...
首页> 外文期刊>Neurosurgery >Granger Causality Analysis of Interictal iEEG Predicts Seizure Focus and Ultimate Resection
【24h】

Granger Causality Analysis of Interictal iEEG Predicts Seizure Focus and Ultimate Resection

机译:Interrictal IEEG的格兰杰因果关系分析预测癫痫发作重点和最终切除

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

BACKGROUND: A critical conceptual step in epilepsy surgery is to locate the causal region of seizures. In practice, the causal region may be inferred from the set of electrodes showing early ictal activity. There would be advantages in deriving information about causal regions from interictal data as well. We applied Granger's statistical approach to baseline interictal data to calculate causal interactions. We hypothesized that maps of the Granger causality network (or GC maps) from interictal data might inform about the seizure network, and set out to see if "causality" in the Granger sense correlated with surgical targets.
机译:背景:癫痫手术的批判性概念步骤是找到癫痫发作的因果区。 在实践中,可以从显示早期胰菌活性的电极中推断出原因区域。 在从内部数据中导出有关因果区的信息存在的优势。 我们将格兰杰的统计方法应用于基线互动数据以计算因果关系。 我们假设来自Interrictal数据的格兰杰因果关系网络(或GC地图)的地图可能会通知癫痫发作网络,并开始看看Ganger Sense中的“因果关系”与外科目标相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号