Pacia Steven V
Zucker School of Medicine at Hofstra-Northwell, Neurology Northwell Health, 611 Northern Blvd, Great Neck, New York, NY 11021, USA.
Brain Sci. 2023 Aug 8;13(8):1176. doi: 10.3390/brainsci13081176.
Sub-scalp Implantable Telemetric EEG (SITE) devices are under development for the treatment of epilepsy. However, beyond epilepsy, continuous EEG analysis could revolutionize the management of patients suffering from all types of brain disorders. This article reviews decades of foundational EEG research, collected from short-term routine EEG studies of common neurological and behavioral disorders, that may guide future SITE management and research. Established quantitative EEG methods, like spectral EEG power density calculation combined with state-of-the-art machine learning techniques applied to SITE data, can identify new EEG biomarkers of neurological disease. From distinguishing syncopal events from seizures to predicting the risk of dementia, SITE-derived EEG biomarkers can provide clinicians with real-time information about diagnosis, treatment response, and disease progression.
头皮下植入式遥测脑电图（SITE）设备正在研发用于治疗癫痫。然而，除癫痫外，持续脑电图分析可能会彻底改变各类脑部疾病患者的管理方式。本文回顾了数十年来从常见神经和行为障碍的短期常规脑电图研究中收集的基础脑电图研究，这些研究可能会为未来的SITE管理和研究提供指导。既定的定量脑电图方法，如频谱脑电图功率密度计算结合应用于SITE数据的先进机器学习技术，可以识别神经疾病的新脑电图生物标志物。从区分晕厥事件和癫痫发作到预测痴呆风险，源自SITE的脑电图生物标志物可以为临床医生提供有关诊断、治疗反应和疾病进展的实时信息。
