Suppr超能文献

在癫痫的体外谷氨酸损伤模型中,海马神经元网络的小世界网络拓扑结构丧失。

Small-world network topology of hippocampal neuronal network is lost, in an in vitro glutamate injury model of epilepsy.

作者信息

Srinivas Kalyan V, Jain Rishabh, Saurav Subit, Sikdar Sujit K

机构信息

Molecular Biophysics Unit, Indian Institute of Science, Bangalore-12, India.

出版信息

Eur J Neurosci. 2007 Jun;25(11):3276-86. doi: 10.1111/j.1460-9568.2007.05559.x.

Abstract

Neuronal network topologies and connectivity patterns were explored in control and glutamate-injured hippocampal neuronal networks, cultured on planar multielectrode arrays. Spontaneous activity was characterized by brief episodes of synchronous firing at many sites in the array (network bursts). During such assembly activity, maximum numbers of neurons are known to interact in the network. After brief glutamate exposure followed by recovery, neuronal networks became hypersynchronous and fired network bursts at higher frequency. Connectivity maps were constructed to understand how neurons communicate during a network burst. These maps were obtained by analysing the spike trains using cross-covariance analysis and graph theory methods. Analysis of degree distribution, which is a measure of direct connections between electrodes in a neuronal network, showed exponential and Gaussian distributions in control and glutamate-injured networks, respectively. Although both the networks showed random features, small-world properties in these networks were different. These results suggest that functional two-dimensional neuronal networks in vitro are not scale-free. After brief exposure to glutamate, normal hippocampal neuronal networks became hyperexcitable and fired a larger number of network bursts with altered network topology. The small-world network property was lost and this was accompanied by a change from an exponential to a Gaussian network.

摘要

在平面多电极阵列上培养的对照和谷氨酸损伤海马神经元网络中,研究了神经元网络拓扑结构和连接模式。自发活动的特征是阵列中许多位点出现短暂的同步放电(网络爆发)。在这种集群活动期间,已知网络中相互作用神经元的数量最多。短暂暴露于谷氨酸并恢复后,神经元网络变得高度同步,并以更高频率触发网络爆发。构建连接图以了解神经元在网络爆发期间如何通信。这些图是通过使用互协方差分析和图论方法分析尖峰序列获得的。度分布分析是衡量神经元网络中电极之间直接连接的指标,结果显示对照网络和谷氨酸损伤网络分别呈指数分布和高斯分布。虽然两个网络都表现出随机特征,但这些网络中的小世界特性不同。这些结果表明,体外功能性二维神经元网络不是无标度的。短暂暴露于谷氨酸后引起正常海马神经元网络过度兴奋,并触发大量具有改变的网络拓扑结构的网络爆发。小世界网络特性丧失,同时伴随着从指数网络到高斯网络的转变

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验