Role of multiple-scale modeling of epilepsy in seizure forecasting.
Role of multiple-scale modeling of epilepsy in seizure forecasting.
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DOI：
10.1097/wnp.0000000000000149
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发表时间：
2015-06
期刊：
影响因子：
--
通讯作者：
Schiff SJ
中科院分区：
文献类型：
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作者：
Kuhlmann L;Grayden DB;Wendling F;Schiff SJ
在过去的三十年里，开发了一些缉获预测或预报方法。虽然主要的成就是关于所提出的算法的统计评价，它被认为是进一步的进展仍然是必要的患者的临床应用。生理动机的缺乏可以部分解释这种局限性。因此，一个自然的问题是：癫痫的计算模型可以用来改善这些方法吗？在这里，我们回顾了文献的多尺度神经模型的癫痫和使用这种模型来推断癫痫和癫痫发作的生理变化。我们认为这些方法可以应用于推进最先进的癫痫发作预测。
Over the past three decades, a number of seizure prediction, or forecasting, methods have been developed. Although major achievements were accomplished regarding the statistical evaluation of proposed algorithms, it is recognized that further progress is still necessary for clinical application in patients. The lack of physiological motivation can partly explain this limitation. Therefore, a natural question is raised: can computational models of epilepsy be used to improve these methods? Here we review the literature on the multiple-scale neural modelling of epilepsy and the use of such models to infer physiological changes underlying epilepsy and epileptic seizures. We argue how these methods can be applied to advance the state-of-the-art in seizure forecasting.