Seizure onset zone localization from many invasive EEG channels using directed functional connectivity

P. Mierlo, A. Coito, S. Vulliémoz, O. Lie
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引用次数: 4

Abstract

In this study we investigated how directed functional connectivity can be used to localize the seizure onset zone (SOZ) from ictal intracranial EEG (iEEG) recordings. First, simulations were conducted to investigate the performance of two directed functional connectivity measures, the Adaptive Directed Transfer Function (ADTF) and the Adaptive Partial Directed Coherence (APDC), in combinations with two graph measures, the out-degree and the shortest path, to localize the SOZ. Afterwards the method was applied to the seizure of an epileptic patient, recorded with 113-channel iEEG and localization was compared with the subsequent resection that rendered the patient seizure free. We found both in simulations and in the patient data that the ADTF combined with the out-degree and shortest path resulted in correct SOZ localization. We can conclude that ADTF combined with out-degree or shortest path are most optimal to localize the SOZ from a high number of iEEG channels.
利用定向功能连接从多个有创脑电图通道中定位癫痫发作区
在这项研究中,我们研究了定向功能连接如何可以用于定位癫痫发作区(SOZ)从头侧颅内脑电图(iEEG)记录。首先,通过仿真研究了自适应有向传递函数(ADTF)和自适应部分有向相干(APDC)两种有向功能连通性度量,结合出度和最短路径两种图度量来定位SOZ的性能。随后,将该方法应用于癫痫患者的发作,用113通道iEEG记录并将定位与随后切除使患者无发作的手术进行比较。我们在模拟和患者数据中都发现,ADTF结合出度和最短路径可以得到正确的SOZ定位。我们可以得出ADTF结合出位度或最短路径在大量iEEG信道中定位SOZ最优的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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