| Parkinson's disease(PD) is a progressive degenerative disease. Its cardinal symptoms are rigidity, resting tremor and bradykinesia. PD couldn't be cured because the etiology remains unknown. With the increase in the number of the old man, more and more old man would suffer from PD. Posteroventral Pallidotomy is one of the important operations for the surgical treatment of PD. Exact target localization is the key of the decrease in side effect and increase in curative effect. Image-guided localization isn't accurate enough. Neurophysiological localization has to be applied in most operations. Microelectrode technique plays an absolutely necessary role in Neurophysiological localization, which can locate a nucleus by finding out some characteristics of neural discharge and the discharge pattern when active or passive movement of the extremities. The accuracy of microelectrode-guided localization can be to a neuron, so it can make the operation safeand effective. OBJECTIVELocating the upper border of Gpi is the key for Posteroventral Pallidotomy, but surgeons would often meet with lots of difficulties. In order to map the upper border the difference of the discharge patterns and frequency between Gpi and Gpe must be identified. It is easy to distinguish the difference of the discharge frequency, but it is difficult to distinguish the difference of the discharge pattern because there are many atypical discharge patterns in Gpi and Gpe, which would confuse surgeons and mistake the target localization. Now there aren't objective rules for differentiate discharge patterns between Gpi and Gpe, so the differentiation has to be based on subjective alterable principle. Without a uniform objective principle for discharge pattern differentiation between Gpi and Gpe the proportion and influence degree of atypical discharge neurons on target localization would not be estimated. The aim of the study is to build an objective principle to distinguish the difference of the discharge patterns between Gpi and Gpe in order to diminish the subjective influence on target localization and estimate the proportion and influence degree of atypical discharge neurons on target localization. With the objective principle a program may be made up to auto analysis the discharge of pallidum. METHODS1. To record the discharge of pallidum neurons for 20-60 seconds. The data is stored in hard disk.2. To identify and select the single-unit discharge based on the-amplitude, frequency and pattern. Only the single-unit discharge neurons would be studied. The neurons are located by identifying the typical neuron discharge of Gpe, Gpi and lamina between Gpe and Gpi and compared with the standard atlas.3. To demarcate the spikes after operation.4. To compute the frequency of the single-unit discharge, plot the probability distribution histogram of spike-spike interval and compute Busting Index, Pause Index and Pause Ratio.5. To compare the frequency, Busting Index, Pause Index and Pause Ratio of Gpi with of Gpe.6. To plot distribution curves of frequency, Busting Index, Pause Index and Pause Ratio of Gpi and Gpe. The crossing of the two curves is Cutoff.7. To plot four-grid tables and compute the Sensitivity, Specificity and Accuracy when frequency, Busting Index, Pause Index and Pause Ratio are used as guideline respectively to differentiate discharge patterns between Gpi and Gpe. RESULT1. The frequency of Gpi neurons discharge is 26-191Hz(the mean is 96, the 10-percentile is 39, the 90- percentile is 131). The frequency of Gpi neurons discharge is 17-120Hz(the mean is 59, the 10-percentile is 26, the 90- percentile is 73). The frequency of Gpi neurons discharge is markedly different from of Gpe neurons, but there is overlap between the frequency of Gpi and Gpe. The crossing is 69Hz, Se, Sp and Ac are 0.84> 0.64 ^11 0.72 respectively when frequency is used as the guidline.2. The probability distribution histogram of spike-spike interval of Gpi and Gpe neuron discharge.The discharges...
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