癫痫的计算模型
Computational Models For Epilepsy
摘要：
癫痫是一种以反复发作和自发性发作为特征的神经系统疾病。它影响到全世界约5000万人。在大多数情况下，可以在不使用任何先进技术的情况下对疾病进行准确诊断，并通过定期使用抗癫痫药物的标准治疗来控制癫痫发作。然而，大约30%的患者患有医学难治性癫痫，其中癫痫发作不能通过使用抗癫痫药物来控制。了解这些形式的耐药性癫痫发作的机制和替代有效的治疗策略的发展是现代癫痫研究的一个基本挑战。在这种情况下，需要采取综合办法，将各种治疗策略结合起来。近年来，计算建模作为解决癫痫现象复杂性的重要工具已经变得突出。在这篇综述文章中，我们提出了一个调查不同的计算模型癫痫和讨论如何计算机模型可以帮助我们理解癫痫的大脑机制和新的癫痫治疗方案的发展。
英文摘要：
Epilepsy is a neurological disease characterized by recurrent and spontaneous seizures. It affects approximately 50 million people worldwide. In majority of the cases accurate diagnosis of the disease can be made without using any technologically advanced techniques and seizures are controlled using standard treatment in the form of regular use of anti-epileptic drugs. However, approximately 30% of the patients suffer from medically refractory epilepsy, wherein seizures are not controlled by the use of anti-epileptic drugs. Understanding the mechanisms underlying these forms of drug resistant epileptic seizures and the development of alternative effective treatment strategies is a fundamental challenge in modern epilepsy research. In this context, the need for integrative approaches combining various modalities of treatment strategies is high. Computational modeling has gained prominence in recent years as an important tool for tackling the complexity of the epileptic phenomenon. In this review article we present a survey of different computational models for epilepsy and discuss how computer models can aid in our understanding of brain mechanisms in epilepsy and the development of new epilepsy treatment protocols.
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