Institute of Neuroscience and Medicine, Research Center Jülich, Germany.
Restor Neurol Neurosci. 2009;27(6):589-609. doi: 10.3233/RNN-2009-0484.
Different stimulation techniques are introduced which specifically modulate the slow synaptic dynamics in a neuronal network model of the subthalamic nucleus with activity dependent synaptic plasticity.
A modeling approach is utilized to investigate the effects of the different stimulation techniques. In particular, the short-term and long-term outcome is studied in a mathematical model for a population of bursting STN neurons subject to synaptic plasticity with symmetric spike timing characteristics. In our mathematical model in the absence of stimulation synchronized network states with strong connectivity (modeling disease states) as well as desynchronized states with weak connectivity (modeling healthy states) are stable.
We demonstrate that different stimulation techniques induce an anti-kindling by shifting the target population to a weakly connected, desynchronized state. Intriguingly, long-term anti-kindling can even be achieved although during stimulus delivery the neuronal synchrony hardly decreases or even slightly increases. The therapeutic index and the impact of inhibition, calculated to compare the different stimulation techniques, indicate that coordinated rest stimulation might be particularly robust and reliable.
The presented stimulation strategies and the results of our modeling study might have strong implications in the context of deep brain stimulation.
引入了不同的刺激技术,这些技术可以特异性地调节具有活动依赖性突触可塑性的丘脑底核神经元网络模型中的慢突触动力学。
利用建模方法来研究不同刺激技术的效果。具体来说,在受对称尖峰定时特征的突触可塑性影响的爆发性 STN 神经元群体的数学模型中,研究了短期和长期的结果。在我们的数学模型中,在没有刺激的情况下,具有强连接的同步网络状态(模拟疾病状态)以及具有弱连接的去同步状态(模拟健康状态)是稳定的。
我们证明,不同的刺激技术通过将目标群体转移到弱连接、去同步的状态来诱导抗点燃。有趣的是,即使在刺激传递过程中神经元同步性几乎没有降低甚至略有增加,也可以实现长期的抗点燃。为了比较不同的刺激技术而计算的治疗指数和抑制影响表明,协调的休息刺激可能特别稳健和可靠。
提出的刺激策略和我们的建模研究结果可能对深部脑刺激具有重要意义。