Predicting postoperative seizure freedom using functional correlation networks derived from interictal intracranial electroencephalography (EEG) has shown some success. However, there are important challenges to consider: (1) electrodes physically closer to each other naturally tend to be more correlated, causing a spatial bias; (2) implantation location and number of electrodes differ between patients, making cross‐subject comparisons difficult; and (3) functional correlation networks can vary over time but are currently assumed to be static.

中文翻译：

---

用于预测手术成功的发作间期颅内脑电图：空间和时间的重要性

使用源自发作间期颅内脑电图 (EEG) 的功能相关网络预测术后无癫痫发作已显示出一些成功。然而，有一些重要的挑战需要考虑：（1）物理上彼此更接近的电极自然倾向于更相关，从而导致空间偏差；(2) 不同患者的植入位置和电极数量不同，难以进行跨受试者比较；(3) 功能相关网络可以随时间变化，但目前假定是静态的。