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Estimating the correlation between bursty spike trains and local field potentials

机译:估算突发性峰值列车与局部场电势之间的相关性

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摘要

To further understand rhythmic neuronal synchronization, an increasingly useful method is to determine the relationship between the spiking activity of individual neurons and the local field potentials (LFPs) of neural ensembles. Spike field coherence (SFC) is a widely used method for measuring the synchronization between spike trains and LFPs. However, due to the strong dependency of SFC on the burst index, it is not suitable for analyzing the relationship between bursty spike trains and LFPs, particularly in high frequency bands. To address this issue, we developed a method called weighted spike field correlation (WSFC), which uses the first spike in each burst multiple times to estimate the relationship. In the calculation, the number of times that the first spike is used is equal to the spike count per burst. The performance of this method was demonstrated using simulated bursty spike trains and LFPs, which comprised sinusoids with different frequencies, amplitudes, and phases. This method was also used to estimate the correlation between pyramidal cells in the hippocampus and gamma oscillations in rats performing behaviors. Analyses using simulated and real data demonstrated that the WSFC method is a promising measure for estimating the correlation between bursty spike trains and high frequency LFPs.
机译:为了进一步了解节律性神经元同步,一种越来越有用的方法是确定单个神经元的突波活动与神经集合体的局部场电位(LFP)之间的关系。尖峰场相干(SFC)是一种用于测量尖峰列和LFP之间的同步的广泛使用的方法。但是,由于SFC对突发索引的强烈依赖性,因此不适合分析突发尖峰串与LFP之间的关系,特别是在高频带中。为了解决此问题,我们开发了一种称为加权尖峰字段相关性(WSFC)的方法,该方法多次使用每个突发中的第一个尖峰来估计这种关系。在计算中,使用第一个尖峰的次数等于每个突发的尖峰计数。该方法的性能已通过模拟突发脉冲串和LFP(包括具有不同频率,幅度和相位的正弦波)证明。该方法还用于估计进行行为的大鼠海马锥体细胞与伽马振动之间的相关性。使用模拟和真实数据进行的分析表明,WSFC方法是一种很有用的方法,可用于估计突发尖峰脉冲串和高频LFP之间的相关性。

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