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Analyses of conditions for generating beta oscillations in the Cortex-Subthalamic Nucleus-Globus Pallidus model

机译:在皮质 - 次粒子核 - Globus Modulus模型中产生β振荡的条件分析

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Analyzing the conditions for generating beta oscillation in basal ganglia plays a key role in understanding the mechanism of Parkinson's disease (PD). In this paper, we consider a Cortex-STN-GPe model, which consists of the external segment of globus pallidus (GPe), subthalamic nucleus (STN) and cortex including excitatory and inhibitory neurons. We obtain the stability boundary conditions for the model through theoretical analyses, and discuss the influence of two inputs to cortex and GPe on oscillations by numerical simulation. Our results reveal that the model can oscillate for large connection weight between STN and GPe, much larger input to the cortex, and most input values to the GPe. Furthermore, the effects of parameters in the cortical circuit on the amplitude and frequency of the beta oscillation are analyzed. We show that larger delay and larger firing rate of excitatory and inhibitory neurons in the cortex make the model oscillate easily. We hope that our results will be helpful for further understanding the mechanisms of beta oscillations in the treatment of Parkinson's disease and may apply to some studies of neural oscillations.
机译:分析基础神经节的生成β振荡的条件在理解帕金森病(PD)的机制方面发挥着关键作用。在本文中,我们考虑了一种Cortex-STN-GPE模型,它由Globus pallidus(GPE),次粒子核(STN)和皮质的外部段组成,包括兴奋性和抑制性神经元。我们通过理论分析获得模型的稳定性边界条件,并通过数值模拟讨论两种输入对皮质和GPE对皮质和GPE的影响。我们的研究结果表明,该模型可以在STN和GPE之间进行大的连接重量,对皮质输入的大量输入,以及GPE的大多数输入值。此外,分析了对皮质电路中的参数对β振荡的幅度和频率的影响。我们表明,皮质中兴奋性和抑制性神经元的较大延迟和更大的射击率使模型容易振荡。我们希望我们的结果对进一步了解帕金森病治疗β振荡的机制有所帮助,并可能适用于对神经振荡的一些研究。

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