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NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

文献类型：期刊论文

作者Du, Yuhui2,9; Fu, Zening2; Sui, Jing2,4,5,8; Gao, Shuang4,5,6,8; Xing, Ying9; Lin, Dongdong2; Salman, Mustafa2,3; Abrol, Anees2; Rahaman, Md Abdur2; Chen, Jiayu2
刊名NEUROIMAGE-CLINICAL
出版日期2020
卷号28页码:19
ISSN号2213-1582
关键词fMRI Independent component analysis Brain disorders Reproducible and comparable biomarkers NeuroMark
DOI10.1016/j.nicl.2020.102375
通讯作者Du, Yuhui()
英文摘要Many mental illnesses share overlapping or similar clinical symptoms, confounding the diagnosis. It is important to systematically characterize the degree to which unique and similar changing patterns are reflective of brain disorders. Increasing sharing initiatives on neuroimaging data have provided unprecedented opportunities to study brain disorders. However, it is still an open question on replicating and translating findings across studies. Standardized approaches for capturing reproducible and comparable imaging markers are greatly needed. Here, we propose a pipeline based on the priori-driven independent component analysis, NeuroMark, which is capable of estimating brain functional network measures from functional magnetic resonance imaging (fMRI) data that can be used to link brain network abnormalities among different datasets, studies, and disorders. NeuroMark automatically estimates features adaptable to each individual subject and comparable across datasets/studies/disorders by taking advantage of the reliable brain network templates extracted from 1828 healthy controls as guidance. Four studies including 2442 subjects were conducted spanning six brain disorders (schizophrenia, autism spectrum disorder, mild cognitive impairment, Alzheimer's disease, bipolar disorder, and major depressive disorder) to evaluate validity of the proposed pipeline from different perspectives (replication of brain abnormalities, cross-study comparison, identification of subtle brain changes, and multi-disorder classification using identified biomarkers). Our results highlight that NeuroMark effectively identified replicated brain network abnormalities of schizophrenia across different datasets; revealed interesting neural clues on the overlap and specificity between autism and schizophrenia; demonstrated brain functional impairments present to varying degrees in mild cognitive impairments and Alzheimer's disease; and captured biomarkers that achieved good performance in classifying bipolar disorder and major depressive disorder.
WOS关键词DYNAMIC FUNCTIONAL CONNECTIVITY ; DEFAULT MODE NETWORK ; INDEPENDENT COMPONENT ANALYSIS ; COGNITIVE DYSMETRIA ; BIPOLAR DISORDER ; SINGLE-SUBJECT ; SCHIZOPHRENIA ; AUTISM ; MRI ; CLASSIFICATION
资助项目National Natural Science Foundation of China[61703253] ; National Natural Science Foundation of China[61773380] ; National Institutes of Health[5P20RR021938/P20GM103472] ; National Institutes of Health[R01 EB020407] ; National Science Foundation[1539067] ; 1331 Engineering Project of Shanxi Province, China ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant)[U01 AG024904] ; DOD ADNI (Department of Defense award)[W81XWH-12-2-0012] ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; AbbVie ; Alzheimer's Association ; Alzheimer's Drug Discovery Foundation ; Araclon Biotech ; BioClinica, Inc. ; Biogen ; Bristol-Myers Squibb Company ; CereSpir, Inc. ; Cogstate ; Eisai Inc. ; Elan Pharmaceuticals, Inc. ; Eli Lilly and Company ; EuroImmun ; F. Hoffmann-La Roche Ltd ; company Genentech, Inc. ; Fujirebio ; GE Healthcare ; IXICO Ltd. ; Janssen Alzheimer Immunotherapy Research & Development, LLC. ; Johnson & Johnson Pharmaceutical Research & Development LLC. ; Lumosity ; Lundbeck ; Merck Co., Inc. ; Meso Scale Diagnostics, LLC. ; NeuroRx Research ; Neurotrack Technologies ; Novartis Pharmaceuticals Corporation ; Pfizer Inc. ; Piramal Imaging ; Servier ; Takeda Pharmaceutical Company ; Transition Therapeutics ; Canadian Institutes of Health Research
WOS研究方向Neurosciences & Neurology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000600619100018
资助机构National Natural Science Foundation of China ; National Institutes of Health ; National Science Foundation ; 1331 Engineering Project of Shanxi Province, China ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant) ; DOD ADNI (Department of Defense award) ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; AbbVie ; Alzheimer's Association ; Alzheimer's Drug Discovery Foundation ; Araclon Biotech ; BioClinica, Inc. ; Biogen ; Bristol-Myers Squibb Company ; CereSpir, Inc. ; Cogstate ; Eisai Inc. ; Elan Pharmaceuticals, Inc. ; Eli Lilly and Company ; EuroImmun ; F. Hoffmann-La Roche Ltd ; company Genentech, Inc. ; Fujirebio ; GE Healthcare ; IXICO Ltd. ; Janssen Alzheimer Immunotherapy Research & Development, LLC. ; Johnson & Johnson Pharmaceutical Research & Development LLC. ; Lumosity ; Lundbeck ; Merck Co., Inc. ; Meso Scale Diagnostics, LLC. ; NeuroRx Research ; Neurotrack Technologies ; Novartis Pharmaceuticals Corporation ; Pfizer Inc. ; Piramal Imaging ; Servier ; Takeda Pharmaceutical Company ; Transition Therapeutics ; Canadian Institutes of Health Research
源URL[http://ir.ia.ac.cn/handle/173211/42553]  
专题自动化研究所_脑网络组研究中心
通讯作者Du, Yuhui
作者单位1.London Hlth Sci Ctr, Lawson Hlth Res Inst, London, ON, Canada
2.Emory Univ, Georgia Inst Technol, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30322 USA
3.Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Beijing, Peoples R China
6.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Peoples R China
7.Univ Maryland, Ctr Brain Imaging Res, Baltimore, MD 21201 USA
8.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
9.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Peoples R China
推荐引用方式
GB/T 7714		 Du, Yuhui,Fu, Zening,Sui, Jing,et al. NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders[J]. NEUROIMAGE-CLINICAL,2020,28:19.
APA Du, Yuhui.,Fu, Zening.,Sui, Jing.,Gao, Shuang.,Xing, Ying.,...&Calhoun, Vince D..(2020).NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders.NEUROIMAGE-CLINICAL,28,19.
MLA Du, Yuhui,et al."NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders".NEUROIMAGE-CLINICAL 28(2020):19.

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来源：自动化研究所

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