Send to

Choose Destination
Cogn Neurodyn. 2013 Feb;7(1):79-88. doi: 10.1007/s11571-012-9221-1. Epub 2012 Sep 26.

Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects.

Author information

School of Electrical and Automation Engineering, Tianjin University, No. 92 Weijin Road, Tianjin, 300072 China.
No. 707 Research Institute, China Shipbuilding Industry Corporation, Tianjin, 300131 China.
School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, 300222 China.


To explore the effects of manual acupuncture (MA) on brain activities, we design an experiment that acupuncture at acupoint ST36 of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Many studies have demonstrated that the complexity of EEG can reflect the states of brain function, so we propose to adopt order recurrence quantification analysis combined with discrete wavelet transform, to analyze the dynamical characteristics of different EEG rhythms under acupuncture, further to explore the effects of MA on the complexity of brain activities from multi-scale point of view. By analyzing the complexity of five EEG rhythms, it is found that the complexity of delta rhythm during acupuncture is lower than before acupuncture, and for alpha rhythm that is higher, but for beta, theta and gamma rhythms there are no obvious changes. All of those effects are especially obvious during acupuncture with frequency of 200 times/min. Furthermore, the determinism extracted from delta, alpha and gamma rhythms can be regarded as a characteristic parameter to distinguish the state acupuncture at 200 times/min and the state before acupuncture. These results can provide a theoretical support for selecting appropriate acupuncture frequency for patients in clinical, and the proposed methods have the potential of exploring the effects of acupuncture on brain activities.


Complexity; EEG; Manual acupuncture; ORQA; ST36

Supplemental Content

Full text links

Icon for Springer Icon for PubMed Central
Loading ...
Support Center