Characterizing the transmission of acupuncture signal: A combination of experimental and computational study

Men, Cong; Wang, Jiang; Qin, Yingmei; Tsang, K.M.; Deng, Bin

doi:10.1016/j.apm.2011.12.008

Cited by 10 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, the urethane has been widely used in acupuncture experiments [54][55][56][57], and all of them have shown that the spinal reflex of urethane-anesthetized cats is well preserved. Our earlier acupuncture studies [19,[21][22][23][24][25] have also found a similar phenomenon. Thus, we believe that the effects of anesthesia on the recording of present study should be at most minor.…”

Section: Discussionsupporting

confidence: 71%

“…In our previous studies, we have used gamma-process model [21], delayed feedforward network model [22], complex network mapping [23] as well as some nonlinear analysis methods [19], such as, Lyapunov exponent, correlation dimension and LempelZiv complexity, to characterize the property of electric signals recorded in the neurons in spinal cord evoked by manual acupuncture. These investigations have not only revealed reliable information about the chaotic and random properties of acupuncture signals, but also offered a deep insight into neural processing underlying manual acupuncture.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Action potential threshold of wide dynamic range neurons in rat spinal dorsal horn evoked by manual acupuncture at ST36

Wang

Deng

et al. 2015

Neurocomputing

Self Cite

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Action potential threshold of wide dynamic range neurons in rat spinal dorsal horn evoked by manual acupuncture at ST36

Wang

Deng

et al. 2015

Neurocomputing

Self Cite

View full text Add to dashboard Cite

“…As computational neuroscience plays a more and more important role in understand neural mechanisms, a model of the acupuncture signal propagation pathway based on the feedforward network (FFN) are established [9]. The simulation result is consistent with the experimental results of a phenomenon, such as adaption.…”

Section: Introductionsupporting

confidence: 57%

Minimal Neuronal Model for the Transmission Path of Acupuncture Signal

Qin¹,

Liu²,

Che³

2015

Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

View full text Add to dashboard Cite

Acupuncture has been proved to be effective for treatment of diseases, but the underlying mechanisms about acupuncture are still unknown. We design the animal experiment and process the data. We focus on the firing patterns evoked by acupuncture and developed Izhikevich neuronal model to characterize acupuncture signal. It is shown that this minimal model could account for some important experimental phenomena. Computational studies provide more insight in the underlying mechanisms of acupuncture.

show abstract

“…Firstly, spike-sorting algorithms [11,12] were used offline to detect the spikes from the original data. Then, the ISI series and their statistical properties, including mean, standard deviation (SD), coefficient of variation (CV) and distribution, were constructed, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…In our previous studies, the changes of complexity under MA were found in human EEG [7], in neuronal activities of rat spinal dorsal root ganglia [8] and rat spinal dorsal horn [9,10]. These showed us a spatiotemporal coding of acupuncture information [11,12]. Thus, characterization of the time-evolutionary neural activities in context of MA becomes more important to understand its coding mechanisms.…”

Section: Introductionmentioning

confidence: 97%