Preconfigured patterns are the primary driver of offline multi-neuronal sequence replay.
Preconfigured patterns are the primary driver of offline multi-neuronal sequence replay.
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DOI：
10.1002/hipo.23034
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发表时间：
2019-03
期刊：
影响因子：
3.5
通讯作者：
Dragoi G
中科院分区：
文献类型：
--
作者：
Liu K;Sibille J;Dragoi G
海马区自发的神经元整体活动被认为是预先配置的内部产生的动力学和最近经验驱动的独特活动模式的组合结果。先前的研究已经证实，预配置的序列神经元模式(即，预玩)有助于未来位置细胞序列的表达，这反过来又有助于经验后表达的序列神经元模式(即，重放)。在跑步后睡眠期间，预先配置的因素和经验相关因素对重播和整体顺序活动的相对贡献被认为高度偏向于最近的跑步体验，尽管从未进行过直接测试。在这里，我们使用多神经元序列分析来计算和直接比较内部产生的和最近的经验驱动因素对幼稚成年大鼠跑后睡眠中序列神经元活动的贡献。我们发现，跑后睡眠中的多神经元序列主要是由跑前的预配置模式贡献的，而在从头跑过程中经历的位置细胞序列和相关的清醒休息多神经元序列的贡献要小得多，它们与跑前和跑后睡眠的多神经元序列具有弱而相似的相关性。这些发现表明，海马体网络有一种强大的默认内部组织，形成了能够承受从头开始空间体验的连续神经元集合，并表明在从头开始经历期间整合新信息导致顺序网络模式的持久变化比先前假设的要微妙得多。
Spontaneous neuronal ensemble activity in the hippocampus is believed to result from a combination of preconfigured internally generated dynamics and the unique patterns of activity driven by recent experience. Previous research has established that preconfigured sequential neuronal patterns (i.e., preplay) contribute to the expression of future place cell sequences, which in turn contribute to the sequential neuronal patterns expressed post-experience (i.e., replay). The relative contribution of preconfigured and of experience-related factors to replay and to overall sequential activity during post-run sleep is believed to be highly biased toward the recent run experience, despite never being tested directly. Here, we use multi-neuronal sequence analysis unbiased by firing rate to compute and directly compare the contributions of internally generated and of recent experience-driven factors to the sequential neuronal activity in post-run sleep in naïve adult rats. We find that multi-neuronal sequences during post-run sleep are dominantly contributed by the pre-run preconfigured patterns and to a much smaller extent by the place cell sequences and associated awake rest multi-neuronal sequences experienced during de novo run session, which are weakly and similarly correlated with pre- and post-run sleep multi-neuronal sequences. These findings indicate a robust default internal organization of the hippocampal network into sequential neuronal ensembles that withstands a de novo spatial experience and suggest that integration of novel information during de novo experience leading to lasting changes in sequential network patterns is much more subtle than previously assumed.
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