Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia | |
Luo, Na1,2,3; Tian, Lin4; Calhoun, Vince D.5,6,7; Chen, Jiayu5,6; Lin, Dongdong5,6; Vergara, Victor M.5,6; Rao, Shuquan8; Yang, Jian9; Zhuo, Chuanjun10,11; Xu, Yong12; Turner, Jessica A.13; Zhang, Fuquan4; Sui, Jing1,2,3,14 | |
发表期刊 | NEUROIMAGE-CLINICAL |
ISSN | 2213-1582 |
2019 | |
卷号 | 23期号:2019页码:9 |
摘要 | The progress of schizophrenia at various stages is an intriguing question, which has been explored to some degree using single-modality brain imaging data, e.g. gray matter (GM) or functional connectivity (FC). However it remains unclear how those changes from different modalities are correlated with each other and if the sensitivity to duration of illness and disease stages across modalities is different. In this work, we jointly analyzed FC, GM volume and single nucleotide polymorphisms (SNPs) data of 159 individuals including healthy controls (HC), drug-naive first-episode schizophrenia (FESZ) and chronic schizophrenia patients (CSZ), aiming to evaluate the links among SNP, FC and GM patterns, and their sensitivity to duration of illness and disease stages in schizophrenia. Our results suggested: 1) both GM and FC highlighted impairments in hippocampal, temporal gyrus and cerebellum in schizophrenia, which were significantly correlated with genes like SATB2, GABBR2, PDE4B, CACNA1C etc. 2) GM and FC presented gradually decrease trend (HC > FESZ > CSZ), while SNP indicated a non-gradual variation trend with un-significant group difference observed between FESZ and CSZ; 3) Group difference between HC and FESZ of FC was more remarkable than GM, and FC presented a stronger negative correlation with duration of illness than GM (p = 0.0006). Collectively, these results highlight the benefit of leveraging multimodal data and provide additional clues regarding the impact of mental illness at various disease stages. |
关键词 | Multimodal fusion SNP-FC-GM Schizophrenia stages Sensitivity Duration of illness ICA |
DOI | 10.1016/j.nicl.2019.101887 |
关键词[WOS] | GRAY-MATTER ; 1ST EPISODE ; MULTIMODAL FUSION ; CONNECTIVITY ; ABNORMALITIES ; METAANALYSIS ; 1ST-EPISODE ; EXPRESSION ; NAIVE ; ASSOCIATION |
收录类别 | SCI |
语种 | 英语 |
资助项目 | NIH[R01REB020407] ; NIH[R56MH117107] ; Natural Science Foundation of China[81871081] ; Beijing Municipal Science and Technology Commission[Z181100001518005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32040100] ; Primary Research & Development Plan of Jiangsu Province[BE2016630] ; Natural Science Foundation of China[61773380] ; National Key R&D Program of China[2017YFC0112000] ; NIH[R01EB005846] ; NIH[P20GM103472] ; NIH[P20GM103472] ; NIH[R01EB005846] ; National Key R&D Program of China[2017YFC0112000] ; Natural Science Foundation of China[61773380] ; Primary Research & Development Plan of Jiangsu Province[BE2016630] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32040100] ; Beijing Municipal Science and Technology Commission[Z181100001518005] ; Natural Science Foundation of China[81871081] ; NIH[R56MH117107] ; NIH[R01REB020407] |
WOS研究方向 | Neurosciences & Neurology |
WOS类目 | Neuroimaging |
WOS记录号 | WOS:000485804400076 |
出版者 | ELSEVIER SCI LTD |
七大方向——子方向分类 | 脑网络分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/27296 |
专题 | 脑网络组研究 |
通讯作者 | Zhang, Fuquan; Sui, Jing |
作者单位 | 1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Wuxi Mental Hlth Ctr, Wuxi 214000, Jiangsu, Peoples R China 5.Georgia State Univ, Georgia Inst Technol, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30303 USA 6.Emory Univ, Atlanta, GA 30303 USA 7.Mind Res Network, Albuquerque, NM 87106 USA 8.Southwest Jiaotong Univ, Sch Life Sci & Engn, Chengdu 610031, Sichuan, Peoples R China 9.Beijing Inst Technol, Sch Opt & Elect, Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing, Peoples R China 10.Nankai Univ, Tianjin Mental Hlth Ctr, Affiliated Anding Hosp, Dept Psychiat Neuroimaging Genet, Tianjin 300222, Peoples R China 11.Nankai Univ, Tianjin Mental Hlth Ctr, Affiliated Anding Hosp, Morbid Lab PNGC Lab, Tianjin 300222, Peoples R China 12.Shanxi Med Univ, Hosp 1, Clin Med Coll 1, Dept Psychiat, Taiyuan 030000, Shanxi, Peoples R China 13.Georgia State Univ, Inst Neurosci, Dept Psychol, Atlanta, GA 30303 USA 14.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, 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; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Luo, Na,Tian, Lin,Calhoun, Vince D.,et al. Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia[J]. NEUROIMAGE-CLINICAL,2019,23(2019):9. |
APA | Luo, Na.,Tian, Lin.,Calhoun, Vince D..,Chen, Jiayu.,Lin, Dongdong.,...&Sui, Jing.(2019).Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia.NEUROIMAGE-CLINICAL,23(2019),9. |
MLA | Luo, Na,et al."Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia".NEUROIMAGE-CLINICAL 23.2019(2019):9. |
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