CASIA OpenIR  > 脑网络组研究
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
Zhao, Kun1,2; Zheng, Qiang3; Dyrba, Martin4; Rittman, Timothy5; Li, Ang6; Che, Tongtong1; Chen, Pindong7,8,9; Sun, Yuqing7,8,9; Kang, Xiaopeng7,8,9; Li, Qiongling10; Liu, Bing10; Liu, Yong2,7,8; Li, Shuyu1,10
Source PublicationADVANCED SCIENCE
2022-01-31
Pages13
Corresponding AuthorLiu, Yong(yongliu@bupt.edu.cn) ; Li, Shuyu(shuyuli@bnuaa.edu.cn)
AbstractIndividuals 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.
Keywordmild cognitive impairment progression regional radiomics similarity network subtypes
DOI10.1002/advs.202104538
WOS KeywordALZHEIMERS-DISEASE ; CORTICAL ATROPHY ; DEMENTIA ; MRI ; MCI ; HETEROGENEITY ; PROGRESSION ; EXTRACTION ; BIOMARKERS ; MICROGLIA
Indexed BySCI
Language英语
Funding ProjectFundamental 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
Funding OrganizationFundamental 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 Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science
WOS SubjectChemistry, Multidisciplinary ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS IDWOS:000748511200001
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47386
Collection脑网络组研究
Corresponding AuthorLiu, Yong; Li, Shuyu
Affiliation1.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
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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