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癫痫发作预测:漫长曲折道路上的分岔口。

Seizure forecasting: Bifurcations in the long and winding road.

机构信息

Sleep-Wake-Epilepsy Center, Center for Experimental Neurology, NeuroTec, Department of Neurology, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland.

Wyss Center for Bio- and Neuro-Engineering, Geneva, Switzerland.

出版信息

Epilepsia. 2023 Dec;64 Suppl 4(Suppl 4):S78-S98. doi: 10.1111/epi.17311. Epub 2022 Jul 1.

Abstract

To date, the unpredictability of seizures remains a source of suffering for people with epilepsy, motivating decades of research into methods to forecast seizures. Originally, only few scientists and neurologists ventured into this niche endeavor, which, given the difficulty of the task, soon turned into a long and winding road. Over the past decade, however, our narrow field has seen a major acceleration, with trials of chronic electroencephalographic devices and the subsequent discovery of cyclical patterns in the occurrence of seizures. Now, a burgeoning science of seizure timing is emerging, which in turn informs best forecasting strategies for upcoming clinical trials. Although the finish line might be in view, many challenges remain to make seizure forecasting a reality. This review covers the most recent scientific, technical, and medical developments, discusses methodology in detail, and sets a number of goals for future studies.

摘要

迄今为止,癫痫患者仍深受癫痫发作不可预测性之苦,这促使数十年来人们不断研究预测癫痫发作的方法。最初,只有少数科学家和神经学家涉足这一利基领域,鉴于任务的艰巨性,这很快变成了一条漫长而曲折的道路。然而,在过去十年中,我们这个狭窄的领域取得了重大进展,慢性脑电图设备的试验以及随后发现癫痫发作发生的周期性模式。现在,一门新兴的癫痫发作时间科学正在出现,这反过来又为即将到来的临床试验提供了最佳预测策略。尽管终点线可能在望,但要使癫痫预测成为现实,仍有许多挑战。这篇综述涵盖了最新的科学、技术和医学进展,详细讨论了方法,并为未来的研究设定了若干目标。

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本文引用的文献

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Learning to generalize seizure forecasts.学习泛化癫痫预测。
Epilepsia. 2023 Dec;64 Suppl 4:S99-S113. doi: 10.1111/epi.17406. Epub 2022 Sep 22.
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Seizure Forecasting: Patient and Caregiver Perspectives.癫痫发作预测:患者及护理人员的观点。
Front Neurol. 2021 Sep 20;12:717428. doi: 10.3389/fneur.2021.717428. eCollection 2021.
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