IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v77y2015icp205-214.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077915001629
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2015.05.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Pérez-González & Olga Hernández & Ellen Covey & Manuel S Malmierca, 2012. "GABAA-Mediated Inhibition Modulates Stimulus-Specific Adaptation in the Inferior Colliculus," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-14, March.
    2. Kembro, Jackelyn M. & Flesia, Ana Georgina & Gleiser, Raquel M. & Perillo, María A. & Marin, Raul H., 2013. "Assessment of long-range correlation in animal behavior time series: The temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6400-6413.
    3. Robert Mill & Martin Coath & Thomas Wennekers & Susan L Denham, 2011. "A Neurocomputational Model of Stimulus-Specific Adaptation to Oddball and Markov Sequences," PLOS Computational Biology, Public Library of Science, vol. 7(8), pages 1-15, August.
    4. Bazine, Hasnaa & Mabrouki, Mustapha, 2019. "Chaotic dynamics applied in time prediction of photovoltaic production," Renewable Energy, Elsevier, vol. 136(C), pages 1255-1265.
    5. Jiang, Dineng & He, Mulu & Qiu, Yihong & Zhu, Yisheng & Tong, Shanbao, 2009. "Long-range correlations in heart rate variability during computer-mouse work under time pressure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1527-1534.
    6. Járdánházy, Anett & Molnár, Márk & Járdánházy, Tamás, 2009. "Point correlation dimension can reveal functional changes caused by gap junction blockers in the 4-aminopyridine in vivo rat epilepsy model," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 286-297.
    7. Miriam Cornella & Sumie Leung & Sabine Grimm & Carles Escera, 2012. "Detection of Simple and Pattern Regularity Violations Occurs at Different Levels of the Auditory Hierarchy," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:77:y:2015:i:c:p:205-214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.