对人类难治性癫痫动力学的新见解
Novel insights into the dynamics of intractable human epilepsy
摘要：
概率密度函数和Sz发生的概率条件下的时间过去，从以前的Sz使用的能量和间隔的SZ在长期记录与定位相关的耐药性癫痫，接受手术评价的受试者。临床和亚临床癫痫发作E和ISI分布受减少剂量的抗癫痫药物的受试者的幂律。癫痫发作前后30分钟发生Sz的概率增加，距下一次癫痫发作的时间随着自上一次癫痫发作以来无癫痫发作间期的持续时间而增加。此外，在短时间内，癫痫发作可能会引起癫痫发作。累积的经验证据表明，至少在短时间内，癫痫发作具有引发其他癫痫发作的内在能力。这可能解释了癫痫发作聚集并演变为癫痫持续状态的趋势。E和ISI的幂律分布表明这些特征缺乏典型的大小/持续时间，可能不是将阵发性活动分类为发作或发作间期的准确标准或充分标准。这种依赖性和幂律分布的存在提高了Sz发生和强度可以预测的可能性，而无需指定成功的可能性。
英文摘要：
Probability density functions and the probability of Sz occurrence conditional upon the time elapsed from the previous Sz were estimated using the energy and intervals of SZ in prolonged recordings from subjects with localization- related pharmaco-resistant epilepsy, undergoing surgical evaluation. Clinical and subclinical seizure E and ISI distributions are governed by power laws in subjects on reduced doses of anti-seizure drugs. There is increased probability of Sz occurrence 30 minutes before and after a seizure and the time to next seizure increases with the duration of the seizure-free interval since the last one. Also, over short time scales, ``seizures may beget seizures.'' The cumulative empirical evidence is compatible with and suggests that at least over short time scales, seizures have the inherent capacity of triggering other seizures. This may explain the tendency of seizures to cluster and evolve into status epilepticus. Power law distributions of E and ISI indicate these features lack a typical size/duration and may not be accurate criteria or sufficient for classifying paroxysmal activity as ictal or interictal. This dependency and the existence of power law distributions raise the possibility that Sz occurrence and intensity may be predictable, without specifying the likelihood of success.
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