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ANALYSIS OF HIGH-RESOLUTION MICROELECTRODE EEG RECORDINGS IN AN ANIMAL MODEL OF SPONTANEOUS LIMBIC SEIZURES

机译:自发性肢体麻醉动物模型中高分辨率微电极脑电记录的分析

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摘要

We perform a systematic data analysis on high resolution (0.5-12 kHz) multiarray microelectrode recordings from an animal model of spontaneous limbic epilepsy, to investigate the role of high frequency oscillations and the occurrence of early precursors for seizures. Results of spectral analysis confirm the importance of very high frequency oscillations (even greater than 600 Hz) in normal (healthy) and abnormal (epileptic) hippocampus. Furthermore, we show that the measures of Recurrence Quantification Analysis (RQA) and Recurrence Time Statistics (RTS) are successful in indicating, rather uniquely, the onset of ictal state and the occurrence of some warnings/precursors during the pre-ictal state, in contrast to the linear measures investigated.
机译:我们对自发性边缘性癫痫动物模型中的高分辨率(0.5-12 kHz)多阵列微电极记录进行系统的数据分析,以研究高频振荡的作用和癫痫发作的早期前体的发生。频谱分析结果证实,在正常(健康)和异常(癫痫)海马中,非常高的频率振荡(甚至大于600 Hz)非常重要。此外,我们表明,在定量分析中,复发量化分析(RQA)和复发时间统计(RTS)的测量方法成功地(非常独特地)指示了发作期的发作以及发作前状态下某些警告/前兆的发生。与调查的线性量度相反。

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