Nonlinear causality analysis of EEG signals evoked by manual acupuncture

Chunxiao Han; Jiang Wang; Yanqiu Che; Hongrui Bian; Bin Deng; Xile Wei; Hongwei Li

doi:10.1109/ICICIP.2011.6008439

Nonlinear causality analysis of EEG signals evoked by manual acupuncture

Chunxiao Han, Jiang Wang, Yanqiu Che, Hongrui Bian, Bin Deng, Xile Wei, Hongwei Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Manual acupuncture (MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. To explore the effect of MA on the information transformation of the brain, we design an experiment that acupuncture at Zusanli acupoint of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, so we introduce nonlinear Granger causality method to investigate the effect of MA on the causality relationship between different brain regions. It is found that different MA has different effect on the causality relationship between different brain regions, and that acupuncture at right leg acupoint obviously affects the information transformation on contralateral hemisphere.

Original language	English (US)
Title of host publication	Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Pages	1175-1178
Number of pages	4
Edition	PART 2
DOIs	https://doi.org/10.1109/ICICIP.2011.6008439
State	Published - 2011
Event	2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011 - Harbin, China Duration: Jul 25 2011 → Jul 28 2011

Publication series

Name	Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Number	PART 2

Other

Other	2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Country/Territory	China
City	Harbin
Period	7/25/11 → 7/28/11

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems
Control and Systems Engineering

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10.1109/ICICIP.2011.6008439

Cite this

Han, C., Wang, J., Che, Y., Bian, H., Deng, B., Wei, X., & Li, H. (2011). Nonlinear causality analysis of EEG signals evoked by manual acupuncture. In Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011 (PART 2 ed., pp. 1175-1178). Article 6008439 (Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011; No. PART 2). https://doi.org/10.1109/ICICIP.2011.6008439

Han, Chunxiao ; Wang, Jiang ; Che, Yanqiu et al. / Nonlinear causality analysis of EEG signals evoked by manual acupuncture. Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011. PART 2. ed. 2011. pp. 1175-1178 (Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011; PART 2).

@inproceedings{6582d12690154e49a9048b896f8f1f8a,

title = "Nonlinear causality analysis of EEG signals evoked by manual acupuncture",

abstract = "Manual acupuncture (MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. To explore the effect of MA on the information transformation of the brain, we design an experiment that acupuncture at Zusanli acupoint of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, so we introduce nonlinear Granger causality method to investigate the effect of MA on the causality relationship between different brain regions. It is found that different MA has different effect on the causality relationship between different brain regions, and that acupuncture at right leg acupoint obviously affects the information transformation on contralateral hemisphere.",

author = "Chunxiao Han and Jiang Wang and Yanqiu Che and Hongrui Bian and Bin Deng and Xile Wei and Hongwei Li",

year = "2011",

doi = "10.1109/ICICIP.2011.6008439",

language = "English (US)",

isbn = "9781457708145",

series = "Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011",

number = "PART 2",

pages = "1175--1178",

booktitle = "Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011",

edition = "PART 2",

note = "2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011 ; Conference date: 25-07-2011 Through 28-07-2011",

}

Han, C, Wang, J, Che, Y, Bian, H, Deng, B, Wei, X & Li, H 2011, Nonlinear causality analysis of EEG signals evoked by manual acupuncture. in Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011. PART 2 edn, 6008439, Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011, no. PART 2, pp. 1175-1178, 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011, Harbin, China, 7/25/11. https://doi.org/10.1109/ICICIP.2011.6008439

Nonlinear causality analysis of EEG signals evoked by manual acupuncture. / Han, Chunxiao; Wang, Jiang; Che, Yanqiu et al.
Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011. PART 2. ed. 2011. p. 1175-1178 6008439 (Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011; No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Nonlinear causality analysis of EEG signals evoked by manual acupuncture

AU - Han, Chunxiao

AU - Wang, Jiang

AU - Che, Yanqiu

AU - Bian, Hongrui

AU - Deng, Bin

AU - Wei, Xile

AU - Li, Hongwei

PY - 2011

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N2 - Manual acupuncture (MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. To explore the effect of MA on the information transformation of the brain, we design an experiment that acupuncture at Zusanli acupoint of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, so we introduce nonlinear Granger causality method to investigate the effect of MA on the causality relationship between different brain regions. It is found that different MA has different effect on the causality relationship between different brain regions, and that acupuncture at right leg acupoint obviously affects the information transformation on contralateral hemisphere.

AB - Manual acupuncture (MA), as a mechanical action, can be equivalent to an external stimulus to the neural system. To explore the effect of MA on the information transformation of the brain, we design an experiment that acupuncture at Zusanli acupoint of right leg with four different frequencies to obtain electroencephalograph (EEG) signals. Neural system is a complex nonlinear dynamics system that possesses strong nonlinear characteristic, so we introduce nonlinear Granger causality method to investigate the effect of MA on the causality relationship between different brain regions. It is found that different MA has different effect on the causality relationship between different brain regions, and that acupuncture at right leg acupoint obviously affects the information transformation on contralateral hemisphere.

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Han C, Wang J, Che Y, Bian H, Deng B, Wei X et al. Nonlinear causality analysis of EEG signals evoked by manual acupuncture. In Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011. PART 2 ed. 2011. p. 1175-1178. 6008439. (Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011; PART 2). doi: 10.1109/ICICIP.2011.6008439

Nonlinear causality analysis of EEG signals evoked by manual acupuncture

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