Conditional firing probabilities in cultured neuronal networks: a stable underlying structure in widely varying spontaneous activity patterns
Conditional firing probabilities in cultured neuronal networks: a stable underlying structure in widely varying spontaneous activity patterns
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DOI：
10.1088/1741-2560/4/2/006
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发表时间：
2007-06-01
影响因子：
4
通讯作者：
van Pelt, J.
中科院分区：
文献类型：
--
作者：
le Feber, J.;Rutten, W. L. C.;van Pelt, J.
为了正确地观察训练后诱导的连通性变化，我们需要一个网络模型，它可以足够详细地描述个体关系，以观察诱导的变化，并揭示这些关系中的某种稳定性。采用条件放电概率的方法分析了在多电极阵列上培养的离解大鼠皮层网络的自发放电活动。对于60个电极中的所有对（i, j），我们计算条件放电概率（CFPi,j[tau]）作为在t = tau时电极j处的动作电位的概率，假设在t = 0时电极i处检测到一个动作电位。如果CFPi， j[tau]分布明显偏离平坦分布，则认为电极i和j是相关的。对于所有相关的电极对，将函数拟合到cfp曲线上，以获得每个关系的强度和延迟参数（即曲线最大值和最大值的延迟）。在年轻的文化中，确定的关系变化得相当快。在体外16天（DIV）， 50%的组在2天内发生变化。超过25 DIV后，该组稳定下来：在一周内，超过50%的组保持完整。大多数个人关系的发展相当缓慢。此外，超过25 DIV的关系强度显得相当稳定，在大约10小时的时间内，变异系数（100 x SD/mean）约为25%。CFP分析提供了一种稳健的方法来描述培养皮层网络中高度变化的自发活动的潜在概率结构。在概率结构发生变化的情况下，它可以为塑性研究提供一个合适的基础。CFP分析监测所有对电极，而不仅仅是选定的一个。尽管如此，它仍有可能足够详细地描述这个网络，从而发现个体关系中的细微变化。
To properly observe induced connectivity changes after training sessions, one needs a network model that describes individual relationships in sufficient detail to enable observation of induced changes and yet reveals some kind of stability in these relationships. We analyzed spontaneous firing activity in dissociated rat cortical networks cultured on multi-electrode arrays by means of the conditional firing probability. For all pairs (i, j) of the 60 electrodes, we calculated conditional firing probability (CFPi,j[tau]) as the probability of an action potential at electrode j at t = tau, given that one was detected at electrode i at t = 0. If a CFPi, j[tau] distribution clearly deviated from a flat one, electrodes i and j were considered to be related. For all related electrode pairs, a function was fitted to the CFP-curve to obtain parameters for,strength' and 'delay' (i.e. maximum and latency of the maximum of the curve) of each relationship. In young cultures the set of identified relationships changed rather quickly. At 16 days in vitro (DIV) 50% of the set changed within 2 days. Beyond 25 DIV this set stabilized: during a week more than 50% of the set remained intact. Most individual relationships developed rather gradually. Moreover, beyond 25 DIV relational strength appeared quite stable, with coefficients of variation (100 x SD/mean) around 25 % in periods of approximate to 10 h. CFP analysis provides a robust method to describe the underlying probabilistic structure of highly varying spontaneous activity in cultured cortical networks. It may offer a suitable basis for plasticity studies, in the case of changes in the probabilistic structure. CFP analysis monitors all pairs of electrodes instead of just a selected one. Still, it is likely to describe the network in sufficient detail to detect subtle changes in individual relationships.