Peoples R China
20.Peking Univ, McGovern Inst Brain Res, PKU IDG, Ctr Life Sci, Beijing, Peoples R China
21.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
22.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China;  Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Shengfeng,Wang, Haiying,Song, Ming,et al. Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population[J]. SCHIZOPHRENIA BULLETIN,2019,45(2):436-449.
APA Liu, Shengfeng.,Wang, Haiying.,Song, Ming.,Lv, Luxian.,Cui, Yue.,...&Sui, Jing.(2019).Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population.SCHIZOPHRENIA BULLETIN,45(2),436-449.
MLA Liu, Shengfeng,et al."Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population".SCHIZOPHRENIA BULLETIN 45.2(2019):436-449.
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