Suppr超能文献

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。

相似文献

1
Seizure forecasting: Bifurcations in the long and winding road.
Epilepsia. 2023 Dec;64 Suppl 4(Suppl 4):S78-S98. doi: 10.1111/epi.17311. Epub 2022 Jul 1.
2
Seizure forecasting and cyclic control of seizures.
Epilepsia. 2021 Feb;62 Suppl 1:S2-S14. doi: 10.1111/epi.16541. Epub 2020 Jul 26.
3
Forecasting seizure risk in adults with focal epilepsy: a development and validation study.
Lancet Neurol. 2021 Feb;20(2):127-135. doi: 10.1016/S1474-4422(20)30396-3. Epub 2020 Dec 17.
4
Seizure forecasting: Where do we stand?
Epilepsia. 2023 Dec;64 Suppl 3(Suppl 3):S62-S71. doi: 10.1111/epi.17546. Epub 2023 Mar 8.
5
Learning to generalize seizure forecasts.
Epilepsia. 2023 Dec;64 Suppl 4:S99-S113. doi: 10.1111/epi.17406. Epub 2022 Sep 22.
6
Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models.
Epilepsia. 2023 Dec;64 Suppl 4(Suppl 4):S124-S133. doi: 10.1111/epi.17252. Epub 2022 Apr 16.
7
Seizure occurrence is linked to multiday cycles in diverse physiological signals.
Epilepsia. 2023 Jun;64(6):1627-1639. doi: 10.1111/epi.17607. Epub 2023 Apr 20.
8
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic.
Front Neurol. 2021 Jul 13;12:690404. doi: 10.3389/fneur.2021.690404. eCollection 2021.
9
Seizure Forecasting by High-Frequency Activity (80-170 Hz) in Long-term Continuous Intracranial EEG Recordings.
Neurology. 2022 Jul 25;99(4):e364-e375. doi: 10.1212/WNL.0000000000200348.
10
Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data.
Int J Neural Syst. 2021 Sep;31(9):2150039. doi: 10.1142/S0129065721500398. Epub 2021 Jul 31.

引用本文的文献

1
Short-horizon neonatal seizure prediction using EEG-based deep learning.
PLOS Digit Health. 2025 Jul 11;4(7):e0000890. doi: 10.1371/journal.pdig.0000890. eCollection 2025 Jul.
3
Seizure Detection Devices.
J Clin Med. 2025 Jan 28;14(3):863. doi: 10.3390/jcm14030863.
4
Multi-perspective characterization of seizure prediction based on microstate analysis.
Front Neurosci. 2024 Nov 19;18:1474782. doi: 10.3389/fnins.2024.1474782. eCollection 2024.
5
Necessary for seizure forecasting outcome metrics: Seizure frequency and benchmark model.
Epilepsy Res. 2024 Dec;208:107474. doi: 10.1016/j.eplepsyres.2024.107474. Epub 2024 Nov 8.
6
Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy.
Epilepsia. 2025 Jan;66(1):89-103. doi: 10.1111/epi.18163. Epub 2024 Nov 4.
7
The critical dynamics of hippocampal seizures.
Nat Commun. 2024 Aug 13;15(1):6945. doi: 10.1038/s41467-024-50504-9.
8
Hippocampal network activity forecasts epileptic seizures.
Nat Med. 2024 Oct;30(10):2787-2790. doi: 10.1038/s41591-024-03149-6. Epub 2024 Jul 12.
9
Epileptic seizure forecasting with wearable-based nocturnal sleep features.
Epilepsia Open. 2024 Oct;9(5):1793-1805. doi: 10.1002/epi4.13008. Epub 2024 Jul 9.
10
Addressing data limitations in seizure prediction through transfer learning.
Sci Rep. 2024 Jun 19;14(1):14169. doi: 10.1038/s41598-024-64802-1.

本文引用的文献

1
Learning to generalize seizure forecasts.
Epilepsia. 2023 Dec;64 Suppl 4:S99-S113. doi: 10.1111/epi.17406. Epub 2022 Sep 22.
2
Thalamic deep brain stimulation modulates cycles of seizure risk in epilepsy.
Sci Rep. 2021 Dec 20;11(1):24250. doi: 10.1038/s41598-021-03555-7.
3
4
Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study.
EBioMedicine. 2021 Oct;72:103619. doi: 10.1016/j.ebiom.2021.103619. Epub 2021 Oct 11.
5
Seizure Forecasting: Patient and Caregiver Perspectives.
Front Neurol. 2021 Sep 20;12:717428. doi: 10.3389/fneur.2021.717428. eCollection 2021.
6
Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System.
Front Neurol. 2021 Aug 23;12:713794. doi: 10.3389/fneur.2021.713794. eCollection 2021.
7
Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy.
Sci Transl Med. 2021 Aug 25;13(608). doi: 10.1126/scitranslmed.abf6588.
8
Anterior nucleus of the thalamus seizure detection in ambulatory humans.
Epilepsia. 2021 Oct;62(10):e158-e164. doi: 10.1111/epi.17047. Epub 2021 Aug 21.
10
Forecasting Seizure Likelihood With Wearable Technology.
Front Neurol. 2021 Jul 15;12:704060. doi: 10.3389/fneur.2021.704060. eCollection 2021.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验