不同脉冲序列同步测量方法对荷包牡丹碱诱发癫痫样活动错误数据的鲁棒性比较
Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity
摘要：
由于同步活动与脑的基本功能和病理状态密切相关，因此脉冲序列同步性已成为分析实验神经元数据的重要手段。已经提出了脉冲序列同步的许多不同的测量，但是没有允许在不同实验之间比较结果的金标准。这项工作的目的是提供指导，同步措施是最适合量化癫痫样诱导物质（如荷包牡丹碱（BIC））在体外神经元脉冲序列数据的影响。来自记录的脉冲序列数据可能遭受错误的脉冲检测，例如错过的脉冲（假阴性）或噪声（假阳性）。因此，不同的时间尺度相关的（互相关，互信息，尖峰时间平铺系数）和时间尺度无关的（尖峰对比，相位同步，A-SPIKE-同步，A-ISI-距离，ARI-SPIKE-距离）同步措施进行了比较，就其鲁棒性错误的脉冲序列。由于计算机模拟操作的数据，加标对比度是对假阴性和假阳性加标具有稳健性的唯一指标。分析实验数据集显示，所有测量都能够以统计学显著的方式捕获BIC的效果，即使在低尖峰检测阈值下，尖峰对比度也显示出最高的统计学显著性。总之，我们建议使用尖峰对比度来补充已建立的同步措施，因为它是时间尺度独立的，并且对错误的脉冲序列具有鲁棒性。
英文摘要：
As synchronized activity is associated with basic brain functions and pathological states, spike train synchrony has become an important measure to analyze experimental neuronal data. Many different measures of spike train synchrony have been proposed, but there is no gold standard allowing for comparison of results between different experiments. This work aims to provide guidance on which synchrony measure is best suitable to quantify the effect of epileptiform inducing substances (e.g. bicuculline (BIC)) in in vitro neuronal spike train data. Spike train data from recordings are likely to suffer from erroneous spike detection, such as missed spikes (false negative) or noise (false positive). Therefore, different time-scale dependent (cross-correlation, mutual information, spike time tiling coefficient) and time-scale independent (Spike-contrast, phase synchronization, A-SPIKE-synchronization, A-ISI-distance, ARI-SPIKE-distance) synchrony measures were compared in terms of their robustness to erroneous spike trains. As a result of the in silico manipulated data, Spike-contrast was the only measure being robust to false negative as well as false-positive spikes. Analyzing the experimental data set revealed that all measures were able to capture the effect of BIC in a statistically significant way, with Spike-contrast showing the highest statistical significance even at low spike detection thresholds. In summary, we suggest the usage of Spike-contrast to complement established synchrony measures, as it is time scale independent and robust to erroneous spike trains.
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