The development of image-guided and electrophysiological navigation for deep brain stimulation surgery

采用术中微电极记录（MER）技术对帕金森病（PD）患者的丘脑下核（STN）进行深部脑刺激（DBS）。在STN DBS患者中分别检测微电极标准与手术结果的相关性。STN总神经元数、运动相关神经元数、STN长度与手术预后的改善显著相关，其中运动相关神经元数与手术预后的关系最为密切。基于非线性变换理论，提出了一种新的图像分析方法。根据术中拍摄的颅骨X-P（正侧位）内的自由空气量评估脑移位，从而计算AC和PC位移。总的来说，我们开发了电生理导航，该导航考虑了单个单元记录数据与手术结果显著相关，实时电生理数据可以拟合到3d虚拟Schaltenbland和Wahren图谱中

Deep brain stimulation(DBS) of the subthalamic nucleus(STN) for the patients with Parkinson disease(PD) is performed using intraoperative microelectrode recording(MER) to define the optimal site. The correlation between microelectrode criteria and surgical outcome was respectively examined in the patients with STN DBS. The number of total STN neurons, movement-related neurons and the length of STN recorded were significantly correlated with improvement of the surgical outcome and the number of movement-related neurons was most strongly related with the surgical outcome. We developed the new image analysis technique based on non-linear transformation theory. The brain shift is evaluated according to the volume of free air in the skull X-P(front and lateral view) taken intraoperatively, resulting calculation of AC and PC displacement. Totally, we developed the electrophysiological navigation of which the single unit recording data significantly correlated to the surgical outcome is considered and the real-time electrophysiological data can be fitted to the 3Dvirtual Schaltenbland and Wahren atlas