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首页> 外文期刊>Epilepsia: Journal of the International League against Epilepsy >Two main focal seizure patterns revealed by intracerebral electroencephalographic biomarker analysis
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Two main focal seizure patterns revealed by intracerebral electroencephalographic biomarker analysis

机译:脑脑脑脑脑脑肺型生物标志物分析揭示了两个主要焦点癫痫发作模式

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摘要

Objective Long-term recording with intracerebral electrodes is commonly utilized to identify brain areas responsible for seizure generation (epileptogenic zone) and to tailor therapeutic surgical resections in patients with focal drug-resistant epilepsy. This invasive diagnostic procedure generates a wealth of data that contribute to understanding human epilepsy. We analyze intracerebral signals to identify and classify focal ictal patterns. Methods We retrospectively analyzed stereo-electroencephalographic (EEG) data in a cohort of patients either cryptogenic (magnetic resonance imaging negative) or presenting with noncongruent anatomoelectroclinical data. A computer-assisted method based on EEG signal analysis in frequency and space domains was applied to 467 seizures recorded in 105 patients submitted to stereo-EEG presurgical monitoring. Results Two main focal seizure patterns were identified. P-type seizures, typical of neocortex, were observed in 73 patients (69.5%), lasted 22 +/- 13 seconds (mean +SD), and were characterized by a sharp-onset/sharp-offset transient superimposed on low-voltage fast activity (126 +/- 19 Hz). L-type seizures were observed in 43 patients (40.9%) and consistently involved mesial temporal structures; they lasted longer (93 +/- 48 second), started with 116 +/- 21 Hz low-voltage fast activity superimposed on a slow potential shift, and terminated with large-amplitude, periodic bursting activity. In 23 patients (21.9%), the L-type seizure was preceded by a P seizure. Spasmlike and unclassifiable EEG seizures were observed in 11.4% of cases. Significance The proposed computer-assisted approach revealed signal information concealed to visual inspection that contributes to identifying two principal seizure patterns typical of the neocortex and of mesial temporal networks.
机译:具有脑内电极的客观长期记录通常用于鉴定负责癫痫发电(癫痫区)的脑区域,并在局灶性耐药性癫痫患者中定制治疗手术切除。这种侵入性诊断程序产生了丰富的数据,这些数据有助于了解人类癫痫症。我们分析了脑内信号以识别和分类局灶性ICTAL模式。方法回顾性地分析了患者队列的立体脑电图(EEG)数据,或者用非协定的解剖电解数据呈现。应用基于频率和空间域中的EEG信号分析的计算机辅助方法应用于在提交立体EEG预设监测的105名患者中记录的467次癫痫发作。结果确定了两个主要焦点癫痫发作模式。在73名患者(69.5%)中观察到P型癫痫发作,典型的Neocortex(69.5%),持续22 +/- 13秒(平均值+ SD),并通过锐利/尖锐偏移的瞬态叠加在低压上的表征快速活动(126 +/- 19 Hz)。在43名患者(40.9%)中观察到L型癫痫发作,始终如一地涉及间隙时间结构;它们持续更长时间(93 +/- 48秒),开始于116 +/- 21 Hz低压快速活动,叠加在慢势偏移上,并以大幅度的周期性爆破活动终止。在23名患者中(21.9%),L型癫痫发作前面是P扣押。在11.4%的病例中观察到痉挛性和不可划分的脑电图癫痫发作。意义提出的计算机辅助方法揭示了隐藏在视觉检查的信号信息,这有助于识别典型的典型的典型癫痫发作模式和虚线时间网络。

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