| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Characteristics analysis of acupuncture electroencephalograph based on mutual information Lempel–Ziv complexity |
| Luo Xi-Liu(罗昔柳)a), Wang Jiang(王江)a)†, Han Chun-Xiao(韩春晓)b), Deng Bin(邓斌)a), Wei Xi-Le(魏熙乐)a), and Bian Hong-Rui(边洪瑞)a) |
a. School of Electrical and Automation Engineering, Tianjin University, Tianjin 300072, China;
b. School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China |
|
|
|
|
Abstract As a convenient approach to the characterization of cerebral cortex electrical information, electroencephalograph (EEG) has potential clinical application in monitoring the acupuncture effects. In this paper, a method composed of the mutual information method and Lempel-Ziv complexity method (MILZC) is proposed to investigate the effects of acupuncture on the complexity of information exchanges between different brain regions based on EEGs. In the experiments, eight subjects are manually acupunctured at ‘Zusanli’acupuncture point (ST-36) with different frequencies (i.e., 50, 100, 150, and 200 times/min) and the EEGs are recorded simultaneously. First, MILZC values are compared in general. Then average brain connections are used to quantify the effectiveness of acupuncture under the above four frequencies. Finally, significance index P values are used to study the spatiality of the acupuncture effect on the brain. Three main findings are obtained: (ⅰ) MILZC values increase during the acupuncture; (ⅱ) manual acupunctures (MAs) with 100 times/min and 150 times/min are more effective than with 50 times/min and 200 times/min; (ⅲ) contralateral hemisphere activation is more prominent than ipsilateral hemisphere's. All these findings suggest that acupuncture contributes to the increase of brain information exchange complexity and the MILZC method can successfully describe these changes.
|
Received: 23 August 2011
Revised: 08 October 2011
Accepted manuscript online:
|
|
PACS:
|
87.19.le
|
(EEG and MEG)
|
| |
87.85.Pq
|
(Biomedical imaging)
|
| |
07.05.Pj
|
(Image processing)
|
|
| Fund: Project supported by the Key Program of the National Natural Science Foundation of China (Grant No. 50537030), the National Natural Science Foundation of China (Grant No. 61072012), and the Young Scientists Fund of the National Natural Science Foundation of China (Grant Nos. 50907044, 61104032, and 60901035). |
Corresponding Authors:
Wang Jiang,jiangwang@tju.edu.cn
E-mail: jiangwang@tju.edu.cn
|
Cite this article:
Luo Xi-Liu(罗昔柳), Wang Jiang(王江), Han Chun-Xiao(韩春晓), Deng Bin(邓斌), Wei Xi-Le(魏熙乐), and Bian Hong-Rui(边洪瑞) Characteristics analysis of acupuncture electroencephalograph based on mutual information Lempel–Ziv complexity 2012 Chin. Phys. B 21 028701
|
| [1] |
Cho Z H, Hwang S C, Wong E K, Son Y D, Kang C K, Park T S, Bai S J, Kim Y B, Lee Y B, Sung K K, Lee B H, Shepp L A and Min K T 2006 Acta Neurologica Scandinavica 113 370
|
| [2] |
Kong J, Ma L, Randy L Gollub, Wei J H, Yang X Z, Li D J, Weng X C, Jia F C, Wang C M, Li F L, Li R W and Zhuang D 2009 Human Brain Mapping 30 38
|
| [3] |
Li G, Liu H L, Cheung Raymond T F, Hung Y C, Wong Kelvin K K, Shen Gary G X, Ma Q Y and Yang Edward S 2003 Human Brain Mapping 18 233
|
| [4] |
Liu W C, Feldman Susan C, Cook Dane B, Hung D L, Xu Teresa, Kalnin Andrew J and Komisaruk Barry R 2004 Neuroreport 15 1937
|
| [5] |
Han C X, Wang J, Che Y Q, Deng B, Guo Y, Guo Y M and Liu Y Y 2010 Acta Phys. Sin. 59 5880 (in Chinese)
|
| [6] |
Wang Y, Zhang A X, Xu W, Chang J K and Han J S 1995 Chin. Sci. Bull. 44 793
|
| [7] |
Gao X R, Xu D F, Cheng M and Gao S K 2003 IEEE Transactions on Neural Systems and Rehabilitation Engineering 11 137
|
| [8] |
Jacobson S and Jerrier H 2000 Semin Clin Neuropsychiatry 5 86
|
| [9] |
Onoe S and Nishigaki T 2004 Brain and Development 26 513
|
| [10] |
Brunovsky M, Matousek M, Edman A, Cervena K and Krajca 2003 Neuropsychobiology 48 19
|
| [11] |
Koenig T, Prichep L, Dierks T, Hubl D, Wahlund L O, John E R and Jelic V 2005 Neurobiology of Aging 26 165
|
| [12] |
Babiloni C, Binetti G, Cassetta E, Forno G D, Percio C D, Ferreri F, Ferri R, Frisoni G, Hirata K, Lanuzza B, Miniussi C, Moretti D V, Nobili F, Rodriguez G, Romani G L, Salinari S and Rossini Paolo M 2006 Clinical Neurophysiology 117 252
|
| [13] |
Li L, Jin Z L and Li B 2011 Chin. Phys. B 20 038701
|
| [14] |
Machens C K, Gollisch T, Kolesnikova O and Herz A V M 2005 Neuron 47 447
|
| [15] |
Ma Q L, Bian C H and Wang J 2010 Acta Phys. Sin. 59 4480 (in Chinese)
|
| [16] |
Fang X L and Jiang Z L 2007 Acta Phys. Sin. 56 7730 (in Chinese)
|
| [17] |
Meng Q F, Zhou W D, Chen Y H and Peng Y H 2010 Acta Phys. Sin. 59 123 (in Chinese)
|
| [18] |
Xie Y, Xu J X, Yang H J and Hu S J 2002 Acta Phys. Sin. 51 205 (in Chinese)
|
| [19] |
Han J S 2004 Neurosci. Lett. 361 258
|
| [20] |
Li W 1990 J. Stat. Phys. 60 823
|
| [21] |
Atanu B and Apratim G 2010 Comput. Neurosci. 29 35
|
| [22] |
Strong S P, Koberle R, de Ruyter van Steveninck R R and Bialek W 1998 Phys. Rev. Lett. 80 197
|
| [23] |
Radhakrishman N and B N Gangadhar 1998 IEEE Eng. Med. Bio. 17 89
|
| [24] |
Hou W, Feng G L and Dong W J 2005 Acta Phys. Sin. 54 3940 (in Chinese)
|
| [25] |
Hao S R and Hou B Y 2002 Chin. Phys. 11 450
|
| [26] |
Zhang X S, Roy R J and Jensen E W 2002 IEEE Trans. Biomed. Eng. 48 1424
|
| [27] |
Zhang X S and Roy R J 2002 IEEE Trans. Biomed. Eng. 48 312
|
| [28] |
X B Wu and J H Xu 1991 Acta Biophys. Sin. 1 103
|
| [29] |
Ferrario M, Signorini M G and Magenes G 2007 Methods of Information in Medicine 46 186
|
| [30] |
Xiao Y Y, Chen X K, Du L, Pei R Q, Chen F Y, Liu G R and Wu R H 2006 Engineering in Medicine and Biology Society, EMBS '06, 28th Annual International Conference of the IEEE August 30-September 3, 2006 New York, USA p. 1036
|
| [31] |
Han C X 2010 Research on the Acupuncture Neural Electrical Signals Conduction and Effect Ph. D. dissertation (Tianjin: Tianjin University) (in Chinese)
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
