Statistical Significance of Precisely Repeated Intracellular Synaptic Patterns
Statistical Significance of Precisely Repeated Intracellular Synaptic Patterns
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DOI：
10.1371/journal.pone.0003983
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发表时间：
2008-12-19
期刊：
影响因子：
3.7
通讯作者：
Aaron, Gloster
中科院分区：
文献类型：
--
作者：
Ikegaya, Yuji;Matsumoto, Wataru;Aaron, Gloster
神经元网络能以毫秒级的精度产生活动模式吗？考虑到突触传递的概率性质，这似乎不太可能。然而，一些大脑功能理论预测，这种精确度是可行的，可能来自于连接神经元电路中动作电位产生的非线性。几项研究已经提出了支持和反对这一假设的证据。我们早期的工作支持了这一精确假说，其结果表明，在脑片和活体神经元的细胞内记录中可以找到突触输入的精确模式。为了验证这一假设，我们设计了一种方法来寻找精确的活动重复，并将在数据中发现的重复与通过对原始数据进行改组而在替代数据集中发现的重复进行比较。因为在原始数据中发现的重复比在代理数据集中发现的多，所以我们认为重复不是由于偶然发生的。Mokeichev等人。(2007)对这些结论提出质疑，认为代孕数据的生成不够严格。我们现在已经用Mokeichev等人介绍的方法重新分析了我们之前的数据。(2007)。我们的重新分析表明，重复具有统计意义，从而支持我们早先的结论，同时也支持Mokeichev等人的许多结论。(2007)从他们最近的活体记录中提取。此外，我们还表明，记录膜电位的条件对检测重复序列的能力有很大贡献，并可能解释相互矛盾的结果。总之，我们的重新评估解决了池谷等人之间的方法论矛盾。(2004)和Mokeichev等人。(2007)，但证明了我们之前的结论的有效性，即自发的网络活动是非随机组织的。
Can neuronal networks produce patterns of activity with millisecond accuracy? It may seem unlikely, considering the probabilistic nature of synaptic transmission. However, some theories of brain function predict that such precision is feasible and can emerge from the non-linearity of the action potential generation in circuits of connected neurons. Several studies have presented evidence for and against this hypothesis. Our earlier work supported the precision hypothesis, based on results demonstrating that precise patterns of synaptic inputs could be found in intracellular recordings from neurons in brain slices and in vivo. To test this hypothesis, we devised a method for finding precise repeats of activity and compared repeats found in the data to those found in surrogate datasets made by shuffling the original data. Because more repeats were found in the original data than in the surrogate data sets, we argued that repeats were not due to chance occurrence. Mokeichev et al. (2007) challenged these conclusions, arguing that the generation of surrogate data was insufficiently rigorous. We have now reanalyzed our previous data with the methods introduced from Mokeichev et al. (2007). Our reanalysis reveals that repeats are statistically significant, thus supporting our earlier conclusions, while also supporting many conclusions that Mokeichev et al. (2007) drew from their recent in vivo recordings. Moreover, we also show that the conditions under which the membrane potential is recorded contributes significantly to the ability to detect repeats and may explain conflicting results. In conclusion, our reevaluation resolves the methodological contradictions between Ikegaya et al. (2004) and Mokeichev et al. (2007), but demonstrates the validity of our previous conclusion that spontaneous network activity is non-randomly organized.