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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Improving Electroencephalographic Source Localization of Epileptogenic Zones With Time-Frequency Analysis
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Improving Electroencephalographic Source Localization of Epileptogenic Zones With Time-Frequency Analysis

机译：时频分析改善癫痫区脑电图源定位

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摘要

The combination of recently developed methods for electroencephalographic (EEG) space-time-frequency analysis can provide noninvasive functional neuroimages necessary for obtaining an accurate localization of the epileptogenic zone. The aim of this study was to determine if time-frequency (TF) analysis, followed by EEG source localization, would improve the detection and identification of epileptogenic and related activity. Seventeen patients with refractory frontal lobe epilepsy (FLE) were studied using video EEG recording. TF analysis identified the first epileptogenic EEG changes. Using the Bayesian model averaging (BMA) approach, we compared brain electromagnetic tomographic (BET) images, constructed from the TF domain, with BET images constructed from the time domain only. We determined if the localization identified by BET images was concordant with the localization from medical history and video EEG recording. TF analysis provided a clear display of subtle EEG features, including EEG lateralization, and more concordant and delimited epileptogenic zones, compared with time-domain source analysis. In conclusion, EEG TF analysis improves source localization. After a thorough validation, this methodology could become a useful noninvasive tool for localizing the epileptogenic zone in clinical practice.
机译：最近开发的脑电图（EEG）时空频率分析方法的组合可以提供获得准确定位癫痫发生区所必需的非侵入性功能性神经影像。这项研究的目的是确定时频（TF）分析，然后进行脑电信号源定位，是否会改善癫痫发生及相关活性的检测和鉴定。使用视频脑电图记录研究了17例难治性额叶癫痫（FLE）患者。 TF分析确定了最初的癫痫性脑电图变化。使用贝叶斯模型平均（BMA）方法，我们比较了从TF域构造的脑电磁层析成像（BET）图像和仅从时域构造的BET图像。我们确定了由BET图像确定的定位是否与病史和视频EEG记录中的定位一致。与时域源分析相比，TF分析清楚地显示了微妙的脑电图特征，包括脑电图侧向化，更一致和界定的癫痫发生区。总之，EEG TF分析可改善源的本地化。经过全面验证，该方法可成为在临床实践中定位癫痫发生区的有用非侵入性工具。

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