Network-Based Statistic Show Aberrant Functional Connectivity in Alzheimer's Disease

Network-Based Statistic Show Aberrant Functional Connectivity in Alzheimer's Disease
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基于网络的统计显示阿尔茨海默病的功能连接异常

DOI:
10.1109/jstsp.2016.2600298
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发表时间:
2016-08
影响因子:
7.5
通讯作者:
Liu Yong
Liu Yong
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhan Yangfeng;Yao Hongxiaong;Wang Pan;Zhou Bo;Zhang Zengqiang;Guo Yan'e;An Ningyu;Ma Jianhua;Zhang Xi;Liu Yong

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Alzheimer's disease (AD) and mild cognitive impairment (MCI) have been associated with impaired communication among large-scale brain networks. Given nature that interconnected subnetworks are responsible for daily behavior than a single pair of functional connectivity, it is valid to use a network-based statistic (NBS) method to exploit the clustering structure of connectivity alterations in AD/MCI. We explored abnormal network components using NBS based on resting-state functional magnetic resonance imaging (fMRI)connectivity in a sample of patients with AD (N = 35), MCI (N = 27) and age-matched healthy subjects (N = 27). The results demonstrated that patients had reduced functional connectivity strength in several components, including the default mode network, sensorimotor network, visual-sensory network, and visual-attention network. In patients with AD, the functional connectivity of these components of interest (COIs) exhibited greater attenuation than that in MCI subjects compared with normal cognition. A greater degree of cognitive impairment was correlated with a greater decrease in functional connectivity in the identified COIs. These results indicate that the neurodegenerative disruption of fMRI connectivity is widely distributed in several networks in AD/MCI. These profiles deepen our understanding of the neural basis of AD/MCI dysfunction and indicate the potential of resting-state fMRI measures as biomarkers or predictors of AD.
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影响因子: 3.3
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阿尔茨海默病中的长距离功能连接和加权网络架构受损。
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发表时间: 2014-06-01
期刊: CEREBRAL CORTEX
影响因子: 3.7
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发表时间: 2004-03-30
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