Modeling the Short-Term Dynamics of in Vivo Excitatory Spike Transmission
Modeling the Short-Term Dynamics of in Vivo Excitatory Spike Transmission
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DOI：
10.1523/jneurosci.1482-19.2020
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发表时间：
2020-05-20
影响因子：
5.3
通讯作者：
Stevenson, Ian H.
中科院分区：
文献类型：
--
作者：
Ghanbari, Abed;Ren, Naixin;Stevenson, Ian H.
神经网络中的信息传递受到短时突触可塑性（STP）和非突触因素（如后超极化电流和兴奋性变化）的影响。虽然这些影响已被广泛的特点，在体外使用细胞内记录，它们如何在体内相互作用还不清楚。在这里，我们开发了一个统计模型的短期动态的尖峰传输，旨在解开的贡献，突触和非突触效应的基础上观察到的突触前和突触后尖峰。该模型包括一个动态的功能连接与短期的可塑性，以及由于突触后尖峰和突触后兴奋性的缓慢变化的最近的历史的影响。使用成对的尖峰记录，我们发现，该模型准确地描述了短期动态的在体内尖峰传输在一个不同的一组确定和假定的兴奋性突触，包括一对连接的神经元在小鼠丘脑，丘脑皮质连接在一只雌性兔子，和听觉脑干突触在雌性沙鼠。我们说明了这种建模方法的实用性，通过显示如何由模型捕获的尖峰传输模式可能足以占刺激依赖的差异，在听觉脑干的尖峰传输（端灯泡举行）。最后，我们将此模型应用于大规模的多电极记录，以说明这种方法如何有潜力揭示细胞类型的特定差异，在体内的尖峰传输。虽然STP参数估计从正在进行的突触前和突触后尖峰是高度不确定的，我们的研究结果是部分符合以前的细胞内观察这些突触。
Information transmission in neural networks is influenced by both short-term synaptic plasticity (STP) as well as nonsynaptic factors, such as after-hyperpolarization currents and changes in excitability. Although these effects have been widely characterized in vitro using intracellular recordings, how they interact in vivo is unclear. Here, we develop a statistical model of the short-term dynamics of spike transmission that aims to disentangle the contributions of synaptic and nonsynaptic effects based only on observed presynaptic and postsynaptic spiking. The model includes a dynamic functional connection with short-term plasticity as well as effects due to the recent history of postsynaptic spiking and slow changes in postsynaptic excitability. Using paired spike recordings, we find that the model accurately describes the short-term dynamics of in vivo spike transmission at a diverse set of identified and putative excitatory synapses, including a pair of connected neurons within thalamus in mouse, a thalamocortical connection in a female rabbit, and an auditory brainstem synapse in a female gerbil. We illustrate the utility of this modeling approach by showing how the spike transmission patterns captured by the model may be sufficient to account for stimulus-dependent differences in spike transmission in the auditory brainstem (end-bulb of Held). Finally, we apply this model to large-scale multielectrode recordings to illustrate how such an approach has the potential to reveal cell type-specific differences in spike transmission in vivo. Although STP parameters estimated from ongoing presynaptic and postsynaptic spiking are highly uncertain, our results are partially consistent with previous intracellular observations in these synapses.