癫痫发作预测。
Seizure prediction.
机构信息
Optima Neuroscience, Inc., Gainesville, Florida, USA. jc
出版信息
Epilepsy Curr. 2008 May-Jun;8(3):55-9. doi: 10.1111/j.1535-7511.2008.00236.x.
Abstract
There is mounting evidence that seizures are preceded by characteristic changes in the EEG that are detectable minutes before seizure onset. Using novel signal analysis techniques, researchers are beginning to characterize the transition from the interictal to the ictal state in quantitative terms. This research has led to the development of automated seizure prediction algorithms. Active debate persists regarding the interpretation of research results, methods of signal analysis, as well as experimental and statistical methods for testing seizure prediction algorithms. Developments in this field have led to new theories on the mechanism of seizure development and resolution. The ability to predict seizures could lead the way to novel diagnostic and therapeutic methods for the treatment of patients with epilepsy.
摘要
越来越多的证据表明，癫痫发作前脑电图会出现特征性变化，这些变化在发作前几分钟即可检测到。研究人员使用新颖的信号分析技术，开始以定量方式描述从发作间期到发作期的转变。这项研究导致了自动癫痫发作预测算法的发展。对于研究结果的解释、信号分析方法以及用于测试癫痫发作预测算法的实验和统计方法，仍然存在激烈的争论。该领域的发展导致了关于癫痫发作发展和解决机制的新理论。预测癫痫发作的能力可能为癫痫患者的治疗开辟新的诊断和治疗方法。
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