Rapid signaling at inhibitory synapses in a dentate gyrus interneuron network

齿状回中间神经元网络中抑制性突触的快速信号传导

阅读:5
作者:M Bartos, I Vida, M Frotscher, J R Geiger, P Jonas

Abstract

Mutual synaptic interactions between GABAergic interneurons are thought to be of critical importance for the generation of network oscillations and for temporal encoding of information in the hippocampus. However, the functional properties of synaptic transmission between hippocampal interneurons are largely unknown. We have made paired recordings from basket cells (BCs) in the dentate gyrus of rat hippocampal slices, followed by correlated light and electron microscopical analysis. Unitary GABA(A) receptor-mediated IPSCs at BC-BC synapses recorded at the soma showed a fast rise and decay, with a mean decay time constant of 2.5 +/- 0.2 msec (32 degrees C). Synaptic transmission at BC-BC synapses showed paired-pulse depression (PPD) (32 +/- 5% for 10 msec interpulse intervals) and multiple-pulse depression during repetitive stimulation. Detailed passive cable model simulations based on somatodendritic morphology and localization of synaptic contacts further indicated that the conductance change at the postsynaptic site was even faster, decaying with a mean time constant of 1.8 +/- 0.6 msec. Sequential triple recordings revealed that the decay time course of IPSCs at BC-BC synapses was approximately twofold faster than that at BC-granule cell synapses, whereas the extent of PPD was comparable. To examine the consequences of the fast postsynaptic conductance change for the generation of oscillatory activity, we developed a computational model of an interneuron network. The model showed robust oscillations at frequencies >60 Hz if the excitatory drive was sufficiently large. Thus the fast conductance change at interneuron-interneuron synapses may promote the generation of high-frequency oscillations observed in the dentate gyrus in vivo.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。