Locating Optimal Electrodes Placement via Microelectrode Recording in General Anesthetic Patients During Deep Brain Stimulation

W. Chuang, K. Young, P. Chao, S. Tsai, Shin-Yuan Chen
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引用次数: 2

Abstract

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.
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通过微电极记录在全身麻醉患者脑深部刺激过程中定位最佳电极位置
脑深部电刺激(DBS)是治疗晚期帕金森病的一种很有前途的治疗方法。在DBS手术中,全身麻醉诱导是避免局部麻醉下患者不适的另一种方法。同时,微电极记录(MER)是在大脑中最佳放置的指导。然而,在这个过程中,神经尖峰的抑制作用是由全身麻醉来承担的。因此,我们使用正中神经刺激(MNS)来增强它们。同时,也增强了背景噪声的威力。然后,这使得MER很难确定最佳的电极位置。在这项研究中,我们提出了一种包括尖峰检测,快速傅立叶变换和功率谱分析的方法来分析MER。通过这些结果,MER数据可以成功地用于跟踪丘脑下背外侧核(STN),以确保最佳电极位置。
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