Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study | |
Sui, Xiuchao1,2; Zhu, Maohu1,2; Cui, Yue1,2; Yu, Chunshui3,4; Sui, Jing1,2,5; Zhang, Xinqing6; Liu, Jieqiong6; Duan, Yunyun4; Zhang, Zengqiang7,8; Wang, Luning7; Zhang, Xi7; Jiang, Tianzi1,2,9,10 | |
发表期刊 | CURRENT ALZHEIMER RESEARCH |
2015 | |
卷号 | 12期号:10页码:974-983 |
文章类型 | Article |
摘要 | Cortical hubs that link functionally specialized neural systems are crucial for cognition. Evidence suggests that the location and organization of hubs are related to Alzheimer's disease (AD). However, two issues remain unclear: (i) where and how hubs change in AD, and (ii) whether hubs could be a potential pre-diagnosis biomarker for mild cognitive impairment (MCI) - a prodromal phase of AD. Accordingly, we examined the functional connectivity density (FCD) in two cohorts of resting-state functional magnetic resonance imaging (fMRI) scans (26 AD, 27 controls; 33 AD, 21 controls) and revealed consistently vulnerable FCD hub regions in AD compared with controls: within the default mode network, short-range FCD decreases in the posterior cingulate cortex and increases in the medial prefrontal cortex; within the frontal lobe, long-range FCD increases in the medial prefrontal cortex, superior frontal gyrus and middle frontal gyrus. Furthermore, FCD correlates with cognitive score and could distinguish MCI from controls with high accuracy (71.08% in dataset 1, 81% in dataset 2). By reflecting a robust and reproducible global shift in brain functions, FCD provides an fMRI biomarker for the underlying mechanism in AD. |
关键词 | Alzheimer's Disease Biomarker Classification Functional Connectivity Density Mild Cognitive Impairment Resting State Functional Mri |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
DOI | 10.2174/1567205012666150710111615 |
关键词[WOS] | MILD COGNITIVE IMPAIRMENT ; POSITRON-EMISSION-TOMOGRAPHY ; DEFAULT-MODE NETWORK ; RESTING-STATE FMRI ; BRAIN NETWORKS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE ; CORTICAL NETWORKS ; CEREBRAL-CORTEX |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Key Basic Research, Development Program of China (973 program)(2011CB707800) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB020-30300) ; Natural Science Foundation of China(91132301) |
WOS研究方向 | Neurosciences & Neurology |
WOS类目 | Clinical Neurology ; Neurosciences |
WOS记录号 | WOS:000366135300007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/10528 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Tianjin Med Univ, Gen Hosp, Dept Radiol, Tianjin 300052, Peoples R China 4.Capital Med Univ, Xuanwu Hosp, Dept Neurol, Beijing 100053, Peoples R China 5.Mind Res Network, Albuquerque, NM 87106 USA 6.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China 7.Chinese Peoples Liberat Army Gen Hosp, Inst Gerontol & Geriatr, Dept Neurol, Beijing 100853, Peoples R China 8.Chinese Peoples Liberat Army Gen Hosp, Hainan Branch, Sanya 572014, Peoples R China 9.Univ Elect Sci & Technol China, Minist Educ, Sch Life Sci & Technol, Key Lab Neuro Informat, Chengdu 610054, Peoples R China 10.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia |
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 |
推荐引用方式 GB/T 7714 | Sui, Xiuchao,Zhu, Maohu,Cui, Yue,et al. Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study[J]. CURRENT ALZHEIMER RESEARCH,2015,12(10):974-983. |
APA | Sui, Xiuchao.,Zhu, Maohu.,Cui, Yue.,Yu, Chunshui.,Sui, Jing.,...&Jiang, Tianzi.(2015).Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study.CURRENT ALZHEIMER RESEARCH,12(10),974-983. |
MLA | Sui, Xiuchao,et al."Functional Connectivity Hubs Could Serve as a Potential Biomarker in Alzheimer's Disease: A Reproducible Study".CURRENT ALZHEIMER RESEARCH 12.10(2015):974-983. |
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