Mathematical Modeling and Analyses of Interspike-Intervals of Spontaneous Activity in Afferent Neurons of the Zebrafish Lateral Line.

Mathematical Modeling and Analyses of Interspike-Intervals of Spontaneous Activity in Afferent Neurons of the Zebrafish Lateral Line.
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DOI:
10.1038/s41598-018-33064-z
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发表时间:
2018-10-05
期刊:
影响因子:
4.6
通讯作者:
Tania N
Tania N
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Song S;Lee JA;Kiselev I;Iyengar V;Trapani JG;Tania N

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在没有刺激的情况下,毛细胞自发地释放神经递质,导致支配传入神经元的动作电位(尖峰)的自发产生。我们分析了自发的尖峰模式记录从侧线的斑马鱼,并发现,分布的interspike间隔(ISI)要么有一个指数形状或“L”形,其特点是由一个尖锐的衰减,但宽尾。ISI数据被拟合到更新过程模型,该模型解释了神经元不应期和毛细胞突触释放。使用两种指数分布的混合物对突触释放的时间进行建模,得到了我们ISI数据的最佳拟合。此外,侧线ISI显示正序列相关性,并表现出更快和更慢的模式之间的尖峰生成切换。这种模式与以前的研究结果从听觉系统,ISI往往有负序列相关,由于突触耗竭。我们建议,传入神经元的神经支配与多个和异质的毛细胞突触,每个影响的钙结构域的变化,可以作为一种机制的随机开关行为。总的来说,我们的分析提供了证据,如何在听觉,前庭和侧线系统的突触和神经支配模式之间的生理相似性和差异,可以导致自发活动的变化。
Without stimuli, hair cells spontaneously release neurotransmitter leading to spontaneous generation of action potentials (spikes) in innervating afferent neurons. We analyzed spontaneous spike patterns recorded from the lateral line of zebrafish and found that distributions of interspike intervals (ISIs) either have an exponential shape or an “L” shape that is characterized by a sharp decay but wide tail. ISI data were fitted to renewal-process models that accounted for the neuron refractory periods and hair-cell synaptic release. Modeling the timing of synaptic release using a mixture of two exponential distributions yielded the best fit for our ISI data. Additionally, lateral line ISIs displayed positive serial correlation and appeared to exhibit switching between faster and slower modes of spike generation. This pattern contrasts with previous findings from the auditory system where ISIs tended to have negative serial correlation due to synaptic depletion. We propose that afferent neuron innervation with multiple and heterogenous hair-cells synapses, each influenced by changes in calcium domains, can serve as a mechanism for the random switching behavior. Overall, our analyses provide evidence of how physiological similarities and differences between synapses and innervation patterns in the auditory, vestibular, and lateral line systems can lead to variations in spontaneous activity.
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