Autaptic Connections Shift Network Excitability and Bursting.
Autaptic Connections Shift Network Excitability and Bursting.
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DOI：
10.1038/srep44006
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发表时间：
2017-03-07
影响因子：
4.6
通讯作者：
Meaney DF
中科院分区：
文献类型：
--
作者：
Wiles L;Gu S;Pasqualetti F;Parvesse B;Gabrieli D;Bassett DS;Meaney DF
我们研究了结构自适应的作用，当一个神经元突触到自己，在驱动网络范围内的爆裂行为。使用一个简单的尖峰模型的神经元活动，我们研究了autaptic连接如何影响活动模式，并评估可控性是否显着影响从autaptic连接爆裂的变化。在兴奋性神经元上添加更多的自适应连接，增加了尖峰事件的数量和网络范围内的突发事件的数量。我们观察到兴奋性突触比抑制性突触对爆发行为的贡献更大。我们评估了具有高平均可控性的神经元，预测将网络推入容易达到的状态，与具有高模态可控性的神经元不同地影响突发行为，认为影响网络进入难以达到的状态。结果表明，autaptic连接到兴奋性神经元具有高的平均可控性导致更高的突发频率比添加相同数量的自循环连接到神经元具有高的模态可控性。通过在高度兴奋性神经元中加入自突触，诱导爆发所需的自突触数量减少。这些结果表明，autaptic连接在控制网络范围内的爆发在不同的哺乳动物大脑皮层和皮层下区域的作用。此外，它们为研究结构可控性的动态神经生理学相关性开辟了新的途径。
We examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide bursting behavior. Using a simple spiking model of neuronal activity, we study how autaptic connections affect activity patterns, and evaluate if controllability significantly affects changes in bursting from autaptic connections. Adding more autaptic connections to excitatory neurons increased the number of spiking events and the number of network-wide bursts. We observed excitatory synapses contributed more to bursting behavior than inhibitory synapses. We evaluated if neurons with high average controllability, predicted to push the network into easily achievable states, affected bursting behavior differently than neurons with high modal controllability, thought to influence the network into difficult to reach states. Results show autaptic connections to excitatory neurons with high average controllability led to higher burst frequencies than adding the same number of self-looping connections to neurons with high modal controllability. The number of autapses required to induce bursting was lowered by adding autapses to high degree excitatory neurons. These results suggest a role of autaptic connections in controlling network-wide bursts in diverse cortical and subcortical regions of mammalian brain. Moreover, they open up new avenues for the study of dynamic neurophysiological correlates of structural controllability.