Deep brain stimulation (DBS) is one of promising therapy to treat advanced Parkinson's disease. During DBS operation, general anesthetic induction has been shown an alternative procedure to avoid patient's discomfort under local anesthesia. Meanwhile, microelectrode recording (MER) is a guide of optimal placement in the brain. However, the inhibition of power of neural spiking is assumed by the general anesthesia during the process. Therefore, we use median nerve stimulation (MNS) to enhance them. At the same time, the power of background noise is also enhanced. Then, it makes MER be poor to determine the optimal electrode placement. In this study, we present a methodology including spike detection, fast Fourier transformation and power spectrum analysis for analyzing MER. Through these results, MER data can be successfully utilized for tracking dorsolateral sub thalamic nucleus (STN) to ensure optimal electrode location.