Department of Neurological Surgery, and Division of Applied System Neuroscience, Department of Advanced Medical Science, Nihon University School of Medicine, Tokyo, Japan.
Neuromodulation. 2008 Jan;11(1):1-7. doi: 10.1111/j.1525-1403.2007.00136.x.
Objective. For targeting the subthalamic nucleus (STN), we attempted to quantify the changes in multiple cell activities by computing the neural noise level and multiple-cell spike density (MSD). Methods. We analyzed the neural noise level and MSD by stepwise recording at every 0.25-mm increment during the final tracking in 90 sides of 45 patients with Parkinson's disease. The MSD was analyzed with cut-off levels ranging from 1.2- to 2.0-fold the neural noise level in the internal capsule or zona incerta in each trajectory. Results. The dorsal boundary of the STN was identified from an increase in the neural noise ratio in all sides. The ventral boundary was identifiable, however, from a decrease in the neural noise ratio in only 70 sides (78%). In contrast, both the dorsal and ventral boundaries were clearly identified from an increase and a decrease in the MSD, respectively, in all of the 90 sides. Conclusion. MSD analysis by semimicroelectrode recording represents a useful, practical, and apparently reliable means for identifying the boundaries of the STN.
为了靶向丘脑底核（STN），我们试图通过计算神经噪声水平和多细胞尖峰密度（MSD）来量化多个细胞活动的变化。
我们在 45 名帕金森病患者的 90 侧中，通过在最后追踪过程中的每 0.25mm 递增进行逐步记录，分析神经噪声水平和 MSD。在每个轨迹中，MSD 分析的截止水平范围为神经噪声水平的 1.2 至 2.0 倍。
所有侧面均显示神经噪声比增加，从而确定了 STN 的背侧边界。仅在 70 侧（78%）中可以从神经噪声比的降低来识别腹侧边界。相比之下，在所有 90 侧中，MSD 分析均显示出增加和减少，分别清楚地确定了 STN 的背侧和腹侧边界。
半微电极记录的 MSD 分析代表了一种有用、实用且显然可靠的方法，可用于确定 STN 的边界。
