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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >A Novel HFO-based Method for Unsupervised Localization of the Seizure Onset Zone in Drug-Resistant Epilepsy
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A Novel HFO-based Method for Unsupervised Localization of the Seizure Onset Zone in Drug-Resistant Epilepsy

机译：一种基于HFO的耐药性癫痫中癫痫发作区域的无监督定位方法

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摘要

High frequency oscillations (HFOs) are potential biomarkers of epileptic areas. In patients with drug-resistant epilepsy, HFO rates tend to be higher in the seizure onset zone (SOZ) than in other brain regions and the resection of HFO-generating areas positively correlates with seizure-free surgery outcome. Nonetheless, the development of robust unsupervised HFO-based tools for SOZ localization remains challenging. Current approaches predict the SOZ by processing small samples of intracranial EEG (iEEG) data and applying patient-specific thresholds on the HFO rate. The HFO rate, though, varies largely over time with the patient's conditions (e.g., sleep versus wakefulness) and across patients. We propose a novel localization method for SOZ that uses a time-varying, HFO-based index to estimate the epileptic susceptibility of the iEEG channels. The method is insensitive to the average HFO rate across channels (which is both patient- and condition-specific), tracks the channel susceptibility over time, and predicts the SOZ based on the temporal evolution of the HFO rate. Tested on a preliminary dataset of continuous multi-day multichannel interictal iEEG recordings from two epileptic patients (117± 97.6 h/per patient, mean ± S.D.), the reported SOZ prediction had an average 0.70±0.18 accuracy and 0.67±0.07 area under the ROC curve (mean ± S.D.) across patients.
机译：高频振荡（HFO）是癫痫区域的潜在生物标志物。在耐药性癫痫患者中，癫痫发作区（SOZ）趋势趋于高于其他脑区，并与无癫痫发作的手术结果正相关。尽管如此，为SOZ定位的强大无监督的合金工具的发展仍然具有挑战性。目前方法通过处理小型颅内脑电图（IEEG）数据并对HFO率应用特定于患者特定阈值来预测SOZ。然而，HFO率在很大程度上随着患者的条件而随着时间的推移而变化（例如，睡眠与清醒）和患者。我们提出了一种用于SOZ的新型定位方法，其使用时变HFO的指数来估计IEEG频道的癫痫态易感性。该方法对通道跨越通道的平均HFO速率不敏感（患者和条件特定），跟踪通道敏感度随时间，并根据HFO率的时间演变预测SOZ。测试在连续多天的多声道发作即例如录音的初步数据集从两个癫痫患者（117±97.6 H /每名患者，平均值±SD），所报道的SOZ预测有下的平均0.70±0.18准确度和0.67±0.07面积患者中的ROC曲线（平均值±SD）。

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