Future of seizure prediction and intervention: closing the loop.
Future of seizure prediction and intervention: closing the loop.
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DOI：
10.1097/wnp.0000000000000139
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发表时间：
2015-06
期刊：
影响因子：
--
通讯作者：
Netoff TI
中科院分区：
文献类型：
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作者：
Nagaraj V;Lee ST;Krook-Magnuson E;Soltesz I;Benquet P;Irazoqui PP;Netoff TI
癫痫治疗的最终目标是为所有患者提供癫痫控制，同时消除副作用。通过按需方法提高干预的特异性可以克服当前干预策略的许多局限性。本文综述了癫痫发作预测和检测方面的进展，潜在的新疗法，以提供更好的特异性，以及实现这些目标的设备。具体来说，我们讨论了1)癫痫检测和预测的潜在信号模式和算法，2)闭环干预方法，以及3)实现这些算法和干预的硬件。癫痫发作预测和治疗通过提高特异性来最大限度地提高疗效，同时最大限度地减少副作用，这可能代表癫痫治疗的未来。
The ultimate goal of epilepsy therapies is to provide seizure control for all patients while eliminating side effects. Improved specificity of intervention through on-demand approaches may overcome many of the limitations of current intervention strategies. This article reviews progress in seizure prediction and detection, potential new therapies to provide improved specificity, and devices to achieve these ends. Specifically, we discuss 1) potential signal modalities and algorithms for seizure detection and prediction, 2) closed-loop intervention approaches, and 3) hardware for implementing these algorithms and interventions. Seizure prediction and therapies maximize efficacy while minimizing side-effects through improved specificity may represent the future of epilepsy treatments.