Department of Basic & Clinical Neuroscience, King's College London, London, UK.
UNEEG medical, Lynge, Denmark.
Epilepsia. 2020 Sep;61(9):1805-1817. doi: 10.1111/epi.16630. Epub 2020 Aug 27.
Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus suboptimal quality in epilepsy management. The limitations of existing hospital- and home-based monitoring solutions are motivating the development of minimally invasive, subscalp, implantable electroencephalography (EEG) systems with accompanying cloud-based software. This new generation of ultra-long-term brain monitoring systems is setting expectations for a sea change in the field of clinical epilepsy. From definitive diagnoses and reliable seizure logs to treatment optimization and presurgical seizure foci localization, the clinical need for continuous monitoring of brain electrophysiological activity in epilepsy patients is evident. This paper presents the converging solutions developed independently by researchers and organizations working at the forefront of next generation EEG monitoring. The immediate value of these devices is discussed as well as the potential drivers and hurdles to adoption. Additionally, this paper discusses what the expected value of ultra-long-term EEG data might be in the future with respect to alarms for especially focal seizures, seizure forecasting, and treatment personalization.
不准确的主观癫痫发作计数会带来治疗和诊断方面的挑战,从而导致癫痫管理的质量不佳。现有的医院和家庭监测解决方案存在局限性,这促使人们开发了微创、皮下、植入式脑电图 (EEG) 系统,并配备了基于云的软件。这新一代超长期脑监测系统有望彻底改变临床癫痫领域。从明确诊断和可靠的癫痫发作记录,到治疗优化和术前癫痫灶定位,癫痫患者持续监测脑电生理活动的临床需求显而易见。本文介绍了研究人员和处于下一代 EEG 监测前沿的组织各自独立开发的融合解决方案。本文还讨论了这些设备的即时价值,以及采用这些设备的潜在驱动力和障碍。此外,本文还讨论了在超长期 EEG 数据方面,未来可能会在特别针对局灶性癫痫发作、癫痫发作预测和治疗个体化方面实现的预期价值。