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首页> 外文会议>2011 5th International IEEE/EMBS Conference on Neural Engineering >Closed-loop seizure prediction and prevention in rats with kainate-induced seizures
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Closed-loop seizure prediction and prevention in rats with kainate-induced seizures

机译：海藻酸盐诱发性癫痫大鼠的闭环癫痫发作预测与预防

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Many studies have shown that continuous or intermittent electrical stimulation of the brain can reduce or prevent the occurrence of epileptic seizures in humans and animal models. However, there have been relatively few studies that assess the effects of stimulation delivered just prior to seizure onset. Here we use a kainate-induced seizure model in the rat to test a closed-loop seizure prediction and prevention system. An algorithm was created that extracts a measure from the activity of populations of single neurons, and predicts the probability of a seizure in real time. Once a seizure is predicted, high frequency current pulses are applied to the hippocampus to attempt to inhibit the network and prevent the seizure from occurring. Results show that although not every seizure could be prevented, the majority of stimulation trials delayed or prevented a pending seizure. These results suggest that a closed-loop seizure prediction algorithm based on neuronal activity coupled with intracranial stimulation may be more effective than random stimulation at preventing the onset of seizures.
机译：许多研究表明，对人和动物模型进行连续或间歇性的脑电刺激可以减少或预防癫痫发作的发生。但是，很少有研究评估癫痫发作之前所施加刺激的效果。在这里，我们在大鼠中使用海藻酸盐诱发的癫痫发作模型来测试闭环癫痫发作预测和预防系统。创建了一种算法，该算法从单个神经元群体的活动中提取度量，并实时预测癫痫发作的可能性。一旦预测到癫痫发作，就将高频电流脉冲施加到海马上，以试图抑制网络并防止癫痫发作的发生。结果表明，尽管并非可以预防所有癫痫发作，但大多数刺激试验都延迟或预防了未决的癫痫发作。这些结果表明，基于神经元活动结合颅内刺激的闭环癫痫发作预测算法在预防癫痫发作方面可能比随机刺激更为有效。

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