Manipulating epileptiform bursting in the rat hippocampus using chaos control and adaptive techniques.

Manipulating epileptiform bursting in the rat hippocampus using chaos control and adaptive techniques.
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使用混沌控制和自适应技术操纵大鼠海马的癫痫样爆发。

DOI:
10.1109/tbme.2003.810701
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发表时间:
2003
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
通讯作者:
Mogul,DavidJ
Mogul,DavidJ
中科院分区:
--
文献类型:
--
作者:
Slutzky,MarcW;Cvitanovic,Predrag;Mogul,DavidJ

文献摘要

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癫痫是一种相对常见的疾病,困扰着1%-2%的人口,但许多癫痫患者没有得到充分的帮助,目前的药物治疗。最近的报告表明,混沌控制技术可能是有用的电操纵癫痫样的爆发行为在体外,并可能导致一种替代方法,以防止癫痫发作。我们实现了混沌控制的自发爆发在大鼠海马脑片使用强大的控制技术:稳定的流形布局(SMP)和自适应跟踪(AT)算法,旨在克服非平稳性。我们研究了几个因素的影响,包括控制半径的大小和突触可塑性,控制效能。AT改善了基本SMP控制的控制功效,但相对频繁的刺激仍然是必要的,并且仅在短暂的拉伸中实现了非常严格的控制。提出了一种新的方法,通过强迫系统直接进入周期1轨道来验证噪声系统中的周期1轨道检测。这种强迫分析表明,周期1轨道确实存在,但由于高噪声水平和非平稳性,控制将是困难的。在海马体的调节输入仍然完好无损的情况下,体内的噪音实际上可能更低。因此,使用混沌控制算法来预防癫痫发作仍然是可行的。
Epilepsy is a relatively common disease, afflicting 1%-2% of the population, yet many epileptic patients are not sufficiently helped by current pharmacological therapies. Recent reports have suggested that chaos control techniques may be useful for electrically manipulating epileptiform bursting behavior in vitro and could possibly lead to an alternative method for preventing seizures. We implemented chaos control of spontaneous bursting in the rat hippocampal slice using robust control techniques: stable manifold placement (SMP) and an adaptive tracking (AT) algorithm designed to overcome nonstationarity. We examined the effect of several factors, including control radius size and synaptic plasticity, on control efficacy. AT improved control efficacy over basic SMP control, but relatively frequent stimulation was still necessary and very tight control was only achieved for brief stretches. A novel technique was developed for validating period-1 orbit detection in noisy systems by forcing the system directly onto the period-1 orbit. This forcing analysis suggested that period-1 orbits were indeed present but that control would be difficult because of high noise levels and nonstationarity. Noise might actually be lower in vivo, where regulatory inputs to the hippocampus are still intact. Thus, it may still be feasible to use chaos control algorithms for preventing epileptic seizures.