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The Construction and Analysis of Brain Functional Network on theEEG Response of Magnetic Stimulation at Guangming Point |
Xing Yangyang1 Geng Yuehua1* Zhang Xin2 Yu Hongli1 Xu Guizhi1 |
1 Hebei Provincial Key Laboratory of Electromagnetic Field and Electrical Reliability, Hebei University of Technology, Tianjin 300130, China 2Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin 300387, China |
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Abstract Recently, the research and application on the combination of transcranial magnetic stimulation(TMS) and acupoint stimulation by traditional Chinese medicine has made some progress, graph theory has also been explored in the field of brain research. The combination of these theories and techniques will bring outa new direction for the application of neural magnetic stimulation and research of brain science. In this paper, the linear time domain correlation analysis of EEG between two channels of the magnetic stimulation at Guangming point and the mock point were carried out, each channel of the diencephalon electric data related to the number and the form of correlation matrix was determined by setting the size threshold for obtaining adjacency matrix. The brain functional network was constructed by the signals of the two experimental states. Results showed that the brain function of the laser beam was significantly increased than that of the occipital lobe (visual contact area) and the frontal area. Based on the graph theory, complex network theory was used to compare the parameters of the characteristic parameters of the brain function network.Magnetic acupuncture point laser made the brain functional network changed, the average degree of network and clustering coefficient were increased, and the characteristic path length decreased; meanwhile, the global efficiency and local efficiencywere improved, the property of small world was enhanced, all of which were statistically different.This work provided a theoretical basis for the application of magnetic stimulation technology in improving the nerve function of acupoints.
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Received: 20 January 2016
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[1] 翁春晓,范肖冬,侯冰.经颅刺激对脑功能的调节作用[J]. 2015,19(2):196-201. [2] 王毅,蒋大宗. 功能磁刺激技术的研究[J].生物医学工程学杂志,2002,19(1):154-157. [3] Stam CJ, Jones BF, Nolte G, et al. Small-world networks and functional connectivity in Alzheimer′s disease[J]. Cerebral Cortex, 2007, 17(1): 92-99. [4] Micheloyannis S, Pachou E, StamCJ, et al. Using graph theoretical analysis of multi-channel EEG to evaluate the neural efficiency hypothesis[J]. Neuroscience Letters, 2006, 402(3): 273-277. [5] Micheloyannis S, Vourkas M, Tsirka V, et al. The influence of ageing on complex brain networks: a graph theoretical analysis [J]. Human Brain Mapping, 2009, 30(1): 200-208. [6] Ponten S C, Bartolomei F, Stam CJ. Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures[J]. Clinical Neurophysiology, 2007, 118(4): 918-927. [7] Dimitriadis SI, Laskaris NA, Del Rio-Portilla Y, et al. Characterizing dynamic functional connectivity across sleep stages from EEG [J]. Brain Topography, 2009, 22(2): 119-133. [8] 边洪瑞,王江,韩春晓,等.基于复杂度的针刺脑电信号特征提取[J].物理学报,2011,11(60): 1187011-1187019. [9] 韩春晓,王江,车艳秋,等.针刺足三里的脊髓背根神经电信号非线性特征提取[J].物理学报, 2010,59(8):5881-5888. [10] 李诺,王江,邓斌,等.针刺对脑功能性网络连接的影响[J].针刺研究,2011,36(4): 278-287. [11] Xin Z, Fu L, Geng Y, et al. Analysis of the effect of repeated-pulse transcranial magnetic stimulation at the Guangming point on electroencephalograms[J]. Neural Regeneration Research, 2014, 9(5):549-554. [12] 郭磊,王瑶,于洪丽,等.基于近似熵的磁刺激穴位脑功能网络构建和分析[J].电工技术学报,2015,30(10):31-38. [13] 徐桂芝,张秀,杨庆新,等.磁刺激穴位对人体神经功能调节作用[J].电工技术学报,2010(4):34-37. [14] Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations [J]. Neuroimage, 2010, 52(3): 1059-1069. [15] Erds P, Rényi A. On the strength of connectedness of a random graph[J]. Acta Mathematica Hungarica, 1961, 12(1): 261-267. [16] Achard S, Bullmore E. Efficiency and cost of economical brain functional networks[J]. PLoS Computational Biology, 2007, 3(2): e17. [17] Zhang J, Wang J, Wu Q, et al. Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder [J]. Biological psychiatry, 2011, 70(4): 334-342. [18] Watts DJ, Strogatz SH.Collective dynanics of ‘small-world′s networks [J].Nature,1998,393(6684):440-442. [19] Humphries MD,Gurney K,Prescott TJ.The brainstem reticular formation is a small-world, not scale-free,network [J].Proceeding of the Royal Society B:Biological Sciences,2006,273(1585):503-511. [20] 王金辉. 静息态脑网络计算方法及其在情感和记忆相关脑疾病中的应用研究:[D].北京:北京师范大学,2012. [21] 周全, 高鹏, 赵仓焕,等. 视觉刺激状态下正常成人电针光明穴的脑功能性磁共振研究[J]. 中国病理生理杂志, 2010, 26(5):907-911. [22] 邢家铭, 彭晓云, 张星华,等. 针刺光明穴对近视患者视力及图形诱发电位(P-VEP)的影响[J]. 中国中医眼科杂志, 2015(3):169-172. [23] 周诚, 王嘉洲, 陈敏,等. 针刺穴位与大脑皮层之间关系的脑功能MRI表现[J]. 中华放射学杂志, 2005, 39(3):252-255. |
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