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Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers

文献类型：期刊论文

作者Chen, Pindong2,3,4; Yao, Hongxiang5; Tijms, Betty M.19; Wang, Pan14; Wang, Dawei16; Song, Chengyuan17; Yang, Hongwei7; Zhang, Zengqiang18; Zhao, Kun9; Qu, Yida2,3,4
刊名BIOLOGICAL PSYCHIATRY
出版日期2023-05-01
卷号93期号:9页码:759-769
ISSN号0006-3223
DOI10.1016/j.biopsych.2022.06.019
通讯作者Zhou, Bo(zhoubo@301hospital.com.cn) ; Liu, Yong(yongliu@bupt.edu.cn)
英文摘要BACKGROUND: 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.
WOS关键词TAU PET PATTERNS ; FUNCTIONAL CONNECTIVITY ; CORTICAL THICKNESS ; DEFINED SUBTYPES ; CLINICAL CHARACTERISTICS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; CEREBROSPINAL-FLUID ; NATIONAL INSTITUTE ; BRAIN ATROPHY
资助项目Fundamental 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
WOS研究方向Neurosciences & Neurology ; Psychiatry
语种英语
WOS记录号WOS:000982090400001
出版者ELSEVIER SCIENCE INC
资助机构Fundamental 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
源URL[http://ir.ia.ac.cn/handle/173211/53426]  
专题自动化研究所_脑网络组研究中心
通讯作者Zhou, Bo; Liu, Yong
作者单位1.Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin, Peoples R China
2.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
5.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Radiol, Beijing, Peoples R China
6.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Neurol, Beijing, Peoples R China
7.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
8.Capital Med Univ, Dept Neurol, Xuanwu Hosp, Beijing, Peoples R China
9.Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Sch Biol Sci & Med Engn, Beijing, Peoples R China
10.Beijing Inst Geriatr, Beijing, Peoples R China
推荐引用方式
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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来源：自动化研究所

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