Cyber Systems: Closed-Loop Control of Brain Dynamics in Epilepsy
网络系统:癫痫大脑动力学的闭环控制
基本信息
- 批准号:0601740
- 负责人:
- 金额:$ 24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-06-01 至 2010-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
网络系统:癫痫和智力优点中大脑动力学的闭环控制。本研究的目的是开发反馈控制器,通过使用电刺激改变大脑动力学来抑制癫痫发作。它的动机是以前的工作表明耦合非线性振荡器网络中的空间同步和癫痫发作的大脑中的过渡之间的定性相似性。该方法是使用反馈解耦控制,已被证明在仿真研究中,以实现descruisation的振荡器动态和防止类似的行为。它依赖于适合于控制的数学模型,该模型描述了对大脑的电刺激与大脑动力学的空间同步的选定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,用于动物受试者(癫痫大鼠)的癫痫发作预防控制器的设计和测试。更广泛的利益。预期更广泛的好处范围从混沌系统控制中的非标准问题的解决方案,非线性信号处理,尚未开发的应用在生物工程和电气工程。这项研究的结果,如果成功,将有助于治疗癫痫的新模式。此外,这项研究可能为医学和神经科学的新应用提供数据,并被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,拟议的研究有可能为生物医学技术和相关的经济增长做出重要贡献。
项目成果
期刊论文数量(0)
专著数量(0)
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Konstantinos Tsakalis其他文献
A Control-Theoretic Approach for Efficient Design of Filters in DAC and Digital Audio Amplifiers
- DOI:
10.1007/s00034-010-9231-3 - 发表时间:
2010-11-17 - 期刊:
- 影响因子:2.000
- 作者:
Konstantinos Tsakalis;Nikolaos Vlassopoulos;George Lentaris;Dionysios Reisis - 通讯作者:
Dionysios Reisis
Konstantinos Tsakalis的其他文献
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{{ truncateString('Konstantinos Tsakalis', 18)}}的其他基金
I-Corps: Epileptic Seizure Detection System
I-Corps:癫痫发作检测系统
- 批准号:
1747974 - 财政年份:2017
- 资助金额:
$ 24万 - 项目类别:
Standard Grant
Epileptogenic Focus Localization and Closed-loop Control of Brain Dynamics in Epilepsy
癫痫病灶定位和脑动力学闭环控制
- 批准号:
1102390 - 财政年份:2011
- 资助金额:
$ 24万 - 项目类别:
Continuing Grant
Research Initiation Award: Parameter Estimation in Adaptive Control
研究启动奖:自适应控制中的参数估计
- 批准号:
9111346 - 财政年份:1991
- 资助金额:
$ 24万 - 项目类别:
Standard Grant
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