Jedlicka Peter, Deller Thomas, Schwarzacher Stephan W
Institute of Clinical Neuroanatomy, Goethe-University, NeuroScience Center, 60590, Frankfurt am Main, Germany.
J Comput Neurosci. 2010 Dec;29(3):509-19. doi: 10.1007/s10827-010-0214-y. Epub 2010 Feb 23.
Paired-pulse inhibition (PPI) of the population spike observed in extracellular field recordings is widely used as a read-out of hippocampal network inhibition. PPI reflects GABA(A) receptor-mediated inhibition of principal neurons through local interneurons. However, because of its polysynaptic nature, it is difficult to assign PPI changes to precise synaptic mechanisms. Here we used a detailed network model of the dentate gyrus to simulate PPI of granule cell action potentials and analyze its network properties. Our computational analysis indicates that PPI results mainly from a combination of perisomatic feed-forward and feedback inhibition of granule cells by basket cells. Feed-forward inhibition mediated by basket cells appeared to be the most significant source of PPI. Our simulations suggest that PPI depends more on somatic than on dendritic inhibition of granule cells. Furthermore, PPI was modulated by changes in GABA(A) reversal potential (E(GABA)) and by alterations in intrinsic excitability of granule cells. In summary, computer modeling provides a useful tool for determining the role of synaptic and intrinsic cellular mechanisms in paired-pulse field potential responses.
在细胞外场记录中观察到的群体峰电位的配对脉冲抑制(PPI)被广泛用作海马体网络抑制的一种读出方式。PPI反映了通过局部中间神经元由GABA(A)受体介导的对主要神经元的抑制。然而,由于其多突触性质,很难将PPI变化归因于精确的突触机制。在这里,我们使用了一个详细的齿状回网络模型来模拟颗粒细胞动作电位的PPI,并分析其网络特性。我们的计算分析表明,PPI主要源于篮状细胞对颗粒细胞的胞体周围前馈和反馈抑制的组合。篮状细胞介导的前馈抑制似乎是PPI的最重要来源。我们的模拟表明,PPI更多地依赖于颗粒细胞的胞体抑制而非树突抑制。此外,PPI受到GABA(A)反转电位(E(GABA))的变化以及颗粒细胞内在兴奋性改变的调节。总之,计算机建模为确定突触和内在细胞机制在配对脉冲场电位反应中的作用提供了一个有用的工具。