On the dynamics of the spontaneous activity in neuronal networks.

On the dynamics of the spontaneous activity in neuronal networks.
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DOI:
10.1371/journal.pone.0000439
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发表时间:
2007-05-09
期刊:
影响因子:
3.7
通讯作者:
Torre, Vincent
Torre, Vincent
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Mazzoni, Alberto;Broccard, Frederic D.;Garcia-Perez, Elizabeth;Bonifazi, Paolo;Ruaro, Maria Elisabetta;Torre, Vincent

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大多数神经元网络,即使在没有外部刺激的情况下,也会产生自发的尖峰脉冲,这些尖峰脉冲被活动减少的时期所分隔。这些神经元事件的起源和功能作用仍不清楚。目前的工作表明,两个非常不同的网络,完整的水蛭神经节和大鼠海马神经元的解离培养物的自发活动,共享几个功能。事实上,在这两个网络中:(1)单个神经元自发放电的峰间间隔分布是规则的、周期性的或爆发性的,爆发性神经元的比例取决于网络的活动;(2)自发峰的爆发具有相同的宽的大小和持续时间分布; iii)相关活动的程度随着面元宽度的增加而增加,并且网络放电率的功率谱在低频处具有1/f行为,表明存在长距离时间相关性; iv)由NMDA受体介导的兴奋性突触通路的活性对于长距离相关性的开始和大爆发的存在是必需的; v)由GABAA受体介导的抑制性突触通路的阻断反而引起神经元之间的相关性的增加,并导致仅由非常小和非常大的爆发组成的爆发分布。这些结果表明,具有不同结构和功能的神经元网络中的自发电活动可以具有非常相似的性质和共同的动力学。
Most neuronal networks, even in the absence of external stimuli, produce spontaneous bursts of spikes separated by periods of reduced activity. The origin and functional role of these neuronal events are still unclear. The present work shows that the spontaneous activity of two very different networks, intact leech ganglia and dissociated cultures of rat hippocampal neurons, share several features. Indeed, in both networks: i) the inter-spike intervals distribution of the spontaneous firing of single neurons is either regular or periodic or bursting, with the fraction of bursting neurons depending on the network activity; ii) bursts of spontaneous spikes have the same broad distributions of size and duration; iii) the degree of correlated activity increases with the bin width, and the power spectrum of the network firing rate has a 1/f behavior at low frequencies, indicating the existence of long-range temporal correlations; iv) the activity of excitatory synaptic pathways mediated by NMDA receptors is necessary for the onset of the long-range correlations and for the presence of large bursts; v) blockage of inhibitory synaptic pathways mediated by GABAA receptors causes instead an increase in the correlation among neurons and leads to a burst distribution composed only of very small and very large bursts. These results suggest that the spontaneous electrical activity in neuronal networks with different architectures and functions can have very similar properties and common dynamics.
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