首页> 外文期刊>Clinical neurophysiology >SCOPE-mTL: A non-invasive tool for identifying and lateralizing mesial temporal lobe seizures prior to scalp EEG ictal onset
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SCOPE-mTL: A non-invasive tool for identifying and lateralizing mesial temporal lobe seizures prior to scalp EEG ictal onset

机译:范围-MTL:用于在头皮EEG ICTAL发作之前识别和侧向化间隙化患者的非侵入性工具

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Highlights ? Computer algorithms can detect temporal lobe seizures on scalp EEG before an ictal pattern arises. ? Lateralization of seizures is also possible on scalp EEG before a visible ictal pattern arises. ? Analysis of the pre-ictal scalp EEG can add valuable information to guide presurgical evaluation. Abstract Objective In mesial temporal lobe (mTL) epilepsy, seizure onset can precede the appearance of a scalp EEG ictal pattern by many seconds. The ability to identify this early, occult mTL seizure activity could improve lateralization and localization of mTL seizures on scalp EEG. Methods Using scalp EEG spectral features and machine learning approaches on a dataset of combined scalp EEG and foramen ovale electrode recordings in patients with mTL epilepsy, we developed an algorithm, SCOPE-mTL, to detect and lateralize early, occult mTL seizure activity, prior to the appearance of a scalp EEG ictal pattern. Results Using SCOPE-mTL, 73% of seizures with occult mTL onset were identified as such, and no seizures that lacked an occult mTL onset were identified as having one. Predicted mTL seizure onset times were highly correlated with actual mTL seizure onset times (r = 0.69). 50% of seizures with early mTL onset were lateralizable prior to scalp ictal onset, with 94% accuracy. Conclusions SCOPE-mTL can identify and lateralize mTL seizures prior to scalp EEG ictal onset, with high sensitivity, specificity, and accuracy. Significance Quantitative analysis of scalp EEG can provide important information about mTL seizures, even in the absence of a visible scalp EEG ictal correlate. ]]>
机译:强调 ?计算机算法可以在引发ICTAL模式之前检测头部EEG上的时间叶片癫痫发作。还在可见的ICTAL模式之前,癫痫发作的横向化也是可能的。还预分子前头皮脑电图的分析可以增加有价值的信息来指导预设评估。摘要患薄膜颞叶(MTL)癫痫的目的,癫痫发作可以在SPARP EEG ICTAL模式的外观之前多秒。能够鉴定这种早期,隐匿性MTL癫痫发作活性可以改善MTL癫痫发作的MTL癫痫发作的横向化和定位。使用MTL癫痫患者组合的头皮EEG和FORAMEN卵形电极记录的数据集上使用SPARP EEG谱特征和机器学习方法,我们开发了一种算法,SCOPE-MTL,早期检测和横向化,在此之前,隐匿性MTL癫痫发作活动头皮EEG ICTAL模式的外观。使用范围-MTL的结果,鉴定出具有隐疫MTL发作的73%的癫痫发作,并且没有缺乏缺乏神经MTL发作的癫痫发作是具有一个的。预测的MTL癫痫发作次数与实际MTL癫痫发作次数高度相关(R = 0.69)。 50%的癫痫发作早期MTL发作在头皮ICTAL发作之前横向,精度为94%。结论范围-MTL可以在头皮EEG ICTAL发作之前识别和横向化MTL癫痫发作,具有高灵敏度,特异性和准确性。 SPARP EEG的意义定量分析可以提供关于MTL癫痫发作的重要信息,即使在没有可见的头皮EEG ICTAL相关性的情况下也是如此。 ]]>

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