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Fractal characterization of acupuncture-induced spike trains of rat WDR neuronsAuthor-Name: Chen, Yingyuan

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  • Guo, Yi
  • Wang, Jiang
  • Hong, Shouhai
  • Wei, Xile
  • Yu, Haitao
  • Deng, Bin

Abstract

The experimental and the clinical studies have showed manual acupuncture (MA) could evoke multiple responses in various neural regions. Characterising the neuronal activities in these regions may provide more deep insights into acupuncture mechanisms. This paper used fractal analysis to investigate MA-induced spike trains of Wide Dynamic Range (WDR) neurons in rat spinal dorsal horn, an important relay station and integral component in processing acupuncture information. Allan factor and Fano factor were utilized to test whether the spike trains were fractal, and Allan factor were used to evaluate the scaling exponents and Hurst exponents. It was found that these two fractal exponents before and during MA were different significantly. During MA, the scaling exponents of WDR neurons were regulated in a small range, indicating a special fractal pattern. The neuronal activities were long-range correlated over multiple time scales. The scaling exponents during and after MA were similar, suggesting that the long-range correlations not only displayed during MA, but also extended to after withdrawing the needle. Our results showed that fractal analysis is a useful tool for measuring acupuncture effects. MA could modulate neuronal activities of which the fractal properties change as time proceeding. This evolution of fractal dynamics in course of MA experiments may explain at the level of neuron why the effect of MA observed in experiment and in clinic are complex, time-evolutionary, long-range even lasting for some time after stimulation.

Suggested Citation

  • Guo, Yi & Wang, Jiang & Hong, Shouhai & Wei, Xile & Yu, Haitao & Deng, Bin, 2015. "Fractal characterization of acupuncture-induced spike trains of rat WDR neuronsAuthor-Name: Chen, Yingyuan," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 205-214.
    • Handle: RePEc:eee:chsofr:v:77:y:2015:i:c:p:205-214
    DOI: 10.1016/j.chaos.2015.05.026
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    References listed on IDEAS

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    1. Wang, Jiang & Sun, Li & Fei, Xiangyang & Zhu, Bing, 2007. "Chaos analysis of the electrical signal time series evoked by acupuncture," Chaos, Solitons & Fractals, Elsevier, vol. 33(3), pages 901-907.
    2. Flora M Antunes & Israel Nelken & Ellen Covey & Manuel S Malmierca, 2010. "Stimulus-Specific Adaptation in the Auditory Thalamus of the Anesthetized Rat," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-15, November.
    3. Blesić, S. & Milošević, S. & Stratimirović, Dj. & Ljubisavljević, M., 2003. "Detecting long-range correlations in time series of neuronal discharges," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 330(3), pages 391-399.
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    Cited by:

    1. Jin, Chen & Zhang, Xuan & Wang, Jiang & Guo, Yi & Zhao, Xue & Guo, Yong-Ming, 2016. "Impact of substance P on the correlation of spike train evoked by electro acupuncture," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 249-254.
    2. Contreras-Uribe, T.J. & Garay-Jiménez, L.I. & Guzmán-Vargas, L., 2017. "A point process analysis of electrogastric variability," Chaos, Solitons & Fractals, Elsevier, vol. 94(C), pages 16-22.

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