Cyber Systems: Closed-Loop Control of Brain Dynamics in Epilepsy

网络系统：癫痫镜下脑动力学的闭环控制和智力价值。本研究的目的是开发通过电刺激改变大脑动力学来抑制癫痫发作的反馈控制器。先前的研究表明，耦合非线性振荡器网络中的空间同步与癫痫大脑中向癫痫发作的过渡之间存在定性相似性。该方法是使用反馈解耦控制，已在仿真研究中证明，以实现振荡器动力学的去同步和防止类似癫痫发作的行为。它依赖于适合控制的数学模型，这些模型描述了对大脑的电刺激和大脑动力学空间同步的选择测量之间的关键输入-输出关系。将开发系统的实验和计算程序，用于设计和测试动物受试者（癫痫大鼠）的癫痫预防控制器。更广泛的好处。预期更广泛的好处包括解决混沌系统控制中的非标准问题，非线性信号处理，以及尚未开发的生物工程和电气工程应用。这项研究的结果，如果成功，将有助于癫痫治疗的新模式。此外，该研究可能为医学和神经科学的新应用提供数据，并证明是通过深部脑刺激控制帕金森震颤、偏头痛、睡眠障碍和其他脑动力障碍的重要一步。因此，拟议的研究有可能对生物医学技术和相关的经济增长做出重要贡献。

Cyber Systems: Closed-Loop Control of Brain Dynamics in EpilepsyScope and Intellectual Merit. The objective of this research is to develop feedback controllers for the suppression of epileptic seizures by altering the brain dynamics through the use of electrical stimulation. It is motivated by prior work indicating qualitative similarities between spatial synchronization in networks of coupled nonlinear oscillators and the transition to seizures in the epileptic brain. The approach is to use feedback decoupling control that has been demonstrated in simulation studies to achieve desynchronization of the oscillator dynamics and prevent seizure-like behavior. It relies on suitable for control mathematical models that describe the key input-output relationships between administered electrical stimuli to the brain and selected measures of spatial synchronization of brain dynamics. Systematic experimental and computational procedures will be developed for the design and testing of seizure prevention controllers in animal subjects (epileptic rats). Broader Benefits. Expected broader benefits range from the solution of nonstandard problems in the control of chaotic systems, to nonlinear signal processing, to yet untapped applications in bioengineering and electrical engineering. Results from this research, if successful, will contribute to new modalities for treatment of epilepsy. Furthermore, this research may provide data for new applications in medicine and neuroscience, and prove to be one essential step towards the control by deep brain stimulation of Parkinsons tremors, migraines, sleep disorders and other brain dynamical disorders. Therefore, the proposed research has the potential to make essential contributions to biomedical technology and the associated economic growth.