Fu Qionglin, Jiang Tao, Huang Yueshan
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Aug;32(4):881-6.
The main shortcomings of using electrocortical stimulation (ECS) in identifying the motor functional area around the focus in neurosurgery are certainly time-consuming, possibly cerebral cortex injuring and perhaps triggering epilepsy. To solve these problems, we in our research presented an intraoperative motor cortex functional mapping based on electrocorticography (ECoG). At first, using power spectrum estimation, we analyzed the characteristic of ECoG which was related to move task, and selected Mu rhythm as the move-related feature. Then we extracted the feature from original ECoG by multi-resolution wavelet analysis. By calculating the sum value of feature in every channel and observing the distribution of these sum values, we obtained the correlation between the cortex area under the electrode and motor cortex functional area. The results showed that the distribution of the relationship between the cortex under the electrode and motor cortex functional area was almost consistent with those identified by ECS which was called as the gold-standard. It indicated that this method was basically feasible, and it just needed five minutes totally. In conclusion, ECoG-based and passive identification of motor cortical function may serve as a useful adjunct to ECS in the intraoperative mapping.
在神经外科手术中，使用皮质电刺激（ECS）来识别病灶周围运动功能区的主要缺点无疑是耗时、可能损伤大脑皮层以及可能引发癫痫。为了解决这些问题，我们在研究中提出了一种基于皮质脑电图（ECoG）的术中运动皮层功能图谱绘制方法。首先，我们使用功率谱估计分析了与运动任务相关的ECoG特征，并选择μ节律作为与运动相关的特征。然后，我们通过多分辨率小波分析从原始ECoG中提取该特征。通过计算每个通道中特征的总和值并观察这些总和值的分布，我们获得了电极下方皮层区域与运动皮层功能区之间的相关性。结果表明，电极下方皮层与运动皮层功能区之间关系的分布与被称为金标准的ECS所识别的分布几乎一致。这表明该方法基本可行，且总共只需五分钟。总之，基于ECoG的运动皮层功能被动识别可作为术中图谱绘制中ECS的有用辅助手段。
