Patient-Specific Adaptive Closed-Loop Neurostimulation for Optimum Treatment of Intractable Epilepsy

大脑细胞群的协调活动，可以通过测量同步来评估，是适应性信息处理的基础，并涉及各种认知功能，如感觉运动整合，知觉意识和记忆。有证据表明，大脑活动的异常同步模式与精神分裂症、自闭症、阿尔茨海默病、帕金森病、癫痫和某些类型的成瘾等疾病有关。神经振荡之间的同步测量是大脑状态的重要指标，无论是正常的还是病理的。锁相估计是一种量化神经同步的常用方法。我们建议使用我们已经开发的用于自动癫痫控制的微型植入式神经刺激系统。它执行：(1)慢性脑监测以提取皮层和脑深部信号的锁相特征，(2)使用植入人工智能算法早期检测患者特异性癫痫发作，以及(3)癫痫性流产的最佳自适应反应性神经刺激。对于不适合手术切除的顽固性癫痫患者，该系统可能是唯一的治疗选择。

The coordinated activity of brain cell ensembles, that can be assessed by measuring synchronization, is fundamental foradaptive information processing and is involved in a variety of cognitive functions such as sensorimotor integration,perceptual awareness and memory. There is evidence that abnormal synchronized patterns of brain activity are associatedwith disorders such as schizophrenia, autism, Alzheimers disease, Parkinsons disease, epilepsy and certain types ofaddiction. A measure of synchronization between neural oscillations is an important indicator of a brain state, whethernormal or pathological. Estimation of phase locking has emerged as a popular method of quantifying neural synchronization.We propose to use a miniature implantable neurostimulation system that we have already developed for automated seizurecontrol. It performs: (1) chronic brain monitoring to extract phase locking features of cortical and deep-brain signals, (2) earlydetection of patient-specific seizures using in-implant artificial intelligence algorithms, and (3) optimal adaptive responsiveneural stimulation for seizure abortion. The system could represent the only treatment option for intractable epilepsy patientswho are not suitable for surgical recession.