EEG-based functional networks evoked by acupuncture at ST 36: A data-driven thresholding study

被引:6
|
作者
Li, Huiyan [1 ]
Wang, Jiang [2 ]
Yi, Guosheng [2 ]
Deng, Bin [2 ]
Zhou, Hexi [2 ]
机构
[1] Tianjin Univ Technol & Educ, Sch Automat & Elect Engn, Tianjin 300222, Peoples R China
[2] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
来源
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Functional network; data-driven threshold; acupuncture; EEG; connectivity; PARKINSONS-DISEASE;
D O I
10.1142/S0217979217501879
中图分类号
O59 [应用物理学];
学科分类号
摘要
This paper investigates how acupuncture at ST 36 modulates the brain functional network. 20 channel EEG signals from 15 healthy subjects are respectively recorded before, during and after acupuncture. The correlation between two EEG channels is calculated by using Pearson's coefficient. A data-driven approach is applied to determine the threshold, which is performed by considering the connected set, connected edge and network connectivity. Based on such thresholding approach, the functional network in each acupuncture period is built with graph theory, and the associated functional connectivity is determined. We show that acupuncturing at ST 36 increases the connectivity of the EEG-based functional network, especially for the long distance ones between two hemispheres. The properties of the functional network in five EEG sub-bands are also characterized. It is found that the delta and gamma bands are affected more obviously by acupuncture than the other sub-bands. These findings highlight the modulatory effects of acupuncture on the EEG-based functional connectivity, which is helpful for us to understand how it participates in the cortical or subcortical activities. Further, the data driven threshold provides an alternative approach to infer the functional connectivity under other physiological conditions.
引用
收藏
页数:12
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