Lonardoni Davide, Amin Hayder, Di Marco Stefano, Maccione Alessandro, Berdondini Luca, Nieus Thierry
Neuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.
PLoS Comput Biol. 2017 Jul 27;13(7):e1005672. doi: 10.1371/journal.pcbi.1005672. eCollection 2017 Jul.
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.
发育中的神经元系统内在地产生协调的自发活动,这种活动通过大量同步放电的神经元进行传播。在体内,尖峰波短暂地表征发育中的脑回路的活动,并且对于依赖活动的回路形成至关重要。在体外,二维和三维神经元培养物发育过程中会出现协调的自发尖峰活动,即网络爆发(NBs),它穿插在异步尖峰时期内。多项研究调查了这类活动及其动态变化,但神经元系统如何产生这些协调事件仍不清楚。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动的神经元培养物中网络爆发的产生。我们的分析表明,NBs在网络的特殊区域(功能性神经元群落)中产生,这些区域具有高互相关峰值、亚毫秒级滞后的神经元连接,并且共享非常相似的结构连接基序以提供反复相互作用。我们表明,这些局部结构的特殊属性能够局部放大自发异步尖峰,并且这种机制可导致NBs的起始。通过对模拟数据和实验数据的分析,我们还表明,AMPA电流驱动协调活动,而NMDA和GABA电流仅参与塑造NBs的动态变化。总体而言,我们的结果表明,具有反复局部连接的功能性神经元群落的存在使神经元系统能够产生自发协调的尖峰活动事件。正如用于实现我们计算模型的规则所表明的那样,这类功能性群落可能在网络发育过程中通过遵循基于距离的连接的简单约束而自然出现。