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Seizures Start without Common Signatures of Critical Transition

机译:癫痫发作开始时没有关键转变的共同特征

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摘要

Complex dynamical systems may exhibit sudden autonomous changes from one state to another. Such changes that occur rapidly in comparison to the regular dynamics have been termed critical transitions. Examples of such phenomena can be found in many complex systems: changes in climate and ocean circulation, changes in wildlife populations, financial crashes, as well as in medical conditions like asthma attacks and depression. It has been recognized that critical transitions, even if they arise in completely different contexts and situations, share several common attributes and also generic early-warning signals that indicate that a critical transition is approaching. In the present study, we review briefly the general characteristics that have been observed in systems prior to critical transitions and apply these general indicators to nearly 300 epileptic seizures collected from human subjects using invasive EEG. Only in about 8% of the patients was evidence of critical transitions found. In the remaining majority of cases no early warning signals that behaved consistently prior to seizures were observed. These results do not rule out the possibility of critical transitions to seizure but point to limited relevance of their early warning signals in the context of human epilepsy observed using intracranial EEG recordings.
机译:复杂的动力学系统可能会表现出从一种状态到另一种状态的突然自治变化。与常规动力学相比迅速发生的这种变化被称为临界过渡。在许多复杂的系统中都可以找到这种现象的例子:气候和海洋环流的变化,野生动植物种群的变化,经济崩溃以及哮喘和抑郁症等医疗状况。人们已经认识到,即使临界过渡发生在完全不同的环境和情况下,它们也具有几个共同的属性,并且还具有通用的预警信号,这些信号表明即将发生临界过渡。在本研究中,我们简要回顾了在关键转变之前在系统中观察到的一般特征,并将这些一般指标应用于使用侵入性脑电图从人类受试者中收集的近300种癫痫发作。仅在约8%的患者中发现了关键性转变的证据。在其余大多数病例中,未观察到癫痫发作前表现始终如一的预警信号。这些结果并未排除癫痫发作关键过渡的可能性,但指出在使用颅内EEG记录观察到的人类癫痫的背景下,其早期预警信号的相关性有限。

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