WLPVG approach to the analysis of EEG-based functional brain network under manual acupuncture
WLPVG approach to the analysis of EEG-based functional brain network under manual acupuncture
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DOI：
10.1007/s11571-014-9297-x
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发表时间：
2014-06
影响因子：
3.7
通讯作者：
Xin Pei;Jiang Wang;Bin Deng;Xile Wei;Haitao Yu
中科院分区：
文献类型：
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作者：
Xin Pei;Jiang Wang;Bin Deng;Xile Wei;Haitao Yu
功能脑网络是脑功能研究的主要方法之一，它能提供脑区之间的连接信息。在这项研究中，基于脑电信号的功能脑网络的建立和分析，通过一个新的小波有限穿透可见性图（WLPVG）的方法。该方法首先将脑电信号分解为δ、θ、α、β四个子带，然后从单通道信号中提取非线性特征，并为每个子带构造一个脑功能网络。手针作为一种对人体神经系统的刺激，可引起多种脑活动的调节作用。为探讨此现象是否发生及如何发生，本文采用WLPVG方法对15例正常人右下肢ST_（36）穴MA患者的脑电图进行了分析。研究发现，与针刺前的控制状态相比，MA能以不同的方式影响脑电子带的复杂度，使功能脑网络获得更高的效率和更强的小世界特性。
Functional brain network, one of the main methods for brain functional studies, can provide the connectivity information among brain regions. In this research, EEG-based functional brain network is built and analyzed through a new wavelet limited penetrable visibility graph (WLPVG) approach. This approach first decompose EEG into δ, θ, α, β sub-bands, then extracting nonlinear features from single channel signal, in addition forming a functional brain network for each sub-band. Manual acupuncture (MA) as a stimulation to the human nerve system, may evoke varied modulating effects in brain activities. To investigating whether and how this happens, WLPVG approach is used to analyze the EEGs of 15 healthy subjects with MA at acupoint ST36 on the right leg. It is found that MA can influence the complexity of EEG sub-bands in different ways and lead the functional brain networks to obtain higher efficiency and stronger small-world property compared with pre-acupuncture control state.