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首页> 外文期刊>Journal of Neuroscience Methods >Quantal measurement and analysis methods compared for crayfish and Drosophila neuromuscular junctions, and rat hippocampus.
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Quantal measurement and analysis methods compared for crayfish and Drosophila neuromuscular junctions, and rat hippocampus.

机译：比较了小龙虾和果蝇神经肌肉接头以及大鼠海马体的量子测量和分析方法。

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Quantal content of transmission was estimated for three synaptic systems (crayfish and Drosophila neuromuscular junctions, and rat dentate gyrus neurons) with three different methods of measurement: direct counts of released quanta, amplitude measurements of evoked and spontaneous events, and charge measurements of evoked and spontaneous events. At the crayfish neuromuscular junction, comparison of the three methods showed that estimates from charge measurements were closer to estimates from direct counts, since amplitude measurements were more seriously affected by variable latency in evoked release of quantal units. Thus, charge measurements are better for estimating quantal content when direct counts cannot be made, as in crayfish at high frequency of stimulation or in the dentate gyrus neurons. At the Drosophila neuromuscular junction, there is almost no latency variation of quantal release in realistic physiological solutions, and the methods based upon amplitudes and charge give similar results. Distributions of evoked synaptic quantal events obtained by direct counts at the crayfish neuromuscular junction were compared to statistical distributions obtained by best fits. Binomial distributions with uniform or non-uniform probabilities of release generally provided good fits to the observations. From best fit distributions, the quantal parameters n (number of release sites) and p (their probability of release) can be calculated. We used two algorithms to estimate n and p: one allows for non-uniform probability of release and uses a modified chi-square (chi 2) criterion, and the second assumes uniform probability of release and derives parameters from maximum likelihood estimation (MLE). The bootstrap estimate of standard errors is used to determine the accuracy of n and p estimates.
机译：通过三种不同的测量方法，估算了三种突触系统（小龙虾和果蝇神经肌肉接头以及大鼠齿状回神经元）的传递的量子含量：释放的量子的直接计数，诱发和自发事件的幅度测定以及诱发和自发事件的电荷测定自发事件。在小龙虾神经肌肉连接处，三种方法的比较表明，电荷测量的估算值更接近直接计数的估算值，因为幅度测量受诱发的定量单位延迟的变化影响更大。因此，当无法进行直接计数时，例如在高频刺激的小龙虾中或在齿状回神经元中，电荷测量更适合于估算数量含量。在果蝇神经肌肉接头处，在现实的生理溶液中几乎没有定量释放的潜伏期变化，并且基于振幅和电荷的方法给出了相似的结果。通过直接计数在小龙虾神经肌肉连接处获得的诱发突触定量事件的分布与通过最佳拟合获得的统计分布进行比较。具有均匀或非均匀释放概率的二项式分布通常为观察提供很好的契合度。根据最佳拟合分布，可以计算数量参数n（释放部位的数量）和p（其释放概率）。我们使用两种算法来估计n和p：一种算法允许非均匀的释放概率，并使用修改后的卡方（chi 2）准则，第二种算法假定释放的概率均匀，并从最大似然估计（MLE）得出参数。标准误差的自举估计用于确定n和p估计的准确性。

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