A rational, multispectral mapping algorithm for primary motor cortex: A primary step before cortical stimulation
A rational, multispectral mapping algorithm for primary motor cortex: A primary step before cortical stimulation
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初级运动皮层的合理多光谱映射算法：皮层刺激之前的第一步
作者：
Shuichiro Neshige;Katsuya Kobayashi;Masao Matsuhashi;Takefumi Hitomi;Akihiro Shimotake;Takayuki Kikuchi;Kazumichi Yoshida;Takeharu Kunieda;Riki Matsumoto;Susumu Miyamoto;Ryosuke Takahashi;Hirofumi Maruyama;Akio Ikeda
对于未来基于人工智能的脑映射，使用皮层电图为脑运动映射算法开发合理安全的评分系统（ECoG评分），其中包含各种光谱，纯内在的大脑活动，在皮层电刺激（ECS）之前或没有皮层电刺激（ECS）时，方法我们评估了2011 - 2017年期间在京都大学医院癫痫手术前接受硬膜下电极植入的10名连续局灶性癫痫患者的1114个电极。基于ECoG的标测数据（0.016 - 300/600 Hz的带通滤波器）定义主要运动区（M1）定位，用于创建ECoG评分（范围= 0 - 4）通过为ECoG分量的出现各分配1分：极慢运动相关皮层电位（<0.5 - 1.0 Hz）、事件相关同步化（76 - 100 Hz或100 - 200 Hz）和事件相关去同步化（8 - 12 Hz或12 - 24 Hz）。ECoG评分通过计算灵敏度、特异性和截止值来评估，该值与仅使用ECS作为参考的M1定义的定位一致性评分。结果受试者工作特征曲线下面积（AUC）为0.76，4分和1分的截止值分别显示出与基于ECS的映射一致的高特异性（94%）和灵敏度（98%）。ECoG评分对上肢M1的定位准确性（AUC = 0.85）高于面部M1的定位准确性（AUC = 0.64）。虽然ECS仍然广泛用于术前检查，我们提出的应用ECoG评分可能适合未来的大脑M1映射，并可能超越M1映射，独立于ECS。
ObjectiveFor future artificial intelligence–based brain mapping, development of a rational and safe scoring system for a brain motor mapping algorithm using electrocorticography (ECoG score), which contains various spectral, purely intrinsic brain activities, is necessary for either before or in the absence of electrical cortical stimulation (ECS).MethodsWe evaluated 1114 electrodes of 10 consecutive focal epilepsy patients who underwent subdural electrode implantation before epilepsy surgery at Kyoto University Hospital during 2011‐2017. Data from ECoG‐based mapping (bandpass filter of 0.016‐300/600 Hz) to define the primary motor area (M1) localization were used to create an ECoG score (range = 0‐4) by assigning 1 point each for the occurrence of ECoG components: very slow movement‐related cortical potentials (<0.5‐1.0 Hz), event‐related synchronization (76‐100 Hz or 100‐200 Hz), and event‐related desynchronization (8‐12 Hz or 12‐24 Hz). The ECoG score was assessed by calculating the sensitivity, specificity, and cutoff values of the score for localization concordance with M1 defined using only ECS as a reference.ResultsWith an area under the receiver operating characteristic curve (AUC) of 0.76, cutoffs of scores of 4 and 1 showed high specificity (94%) and sensitivity (98%) in concordance with ECS‐based mapping, respectively. The ECoG score for mapping M1 of the upper limb achieved greater accuracy (AUC = 0.85) compared to that of the face (AUC = 0.64).SignificanceThe ECoG score proposed in the present study is rational, simple, and useful to define M1, and it is spatially concordant with ECS. Although ECS is still widely employed for presurgical examination, our proposed application of the ECoG score may be suitable for future brain M1 mapping, and possibly beyond M1 mapping, independently of ECS.