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Oxytocin Neurones: Intrinsic Mechanisms Governing the Regularity of Spiking Activity

机译:催产素神经元:管理尖刺活动规律的内在机制

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Oxytocin neurones of the rat supraoptic nucleus are osmoresponsive and, with all other things being equal, they fire at a mean rate that is proportional to the plasma sodium concentration. However, individual spike times are governed by highly stochastic events, namely the random occurrences of excitatory synaptic inputs, the probability of which is increased by increasing extracellular osmotic pressure. Accordingly, interspike intervals (ISIs) are very irregular. In the present study, we show, by statistical analyses of firing patterns in oxytocin neurones, that themean firing rate as measured in bins of a few seconds is more regular than expected from the variability of ISIs. This is consistent with an intrinsic activity-dependent negative-feedback mechanism. To test this, we compared observed neuronal firing patterns with firing patterns generated by a leaky integrate-and-fire model neurone, modified to exhibit activity-dependent mechanisms known to be present in oxytocin neurones. The presence of a prolonged afterhyperpolarisation (AHP) was critical for the ability to mimic the observed regularisation of mean firing rate, although we also had to add a depolarising afterpotential (DAP; sometimes called an afterdepolarisation) to the model to match the observed ISI distributions. We tested this model by comparing its behaviour with the behaviour of oxytocin neurones exposed to apamin, a blocker of the medium AHP. Good fits indicate that the medium AHP actively contributes to the firing patterns of oxytocin neurones during non-bursting activity, and that oxytocin neurones generally express a DAP, even though this is usually masked by superposition of a larger AHP.
机译:大鼠催产素神经核素的大鼠上升核是渗透性的,并且所有其他东西都是相等的,它们以与血浆钠浓度成比例的平均速率射击。然而,个体尖峰时间受到高度随机事件的控制,即随机发生的兴奋性突触输入,通过增加细胞外渗透压增加的可能性。因此,间隙间隔(ISIS)非常不规则。在本研究中,我们通过催产素神经元中的烧制模式进行统计分析,即在几秒钟内测量的主题烧制率比ISIS的可变性更常规。这与内在活动相关的负反馈机制一致。为了测试这一点,我们将观察到的神经元烧制模式与由泄漏的整合和火模型神经元产生的烧制模式进行了混合,修饰以表现出已知存在于催产素神经元中的活性依赖性机制。延长的后培养(AHP)的存在对于模拟所观察到的平均烧制率的正规化的能力至关重要,尽管我们还必须添加一种去极化的后势(DAP;有时被称为后期溶解),以匹配观察到的ISI分布。通过将其行为与暴露于Apamin的催产素神经元的行为进行比较,通过暴露于Apamin的催产素神经元的行为来测试该模型,是培养基AHP的阻断。良好的拟合表明,培养基AHP在非爆发活性期间积极地有助于催产素神经元的烧制模式,并且催产素神经元通常表达一个DAP,即使这通常通过叠加较大的AHP叠加而掩盖。

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