Knowledge Commons of Institute of Automation,CAS
Four Distinct Subtypes of Alzheimer's Disease Based on Resting-State Connectivity Biomarkers | |
Chen, Pindong1,2; Yao, Hongxiang3; Tijms, Betty M.4; Wang, Pan5; Wang, Dawei6; Song, Chengyuan7; Yang, Hongwei8; Zhang, Zengqiang9; Zhao, Kun10; Qu, Yida1,2; Kang, Xiaopeng1,2; Du, Kai1,2; Fan, Lingzhong1; Han, Tong11; Yu, Chunshui12; Zhang, Xi13; Jiang, Tianzi1,2; Zhou, Yuying5; Lu, Jie8; Han, Ying14,15,16; Liu, Bing17; Zhou, Bo13; Liu, Yong1,2,18 | |
发表期刊 | BIOLOGICAL PSYCHIATRY |
ISSN | 0006-3223 |
2023-05-01 | |
卷号 | 93期号:9页码:759-769 |
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. |
DOI | 10.1016/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 |
七大方向——子方向分类 | 脑网络分析 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
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.Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.Department of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China 4.Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC - Location VUmc, The Netherlands 5.Department of Neurology, Tianjin Huanhu Hospital Tianjin University, Tianjin, China 6.Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, China 7.Department of Neurology, Qilu Hospital of Shandong University, Ji'nan, China 8.Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China 9.Branch of Chinese PLA General Hospital, Sanya, China 10.Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China 11.Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China 12.Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China 13.Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China 14.Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China 15.Beijing Institute of Geriatrics, Beijing, China 16.National Clinical Research Center for Geriatric Disorders, Beijing, China 17.State Key Laboratory of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China 18.School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China 19.Vrije Univ Amsterdam, Alzheimer Ctr Amsterdam, Amsterdam Neurosci, Amsterdam UMC,Locat VUmc,Dept Neurol, Amsterdam, Netherlands |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 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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