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Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network.

机译:改进了在丘脑下核-苍白球网络中产生β振荡的条件。

摘要

A key pathology in the development of Parkinson's disease is the occurrence of persistent beta oscillations, which are correlated with difficulty in movement initiation. We investigated the network model composed of the subthalamic nucleus (STN) and globus pallidus (GP) developed by A. Nevado Holgado et al. [(2010) Journal of Neuroscience, 30, 12340-12352], who identified the conditions under which this circuit could generate beta oscillations. Our work extended their analysis by deriving improved analytic stability conditions for realistic values of the synaptic transmission delay between STN and GP neurons. The improved conditions were significantly closer to the results of simulations for the range of synaptic transmission delays measured experimentally. Furthermore, our analysis explained how changes in cortical and striatal input to the STN-GP network influenced oscillations generated by the circuit. As we have identified when a system of mutually connected populations of excitatory and inhibitory neurons can generate oscillations, our results may also find applications in the study of neural oscillations produced by assemblies of excitatory and inhibitory neurons in other brain regions.
机译:帕金森氏病发展的关键病理是持续的β振荡的发生,这与运动开始的困难有关。我们研究了由A. Nevado Holgado等人开发的丘脑下核(STN)和苍白球(GP)组成的网络模型。 [(2010)Journal of Neuroscience,30,12340-12352],他确定了该电路可能产生β振荡的条件。我们的工作通过为STN和GP神经元之间的突触传递延迟的现实值得出改进的分析稳定性条件来扩展其分析。改善的条件明显更接近于通过实验测量的突触传递延迟范围的模拟结果。此外,我们的分析解释了STN-GP网络的皮质和纹状体输入变化如何影响电路产生的振荡。正如我们已经确定的那样,一个相互连接的兴奋性和抑制性神经元群体的系统何时会产生振荡,我们的结果也可能在研究由其他大脑区域的兴奋性和抑制性神经元集合产生的神经振荡中得到应用。

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