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Effect of Vigilance Changes on the Incidence of High Frequency Oscillations in the Epileptic Brain

机译:警惕性变化对癫痫脑高频振荡发生率的影响

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Recent studies show that the rate of cortical high frequency oscillations (HFOs) differentiates epileptogenic tissue in individuals with epilepsy. However, HFO occurrence can vary widely with vigilance state. In this study we attempt to characterize this variation, which has implications for the choice of a suitable diagnostic baseline for spatiotemporal analysis of HFO activity. We analyzed simultaneous recordings of the scalp electroencephalogram (EEG) and the electrocorticogram (ECoG) to examine the correlation of HFO activity with vigilance state. We detected HFOs (80-500 Hz) from all bipolar ECoG derivations using the well-known Staba algorithm in ten seizure-free overnight recordings from five patients being evaluated for surgery. In addition, we classified EEG features using a linkage tree into four vigilance states representing gradations in sleep depth from wakefulness to slow wave sleep. Finally, we examined the correlation between vigilance state and HFO occurrence in the five channels with the most HFOs in each recording. The proportion of 30-s epochs containing HFOs was found to increase significantly with sleep depth (p<;0.01). Further analysis is necessary to examine the effects of epoch length and sample size in the choice of diagnostic baseline.
机译:最近的研究表明,皮层高频振荡(HFO)的速率可以区分癫痫患者的癫痫发生组织。但是,HFO的发生会随着警惕状态的不同而大不相同。在这项研究中,我们试图表征这种变异,这对选择合适的诊断基线进行HFO活性的时空分析具有影响。我们分析了同时记录的头皮脑电图(EEG)和脑电图(ECoG),以检查HFO活动与警惕状态的相关性。我们使用众所周知的Staba算法从所有双极ECoG派生物中检测了HFO(80-500 Hz),来自五名接受手术评估的患者的十次无癫痫发作的夜间记录。此外,我们使用链接树将脑电图特征分为四个警觉状态,这些状态表示从清醒到慢波睡眠的睡眠深度等级。最后,我们检查了在每个记录中HFO最多的五个通道中警惕状态与HFO发生之间的相关性。发现含有HFO的30 s纪元的比例随着睡眠深度的增加而显着增加(p <; 0.01)。在选择诊断基线时,有必要进行进一步分析以检查时期长度和样本量的影响。

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