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Changes of dimension of EEG/ECoG nonlinear dynamics predict epileptogenesis and therapy outcomes

机译:EEG / ECOG非线性动力学维度的变化预测癫痫发生和治疗结果

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The lack of early biomarkers of epileptogenesis precludes a sound prediction of epilepsy development after acute brain injuries and of the natural course of the disease thus impairing the development of antiepileptogenic treatments. We investigated whether the dimensional changes of nonlinear dynamics in EEG/ECoG signals, that were recorded in the early aftermath of different epileptogenic injuries, provide a measure to be exploited as a sensitive prognostic and predictive biomarker for epilepsy. Using three different models of epilepsy in two rodent species, we report a common and significant decrease of nonlinear dynamics dimension in EEG/ECoG tracings during early epileptogenesis. In particular, the magnitude of this dimensional decrease predicts the severity of ensuing epilepsy, and this measure is modulated by disease-modifying or antiepileptogenic treatments. The broad application of EEG/ECoG monitoring in epilepsy underlines the translational value of these findings for enriching the population of patients at risk for developing epilepsy in clinical investigations.
机译:缺乏癫痫发育的早期生物标志物禁止急性脑损伤和疾病的自然过程后对癫痫发育的声音预测,从而损害抗癫痫药物的发展。我们调查了在不同癫痫造成伤害的早期脑电图中记录的IEG / ECOG信号中非线性动力学的尺寸变化提供了一种衡量作为癫痫的敏感预后和预测生物标志物的措施。在两种啮齿动物物种中使用三种不同模型的癫痫模型,在早期癫痫发生期间,在EEG / ECOG追踪中报告了非线性动力学维度的共同和显着降低。特别地,这种尺寸减少的幅度预测随后的癫痫的严重程度,并且这种措施被疾病改性或抗癫痫药物调节。 EEG / ECOG监测在癫痫中的广泛应用强调了这些结果的翻译价值,以富集临床调查中癫痫发育癫痫患者的风险。

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