P043 Institute of Psychiatry, King's College London, De Crespigny Park, London SE5 8AF, UK.
Prog Biophys Mol Biol. 2011 Mar;105(1-2):5-13. doi: 10.1016/j.pbiomolbio.2010.09.019. Epub 2010 Sep 26.
Epilepsy is a common and disabling disorder which fails to respond to drug treatment in about 30% of cases. The key feature of epilepsy is the apparently unexpected occurrence of seizures, accompanied by typical high-amplitude synchronised oscillations recorded with scalp electroencephalogram (EEG), or occasionally with intracranial EEG in patients undergoing neurosurgery. A wide variety of theoretical and computational models of epilepsy has provided some insights into how seizures might emerge. However, these models have mostly been based on classical EEG phenomena and experimental animal models, and may not capture all the relevant features of human epilepsy. In particular, evidence has accumulated showing that very localised high-frequency oscillations may be characteristic of seizure onsets, and that seizure susceptibility fluctuates at long timescales of hours or days. These aspects are discussed from a cross-disciplinary perspective, with the aim that future collaborations between theoreticians, experimentalists and clinicians may greatly improve seizure models and the future treatment of this devastating disorder.
癫痫是一种常见且使人丧失能力的疾病，大约有 30%的病例对药物治疗没有反应。癫痫的主要特征是癫痫发作的明显意外发生，伴随着头皮脑电图（EEG）记录的典型高振幅同步振荡，或者在接受神经外科手术的患者中偶尔会出现颅内 EEG。各种理论和计算模型的癫痫提供了一些关于癫痫发作如何出现的见解。然而，这些模型主要基于经典的 EEG 现象和实验动物模型，可能无法捕捉到人类癫痫的所有相关特征。特别是，有证据表明，非常局部的高频振荡可能是癫痫发作的特征，而且癫痫易感性在数小时或数天的长时间尺度上波动。从跨学科的角度讨论了这些方面，目的是未来理论学家、实验家和临床医生之间的合作可以极大地改进癫痫发作模型和这种破坏性疾病的未来治疗。
