Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28925
Title: Ordinal pattern based complexity analysis for EEG activity evoked by manual acupuncture in healthy subjects
Authors: Yi, G
Wang, J
Tsang, KM 
Chan, WL 
Wei, X
Deng, B
Han, C
Keywords: Complexity
EEG
Manual acupuncture
Order index
Permutation entropy
Issue Date: 2014
Publisher: World Scientific
Source: International journal of bifurcation and chaos in applied sciences and engineering, 2014, v. 24, no. 2, 1450018 How to cite?
Journal: International journal of bifurcation and chaos in applied sciences and engineering 
Abstract: Manual acupuncture (MA) is widely used in Traditional Chinese Medicine clinic for pain treatment and controlling stress. To investigate how MA modulates brain activities, electroencephalograph (EEG) signals are recorded with 20 channels by MA at ST36 of right leg in 11 healthy subjects during rest. Two novel nonlinear measures based on ordinal patterns of EEG series, i.e. permutation entropy (PE) and order index (OI), are adopted to investigate the nonlinear complexity characteristic in EEG data at different acupuncture states. It is observed that the recorded EEG series during and after MA have higher PE values and lower OI values compared to before MA. The results show that MA at ST36 can increase EEG complexity, which is especially obvious during MA. Our findings suggest that the PE and OI measures are promising methods to reveal EEG dynamical changes associated with MA stimulus, which could provide a potential for further exploring the interactions between acupuncture and brain activity. Moreover, these preliminary conclusions highlight the beneficial modulations of brain activity by MA, which could contribute to understanding the acupuncture effects on brain, as well as the neurophysiological mechanisms underlying MA.
URI: http://hdl.handle.net/10397/28925
ISSN: 0218-1274
EISSN: 1793-6551
DOI: 10.1142/S0218127414500187
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