Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

doi:10.1002/advs.202104538

	Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
	Zhao, Kun1,2 ; Zheng, Qiang 3; Dyrba, Martin 4; Rittman, Timothy 5; Li, Ang6 ; Che, Tongtong 1; Chen, Pindong7,8,9 ; Sun, Yuqing7,8,9 ; Kang, Xiaopeng 7,8,9; Li, Qiongling 10; Liu, Bing10 ; Liu, Yong2,7,8 ; Li, Shuyu 1,10
发表期刊	ADVANCED SCIENCE
	2022-01-31
页码	13
通讯作者	Liu, Yong(yongliu@bupt.edu.cn) ; Li, Shuyu(shuyuli@bnuaa.edu.cn)
摘要	Individuals with mild cognitive impairment (MCI) of different subtypes show distinct alterations in network patterns. The first aim of this study is to identify the subtypes of MCI by employing a regional radiomics similarity network (R2SN). The second aim is to characterize the abnormality patterns associated with the clinical manifestations of each subtype. An individual-level R2SN is constructed for N = 605 normal controls (NCs), N = 766 MCI patients, and N = 283 Alzheimer's disease (AD) patients. MCI patients' R2SN profiles are clustered into two subtypes using nonnegative matrix factorization. The patterns of brain alterations, gene expression, and the risk of cognitive decline in each subtype are evaluated. MCI patients are clustered into "similar to the pattern of NCs" (N-CI, N = 252) and "similar to the pattern of AD" (A-CI, N = 514) subgroups. Significant differences are observed between the subtypes with respect to the following: 1) clinical measures; 2) multimodal neuroimaging; 3) the proportion of progression to dementia (61.54% for A-CI and 21.77% for N-CI) within three years; 4) enriched genes for potassium-ion transport and synaptic transmission. Stratification into the two subtypes provides new insight for risk assessment and precise early intervention for MCI patients.
关键词	mild cognitive impairment progression regional radiomics similarity network subtypes
DOI	10.1002/advs.202104538
关键词[WOS]	ALZHEIMERS-DISEASE ; CORTICAL ATROPHY ; DEMENTIA ; MRI ; MCI ; HETEROGENEITY ; PROGRESSION ; EXTRACTION ; BIOMARKERS ; MICROGLIA
收录类别	SCI
语种	英语
资助项目	Fundamental Research Funds for the Central Universities[2021XD-A03-1] ; Startup Funds for Leading Talents at Beijing Normal University ; National Natural Science Foundation of China[81972160] ; National Natural Science Foundation of China[81871438] ; National Natural Science Foundation of China[82172018] ; National Natural Science Foundation of China[61802330] ; Beijing Natural Science Funds for Distinguished Young Scholar[JQ20036] ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health)[U01 AG024904] ; DOD ADNI (Department of Defense)[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. ; 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
项目资助者	Fundamental Research Funds for the Central Universities ; Startup Funds for Leading Talents at Beijing Normal University ; National Natural Science Foundation of China ; Beijing Natural Science Funds for Distinguished Young Scholar ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) ; DOD ADNI (Department of Defense) ; 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. ; 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	Chemistry ; Science & Technology - Other Topics ; Materials Science
WOS类目	Chemistry, Multidisciplinary ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS记录号	WOS:000748511200001
出版者	WILEY
七大方向——子方向分类	人工智能+医疗
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47386
专题	脑图谱与类脑智能实验室_脑网络组研究
通讯作者	Liu, Yong; Li, Shuyu
作者单位	1.Beihang Univ, Sch Biol Sci & Med Engn, Beijing Adv Innovat Ctr Biomed Engn, Beijing 100191, Peoples R China 2.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China 3.Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China 4.German Ctr Neurodegenerat Dis DZNE, D-18147 Rostock, Germany 5.Univ Cambridge, Dept Clin Neurosci, Cambridge Biomed Campus, Cambridge CB2 0SZ, England 6.Chinese Acad Sci, State Key Lab Brain & Cognit Sci, Inst Biophys, Beijing 100101, Peoples R China 7.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 8.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 9.Chinese Acad Sci, Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 10.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
通讯作者单位	中国科学院自动化研究所; 模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhao, Kun,Zheng, Qiang,Dyrba, Martin,et al. Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment[J]. ADVANCED SCIENCE,2022:13.
APA	Zhao, Kun.,Zheng, Qiang.,Dyrba, Martin.,Rittman, Timothy.,Li, Ang.,...&Li, Shuyu.(2022).Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment.ADVANCED SCIENCE,13.
MLA	Zhao, Kun,et al."Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment".ADVANCED SCIENCE (2022):13.