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基于高频振荡特征识别癫痫发作起始区和发作前期状态。

Identification of seizure onset zone and preictal state based on characteristics of high frequency oscillations.

作者信息

Malinowska Urszula, Bergey Gregory K, Harezlak Jaroslaw, Jouny Christophe C

机构信息

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

出版信息

Clin Neurophysiol. 2015 Aug;126(8):1505-13. doi: 10.1016/j.clinph.2014.11.007. Epub 2014 Nov 18.

DOI:10.1016/j.clinph.2014.11.007
PMID:25499074
Abstract

OBJECTIVE

We investigate the relevance of high frequency oscillations (HFO) for biomarkers of epileptogenic tissue and indicators of preictal state before complex partial seizures in humans.

METHODS

We introduce a novel automated HFO detection method based on the amplitude and features of the HFO events. We examined intracranial recordings from 33 patients and compared HFO rates and characteristics between channels within and outside the seizure onset zone (SOZ). We analyzed changes of HFO activity from interictal to preictal and to ictal periods.

RESULTS

The average HFO rate is higher for SOZ channels compared to non-SOZ channels during all periods. Amplitudes and durations of HFO are higher for events within the SOZ in all periods compared to non-SOZ events, while their frequency is lower. All analyzed HFO features increase for the ictal period.

CONCLUSIONS

HFO may occur in all channels but their rate is significantly higher within SOZ and HFO characteristics differ from HFO outside the SOZ, but the effect size of difference is small.

SIGNIFICANCE

The present results show that based on accumulated dataset it is possible to distinguish HFO features different for SOZ and non-SOZ channels, and to show changes in HFO characteristics during the transition from interictal to preictal and to ictal periods.

摘要

目的

我们研究高频振荡(HFO)与人类复杂部分性发作前癫痫源组织生物标志物及发作前期指标的相关性。

方法

我们引入了一种基于HFO事件幅度和特征的新型自动HFO检测方法。我们检查了33例患者的颅内记录,并比较了发作起始区(SOZ)内外通道之间的HFO发生率和特征。我们分析了从发作间期到发作前期再到发作期HFO活动的变化。

结果

在所有时期,SOZ通道的平均HFO发生率均高于非SOZ通道。与非SOZ事件相比,所有时期SOZ内事件的HFO幅度和持续时间更高,而其频率更低。所有分析的HFO特征在发作期均增加。

结论

HFO可能出现在所有通道中,但在SOZ内其发生率明显更高,且HFO特征与SOZ外的HFO不同,但差异的效应大小较小。

意义

目前的结果表明,基于积累的数据集,可以区分SOZ和非SOZ通道不同的HFO特征,并显示从发作间期到发作前期再到发作期HFO特征的变化。

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