Characteristic And Model Of The Neural Electrical Signal Evoked By Acupuncture

The basic research of acupuncture and its extension to the world are relied on theunderstanding of acupuncture mechanism and quantifying its parameter. And thefiring patterns of neuron under stimulation are an interesting problem in the neuralcoding. In this thesis, the electrical information evoked by acupuncture is investigated,then initiation dynamic and time effect characteristics of neuron under acupunctureare given, and the simulation models are established.First, based on the physiological structure of the acupuncture signal pathway, wedesign two experiments-different methods of acupuncture stimulation, peripheralnervous system response experiment and different frequency acupuncture stimulation,lower central nervous system response experiment. Then electrical signals of ratspinal cord dorsal horn neurons evoked by different frequency acupuncture areregarded as point process described by intensity function. Treat acupuncture as hidestimulus, point process as observation, the state space model is established. Usingexpected maximum (EM) algorithm, the firing rate function estimation of acupunctureneuron is given. Because Gamma distribution is better than Possion distribution inreflecting the characteristics of neuron electrical signal, the discharge sequence can beconverted to inter-spike-interval (ISI) sequence. Using Gamma model to fit the ISI,and Bayesian method to estimate the irregular and rate, then we get the acupunctureinput information.Then, we convert the electrical signals of spinal cord dorsal horn neuron evokedby different frequency acupuncture and spinal dorsal root neuron induced by differentmethods acupuncture into action potentials. Then initiation dynamic parameters, thethreshold voltage and maximum rising rate of acupuncture action potential are given.Statistical analysis is applied to study the relationship between these two parameters.We get the initiation dynamic characteristics of the neuron electrical signal evoked bydifferent frequency acupuncture and the coding rule of different methods acupuncture.Finally, as for spinal dorsal root ganglion neuron electrical signals evoked bydifferent methods acupuncture, we use fano factor, dispersion analysis and modelsimulation analysis to get their time effect characteristics. The results showed that acupuncture can make the time structure of spinal dorsal root ganglion neuron change.Time effects of long-range correlation and small time window peak can characterizethe acupuncture, and we can distinguish different acupuncture manipulation by theirdifferent time effect characteristics.This thesis studies the acupuncture from a new perspective, mainly analyzes theelectrical signal evoked by acupuncture. It provides a good reference to furtherscientific demonstration of acupuncture, also has great meaning to further acupuncturepromotion and the standardization of its basic experimental research.