Size-dependent regulation of synchronized activity in living neuronal networks
Size-dependent regulation of synchronized activity in living neuronal networks
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活神经元网络中同步活动的大小依赖性调节
DOI：
10.1103/physreve.94.012407
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and Michio Niwano
中科院分区：
文献类型：
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作者：
Hideaki Yamamoto;Shigeru Kubota;Yudai Chida;Mayu Morita;Satoshi Moriya;Hisanao Akima;Shigeo Sato;Ayumi Hirano-Iwata;Takashi Tanii;and Michio Niwano
我们研究了网络大小对活神经元网络同步活动的影响。分离的皮层神经元在体外培养中形成突触连接，并在10天内产生同步的自发活动。使用微图案化的表面来控制神经元网络的大小，我们发现同步活动可以出现在小到12个细胞的网络中。此外，对小型（1020个细胞）、中型（10100个细胞）和大型（10400个细胞）网络的详细比较表明，在小型网络中，同步活动变得不稳定。神经活动的计算模型，然后探讨负责的大小效应的潜在机制。我们发现同步活动的产生和维持可以最低限度地描述为：（1）网络中每个神经元的随机放电，（2）兴奋性突触正反馈回路中网络活动的增强，以及（3）Ca依赖性抑制爆发活动。该模型进一步表明，驱动相关活动正反馈放大的神经元的总突触输入的减少是较小网络中同步不稳定的关键因素。自发神经活动在皮层信息处理中起着关键作用，我们的工作建设性地澄清了这背后的结构基础的一个方面。
We study the effect of network size on synchronized activity in living neuronal networks. Dissociated cortical neurons form synaptic connections in culture and generate synchronized spontaneous activity within 10 daysin vitro. Using micropatterned surfaces to extrinsically control the size of neuronal networks, we show that synchronized activity can emerge in a network as small as 12 cells. Furthermore, a detailed comparison ofsmall(∼20 cells),medium(∼100 cells), andlarge(∼400 cells) networks reveal that synchronized activity becomes destabilized in thesmallnetworks. A computational modeling of neural activity is then employed to explore the underlying mechanism responsible for the size effect. We find that the generation and maintenance of the synchronized activity can be minimally described by: (1) the stochastic firing of each neuron in the network, (2) enhancement in the network activity in a positive feedback loop of excitatory synapses, and (3) Ca-dependent suppression of bursting activity. The model further shows that the decrease in total synaptic input to a neuron that drives the positive feedback amplification of correlated activity is a key factor underlying the destabilization of synchrony in smaller networks. Spontaneous neural activity plays a critical role in cortical information processing, and our work constructively clarifies an aspect of the structural basis behind this.