提出一种高精度自动检测脑电高频振荡的新方法，助力难治性癫痫手术定位。
Detection of high-frequency oscillations using time-frequency analysis
- 基于S变换与无监督聚类，从时频域提取并分类高频振荡事件。
- 在模拟数据上达到97.67%敏感度、98.57%精确率，优于现有方法。
- 临床数据中与手术效果相关性达0.73，适合癫痫外科辅助决策。
高频振荡（HFOs）是识别癫痫致痫区的新型生物标志物，精准定位其生成区域可提高难治性癫痫患者切除范围的准确性。然而，HFOs检测仍具挑战，其临床特征尚未完全明确。人工识别耗时费力且主观性强，因此开发自动化检测方法对研究与临床至关重要。本研究提出一种针对涟漪（80-200 Hz）与快速涟漪（200-500 Hz）频段的HFO检测新方法。采用S变换提取时频域特征，结合无监督聚类技术对事件进行分类，有效区分HFOs、棘波、背景活动及伪迹。在控制数据集上，该方法敏感度达97.67%，精确度为98.57%，F-score为97.78%。在癫痫患者数据中，切除电极与未切除电极间的HFOs比率高达0.73，与手术预后显著相关。研究验证了HFOs作为致痫性生物标志物的潜力：去除快速涟漪等HFOs可实现无发作，残留则导致复发。
原文摘要 · Abstract (English)
High-frequency oscillations (HFOs) are a new biomarker for identifying the epileptogenic zone. Mapping HFO-generating regions can improve the precision of resection sites in patients with refractory epilepsy. However, detecting HFOs remains challenging, and their clinical features are not yet fully defined. Visual identification of HFOs is time-consuming, labor-intensive, and subjective. As a result, developing automated methods to detect HFOs is critical for research and clinical use. In this study, we developed a novel method for detecting HFOs in the ripple and fast ripple frequency bands (80-500 Hz). We validated it using both controlled datasets and data from epilepsy patients. Our method employs an unsupervised clustering technique to categorize events extracted from the time-frequency domain using the S-transform. The proposed detector differentiates HFOs events from spikes, background activity, and artifacts. Compared to existing detectors, our method achieved a sensitivity of 97.67%, a precision of 98.57%, and an F-score of 97.78% on the controlled dataset. In epilepsy patients, our results showed a stronger correlation with surgical outcomes, with a ratio of 0.73 between HFOs rates in resected versus non-resected contacts. The study confirmed previous findings that HFOs are promising biomarkers of epileptogenicity in epileptic patients. Removing HFOs, especially fast ripple, leads to seizure freedom, while remaining HFOs lead to seizure recurrence.
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