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Modeling effect of GABAergic current in a basal ganglia computational model

机译:基底神经节计算模型中GABA能电流的建模效果

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摘要

Electrical high frequency stimulation (HFS) of deep brain regions is a method shown to be clinically effective in different types of movement and neurological disorders. In order to shed light on its mode of action a computational model of the basal ganglia network coupled the HFS as injection current into the cells of the subthalamic nucleus (STN). Its overall increased activity rendered a faithful transmission of sensorimotor input through thalamo-cortical relay cells possible. Our contribution uses this model by Rubin and Terman (J Comput Neurosci, 16, 211–223, ) as a starting point and integrates recent findings on the importance of the extracellular concentrations of the inhibiting neurotransmitter GABA. We are able to show in this computational study that besides electrical stimulation a high concentration of GABA and its resulting conductivity in STN cells is able to re-establish faithful thalamocortical relaying, which otherwise broke down in the simulated parkinsonian state.
机译:大脑深部区域的高频电刺激(HFS)是一种在不同类型的运动和神经系统疾病中临床有效的方法。为了阐明其作用方式,基底神经节网络的计算模型将HFS作为注入电流耦合到丘脑下核(STN)的细胞中。它的整体活动增加使通过丘脑皮层中继细胞忠实传递感觉运动输入成为可能。我们的贡献以Rubin和Terman(J Comput Neurosci,16,211–223,)的模型为起点,并整合了有关抑制神经递质GABA的细胞外浓度重要性的最新发现。我们能够在此计算研究中证明,除了电刺激外,高浓度的GABA及其在STN细胞中的电导率还能够重建忠实的丘脑皮层中转,否则在模拟的帕金森病状态下会破裂。

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