...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Epilepsy currents >Dyeing to be fired: FIring order distinguishes two types of bursting activity
【24h】

Dyeing to be fired: FIring order distinguishes two types of bursting activity

机译：要被染色的染料：点火顺序区分了两种类型的破裂活动

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Computational studies have suggested that stochastic, deterministic, and mixed processes all could be possible determinants of spontaneous, synchronous network bursts. In the present study, using multicellular calcium imaging coupled with fast confocal microscopy, we describe neuronal behavior underlying spontaneous network bursts in developing rat and mouse hippocampal area CA3 networks. Two primary burst types were studied: giant depolarizing potentials (GDPs) and spontaneous interictal bursts recorded in bicuculline, a GABAA receptor antagonist. Analysis of the simultaneous behavior of multiple CA3 neurons during synchronous GDPs revealed a repeatable activation order from burst to burst. This was validated using several statistical methods, including high Kendall's coefficient of concordance values for firing order during GDPs, high Pearson's correlations of cellular activation times between burst pairs, and latent class analysis, which revealed a population of 5-6% of CA3 neurons reliably firing very early during GDPs. In contrast, neuronal firing order during interictal bursts appeared homogeneous, with no particular cells repeatedly leading or lagging during these synchronous events. We conclude that GDPs activate via a deterministic mechanism, with distinct, repeatable roles for subsets of neurons during burst generation, while interictal bursts appear to be stochastic events with cells assuming interchangeable roles in the generation of these events.
机译：计算研究表明，随机，确定性和混合过程都可能是自发同步网络突发事件的决定因素。在本研究中，使用多细胞钙成像与快速共聚焦显微镜相结合，我们描述了发育中的大鼠和小鼠海马区CA3网络中自发网络爆发背后的神经元行为。研究了两种主要的猝发类型：巨大的去极化电位（GDPs）和记录在GABAA受体拮抗药小分子中的自发性发作性猝发。在同步GDP期间对多个CA3神经元的同时行为进行分析后发现，突发之间的激活顺序可重复。使用多种统计方法对此进行了验证，包括GDP期间解雇顺序的高肯德尔一致性系数值，爆发对之间细胞激活时间的高皮尔逊相关性以及潜在类别分析，这些分析可靠地揭示了5-6％的CA3神经元种群在GDP期间很早就解雇。相比之下，发作间期的神经元放电顺序似乎是均匀的，在这些同步事件中没有特定的细胞反复地领先或落后。我们得出的结论是，GDP通过确定性机制激活，在爆发生成过程中对神经元的子集具有独特的，可重复的作用，而发作间爆发似乎是随机事件，细胞在这些事件的生成中承担着可互换的角色。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号