中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

文献类型:期刊论文

作者Yan, Weizheng2,3,4; Calhoun, Vince5; Song, Ming2,3,4; Cui, Yue2,3,4; Yan, Hao6,7; Liu, Shengfeng2,3,4; Fan, Lingzhong2,3,4; Zuo, Nianming2,3,4; Yang, Zhengyi2,3,4; Xu, Kaibin2,3,4
刊名EBIOMEDICINE
出版日期2019-09-01
卷号47页码:543-552
ISSN号2352-3964
关键词Recurrent neural network (RNN) Schizophrenia Multi-site classification fMRI Striatum Cerebellum Deep learning
DOI10.1016/j.ebiom.2019.08.023
通讯作者Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn) ; Sui, Jing(jing.sui@nlpr.ia.ac.cn)
英文摘要Background: Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information. Methods: Motivated by the ability of recurrent neural networks (RNN) in capturing dynamic information of time sequences, we propose a multi-scale RNN model, which enables classification between 558 schizophrenia and 542 healthy controls by using time courses of fMRI independent components (ICs) directly. To increase interpretability, we also propose a leave-one-IC-out looping strategy for estimating the top contributing ICs. Findings: Accuracies of 83.2% and 80.2% were obtained respectively for the multi-site pooling and leave-one-site-out transfer classification. Subsequently, dorsal striatum and cerebellum components contribute the top two group-discriminative time courses, which is true even when adopting different brain atlases to extract time series. Interpretation: This is the first attempt to apply a multi-scale RNN model directly on IMRI time courses for classification of mental disorders, and shows the potential for multi-scale RNN-based neuroimaging classifications. (C) 2019 Published by Elsevier B.V.
WOS关键词STATE FUNCTIONAL CONNECTIVITY ; WHOLE-BRAIN ; CLASSIFICATION ; STRIATUM ; BIPOLAR ; FRAMEWORK ; MOTION ; ICA
资助项目Natural Science Foundation of China[61773380] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32040100] ; Beijing Municipal Science and Technology Commission[Z181100001518005] ; National Institute of Health[1R56MH117107] ; National Institute of Health[R01EB005846] ; National Institute of Health[R01MH094524] ; National Institute of Health[P20GM103472] ; National Science Foundation[1539067]
WOS研究方向General & Internal Medicine ; Research & Experimental Medicine
语种英语
出版者ELSEVIER
WOS记录号WOS:000486976200062
资助机构Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Beijing Municipal Science and Technology Commission ; National Institute of Health ; National Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/27016]  
专题自动化研究所_脑网络组研究中心
通讯作者Jiang, Tianzi; Sui, Jing
作者单位1.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30303 USA
6.Peking Univ, Hosp 6, Inst Mental Hlth, Beijing 100191, Peoples R China
7.Peking Univ, Key Lab Mental Hlth, Minist Hlth, Beijing 100191, Peoples R China
8.Xinxiang Med Univ, Affiliated Hosp 2, Henan Mental Hosp, Dept Psychiat, Xinxiang 453002, Henan, Peoples R China
9.Xinxiang Med Univ, Henan Key Lab Biol Psychiat, Xinxiang 453002, Henan, Peoples R China
10.Wuhan Univ, Renmin Hosp, Dept Radiol, Wuhan 430060, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Yan, Weizheng,Calhoun, Vince,Song, Ming,et al. Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data[J]. EBIOMEDICINE,2019,47:543-552.
APA Yan, Weizheng.,Calhoun, Vince.,Song, Ming.,Cui, Yue.,Yan, Hao.,...&Sui, Jing.(2019).Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.EBIOMEDICINE,47,543-552.
MLA Yan, Weizheng,et al."Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data".EBIOMEDICINE 47(2019):543-552.

入库方式: OAI收割

来源:自动化研究所

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