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首页> 外文期刊>PLoS Computational Biology >Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks
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Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks

机译:反复连接和定位的神经元社区启动神经元网络中协调一致的自发活动

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Developing neuronal systems intrinsically generate coordinated spontaneous activity that propagates by involving a large number of synchronously firing neurons. In vivo, waves of spikes transiently characterize the activity of developing brain circuits and are fundamental for activity-dependent circuit formation. In vitro, coordinated spontaneous spiking activity, or network bursts (NBs), interleaved within periods of asynchronous spikes emerge during the development of 2D and 3D neuronal cultures. Several studies have investigated this type of activity and its dynamics, but how a neuronal system generates these coordinated events remains unclear. Here, we investigate at a cellular level the generation of network bursts in spontaneously active neuronal cultures by exploiting high-resolution multielectrode array recordings and computational network modelling. Our analysis reveals that NBs are generated in specialized regions of the network (functional neuronal communities) that feature neuronal links with high cross-correlation peak values, sub-millisecond lags and that share very similar structural connectivity motifs providing recurrent interactions. We show that the particular properties of these local structures enable locally amplifying spontaneous asynchronous spikes and that this mechanism can lead to the initiation of NBs. Through the analysis of simulated and experimental data, we also show that AMPA currents drive the coordinated activity, while NMDA and GABA currents are only involved in shaping the dynamics of NBs. Overall, our results suggest that the presence of functional neuronal communities with recurrent local connections allows a neuronal system to generate spontaneous coordinated spiking activity events. As suggested by the rules used for implementing our computational model, such functional communities might naturally emerge during network development by following simple constraints on distance-based connectivity.
机译:发育中的神经元系统固有地产生协调的自发活动,该活动通过涉及大量同步激发神经元而传播。在体内,尖峰波短暂地表征了正在发展的大脑回路的活动,并且是与活动有关的回路形成的基础。在2D和3D神经元文化的发展过程中,出现了异步尖峰周期内交错的体外协调自发尖峰活动或网络爆发(NBs)。几项研究已经研究了这种活动及其动力学,但是神经系统如何产生这些协同事件尚不清楚。在这里,我们通过利用高分辨率多电极阵列记录和计算网络建模,在细胞水平上研究自发活跃神经元文化中网络爆发的产生。我们的分析表明,NB是在网络的特定区域(功能性神经元社区)中生成的,其特征是具有较高互相关峰值,亚毫秒级滞后的神经元链接,并且它们具有非常相似的结构连通性图案(提供循环相互作用)。我们表明,这些局部结构的特定属性使局部放大自发的异步尖峰,并且这种机制可以导致NBs的启动。通过对模拟和实验数据的分析,我们还表明AMPA电流驱动协调的活动,而NMDA和GABA电流仅参与塑造NB的动力学。总体而言,我们的研究结果表明功能神经元社区与复发性局部连接的存在使神经元系统能够生成自发的协同性增效活动事件。正如用于实现我们的计算模型的规则所建议的那样,通过遵循基于距离的连接性的简单约束,在网络开发过程中自然会出现这样的功能社区。

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