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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
发表期刊BIOLOGICAL PSYCHIATRY
ISSN0006-3223
2023-05-01
卷号93期号:9页码:759-769
通讯作者Zhou, Bo(zhoubo@301hospital.com.cn) ; Liu, Yong(yongliu@bupt.edu.cn)
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.
DOI10.1016/j.biopsych.2022.06.019
关键词[WOS]TAU PET PATTERNS ; FUNCTIONAL CONNECTIVITY ; CORTICAL THICKNESS ; DEFINED SUBTYPES ; CLINICAL CHARACTERISTICS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; CEREBROSPINAL-FLUID ; NATIONAL INSTITUTE ; BRAIN ATROPHY
收录类别SCI
语种英语
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
项目资助者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
WOS研究方向Neurosciences & Neurology ; Psychiatry
WOS类目Neurosciences ; Psychiatry
WOS记录号WOS:000982090400001
出版者ELSEVIER SCIENCE INC
引用统计
被引频次:19[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/173211/53427
专题脑图谱与类脑智能实验室_脑网络组研究
通讯作者Zhou, Bo; Liu, Yong
作者单位1.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
第一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
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
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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