Department of Neuroscience, Mario Negri Institute for Pharmacological Research IRCCS, Milano, Italy.
Department of Pharmacology, Toxicology and Pharmacy, University of Veterinary Medicine, Hannover, Germany.
Neurobiol Dis. 2019 Apr;124:373-378. doi: 10.1016/j.nbd.2018.12.014. Epub 2018 Dec 24.
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.
癫痫发生的早期生物标志物的缺乏使得在急性脑损伤后对癫痫的发展和疾病的自然病程进行准确预测成为不可能，从而阻碍了抗癫痫发生治疗的发展。我们研究了在不同致痫性损伤后早期记录的 EEG/ECoG 信号中的非线性动力学的维度变化是否提供了一种可被利用的敏感预后和预测癫痫的生物标志物。使用两种啮齿动物的三种不同癫痫模型，我们报告了在早期癫痫发生期间 EEG/ECoG 轨迹中的非线性动力学维度的共同且显著的降低。特别是，这种维度降低的幅度可以预测随后癫痫的严重程度，并且该测量可通过疾病修饰或抗癫痫发生的治疗来调节。EEG/ECoG 监测在癫痫中的广泛应用强调了这些发现对于在临床研究中丰富具有发展为癫痫风险的患者群体的转化价值。
