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| Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer's Disease | |
Liu, Yong1,2 ; Yu, Chunshui3; Zhang, Xinqing4; Liu, Jieqiong4; Duan, Yunyun5; Alexander-Bloch, Aaron F.2; Liu, Bing1; Jiang, Tianzi1,6,7; Bullmore, Edward T.2,8
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| 发表期刊 | CEREBRAL CORTEX
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| 2014-06-01 | |
| 卷号 | 24期号:6页码:1422-1435 |
| 文章类型 | Article |
| 摘要 | Alzheimer's disease (AD) is increasingly recognized as a disconnection syndrome, which leads to cognitive impairment due to the disruption of functional activity across large networks or systems of interconnected brain regions. We explored abnormal functional magnetic resonance imaging (fMRI) resting-state dynamics, functional connectivity, and weighted functional networks, in a sample of patients with severe AD (N = 18) and age-matched healthy volunteers (N = 21). We found that patients had reduced amplitude and regional homogeneity of low-frequency fMRI oscillations, and reduced the strength of functional connectivity, in several regions previously described as components of the default mode network, for example, medial posterior parietal cortex and dorsal medial prefrontal cortex. In patients with severe AD, functional connectivity was particularly attenuated between regions that were separated by a greater physical distance; and loss of long distance connectivity was associated with less efficient global and nodal network topology. This profile of functional abnormality in severe AD was consistent with the results of a comparable analysis of data on 2 additional groups of patients with mild AD (N = 17) and amnestic mild cognitive impairment (MCI; N = 18). A greater degree of cognitive impairment, measured by the mini-mental state examination across all patient groups, was correlated with greater attenuation of functional connectivity, particularly over long connection distances, for example, between anterior and posterior components of the default mode network, and greater reduction of global and nodal network efficiency. These results indicate that neurodegenerative disruption of fMRI oscillations and connectivity in AD affects long-distance connections to hub nodes, with the consequent loss of network efficiency. This profile was evident also to a lesser degree in the patients with less severe cognitive impairment, indicating that the potential of resting-state fMRI measures as biomarkers or predictors of disease progression in AD. |
| 关键词 | Alzheimer's Disease Disconnection Distance Functional Connectivity Weighted Brain Networks |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 关键词[WOS] | MILD COGNITIVE IMPAIRMENT ; RESTING-STATE FMRI ; DEFAULT-MODE NETWORK ; GRAPH-THEORETICAL ANALYSIS ; SMALL-WORLD NETWORKS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; REGIONAL HOMOGENEITY ; NATIONAL INSTITUTE ; CEREBRAL-CORTEX |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Neurosciences & Neurology |
| WOS类目 | Neurosciences |
| WOS记录号 | WOS:000336529700002 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/3143 |
| 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, Natl Lab Pattern Recognit, LIAMA Ctr Computat Med, Beijing 100190, Peoples R China 2.Univ Cambridge, Dept Psychiat, Brain Mapping Unit, Cambridge CB2 3EB, England 3.Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin 300052, Peoples R China 4.Capital Med Univ, Dept Neurol, Xuanwu Hosp, Beijing 100053, Peoples R China 5.Capital Med Univ, Dept Radiol, Xuanwu Hosp, Beijing 100053, Peoples R China 6.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu 610054, Peoples R China 7.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia 8.Addenbrookes Hosp, GlaxoSmithKline, Clin Unit Cambridge, Cambridge CB2 0SZ, England |
| 第一作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Liu, Yong,Yu, Chunshui,Zhang, Xinqing,et al. Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer's Disease[J]. CEREBRAL CORTEX,2014,24(6):1422-1435. |
| APA | Liu, Yong.,Yu, Chunshui.,Zhang, Xinqing.,Liu, Jieqiong.,Duan, Yunyun.,...&Bullmore, Edward T..(2014).Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer's Disease.CEREBRAL CORTEX,24(6),1422-1435. |
| MLA | Liu, Yong,et al."Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer's Disease".CEREBRAL CORTEX 24.6(2014):1422-1435. |
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