CASIA OpenIR  > 脑图谱与类脑智能实验室  > 脑网络组研究
Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers
Chen, Pindong1,2,3; Yao, Hongxiang4; Tijms, Betty M.19; Wang, Pan13; Wang, Dawei16; Song, Chengyuan17; Yang, Hongwei6; Zhang, Zengqiang18; Zhao, Kun8; Qu, Yida1,2,3; Kang, Xiaopeng1,2,3; Du, Kai1,2,3; Fan, Lingzhong1,2; Han, Tong14; Yu, Chunshui15; Zhang, Xi5; Jiang, Tianzi1,2,3; Zhou, Yuying13; Lu, Jie6; Han, Ying7,9,10; Liu, Bing11; Zhou, Bo5; Liu, Yong1,2,3,12
Source PublicationBIOLOGICAL PSYCHIATRY
ISSN0006-3223
2023-05-01
Volume93Issue:9Pages:759-769
Corresponding AuthorZhou, Bo(zhoubo@301hospital.com.cn) ; Liu, Yong(yongliu@bupt.edu.cn)
AbstractBACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder with significant heterogeneity. Different AD phenotypes may be associated with specific brain network changes. Uncovering disease heterogeneity by using functional networks could provide insights into precise diagnoses. METHODS: We investigated the subtypes of AD using nonnegative matrix factorization clustering on the previously identified 216 resting-state functional connectivities that differed between AD and normal control subjects. We conducted the analysis using a discovery dataset (n = 809) and a validated dataset (n = 291). Next, we grouped individuals with mild cognitive impairment according to the model obtained in the AD groups. Finally, the clinical measures and brain structural characteristics were compared among the subtypes to assess their relationship with differences in the functional network. RESULTS: Individuals with AD were clustered into 4 subtypes reproducibly, which included those with 1) diffuse and mild functional connectivity disruption (subtype 1), 2) predominantly decreased connectivity in the default mode network accompanied by an increase in the prefrontal circuit (subtype 2), 3) predominantly decreased connectivity in the anterior cingulate cortex accompanied by an increase in prefrontal cortex connectivity (subtype 3), and 4) pre-dominantly decreased connectivity in the basal ganglia accompanied by an increase in prefrontal cortex connectivity (subtype 4). In addition to these differences in functional connectivity, differences between the AD subtypes were found in cognition, structural measures, and cognitive decline patterns. CONCLUSIONS: These comprehensive results offer new insights that may advance precision medicine for AD and facilitate strategies for future clinical trials.
DOI10.1016/j.biopsych.2022.06.019
WOS KeywordTAU PET PATTERNS ; FUNCTIONAL CONNECTIVITY ; CORTICAL THICKNESS ; DEFINED SUBTYPES ; CLINICAL CHARACTERISTICS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; CEREBROSPINAL-FLUID ; NATIONAL INSTITUTE ; BRAIN ATROPHY
Indexed BySCI
Language英语
Funding ProjectFundamental Research Funds for the Central Universities[2021XD-A03-1] ; Beijing Natural Science Funds for Distinguished Young Scholars[JQ20036] ; National Natural Science Foundation of China[81571062] ; National Natural Science Foundation of China[81400890] ; National Natural Science Foundation of China[81471120] ; National Natural Science Foundation of China[W81XWH-12-2-0012] ; Special Fund for Military Health committee[81901101] ; ADNI (National Institutes of Health)[61633018] ; DOD ADNI~ (Department of Defense) ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; DNI clinical sites in Canada
Funding OrganizationFundamental Research Funds for the Central Universities ; Beijing Natural Science Funds for Distinguished Young Scholars ; National Natural Science Foundation of China ; Special Fund for Military Health committee ; ADNI (National Institutes of Health) ; DOD ADNI~ (Department of Defense) ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; DNI clinical sites in Canada
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectNeurosciences ; Psychiatry
WOS IDWOS:000982090400001
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/53427
Collection脑图谱与类脑智能实验室_脑网络组研究
Corresponding AuthorZhou, Bo; Liu, Yong
Affiliation1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Radiol, Beijing, Peoples R China
5.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Neurol, Beijing, Peoples R China
6.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
7.Capital Med Univ, Dept Neurol, Xuanwu Hosp, Beijing, Peoples R China
8.Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Sch Biol Sci & Med Engn, Beijing, Peoples R China
9.Beijing Inst Geriatr, Beijing, Peoples R China
10.Natl Clin Res Ctr Geriatr Disorders, Beijing, Peoples R China
11.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
12.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing, Peoples R China
13.Tianjin Univ, Tianjin Huanhu Hosp, Dept Neurol, Tianjin, Peoples R China
14.Tianjin Univ, Tianjin Huanhu Hosp, Dept Radiol, Tianjin, Peoples R China
15.Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin, Peoples R China
16.Shandong Univ, Dept Radiol, Qilu Hosp, Jinan, Peoples R China
17.Shandong Univ, Qilu Hosp, Dept Neurol, Jinan, Peoples R China
18.Branch Chinese PLA Gen Hosp, Sanya, Peoples R China
19.Vrije Univ Amsterdam, Alzheimer Ctr Amsterdam, Amsterdam Neurosci, Amsterdam UMC,Locat VUmc,Dept Neurol, Amsterdam, Netherlands
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, 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
Chen, Pindong,Yao, Hongxiang,Tijms, Betty M.,et al. Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers[J]. BIOLOGICAL PSYCHIATRY,2023,93(9):759-769.
APA Chen, Pindong.,Yao, Hongxiang.,Tijms, Betty M..,Wang, Pan.,Wang, Dawei.,...&Liu, Yong.(2023).Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers.BIOLOGICAL PSYCHIATRY,93(9),759-769.
MLA Chen, Pindong,et al."Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers".BIOLOGICAL PSYCHIATRY 93.9(2023):759-769.
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