Relationships between spike-free local field potentials and spike timing in human temporal cortex.
Relationships between spike-free local field potentials and spike timing in human temporal cortex.
复制标题
DOI：
10.1152/jn.00663.2011
复制
发表时间：
2012-04
影响因子：
2.5
通讯作者：
S. Zanos;Theodoros P. Zanos;V. Marmarelis;G. Ojemann;E. Fetz
中科院分区：
文献类型：
--
作者：
S. Zanos;Theodoros P. Zanos;V. Marmarelis;G. Ojemann;E. Fetz
皮质内记录包括快速事件，动作电位（AP）和较慢的事件，称为局部场电位（LFP）。虽然人们认为LFP主要反映了局部突触活动，但尚不清楚它们的哪些信号成分与突触电位最密切相关，因此与单个AP的发生有因果关系。这个问题由于AP波形的显著贡献而变得复杂，特别是在较高的LFP频率下。在人类颞叶皮层的单细胞活动和LFP记录中，我们计算了定量的，非线性的，因果关系的动态模型，用于预测LFP的AP定时，在毫秒分辨率下，在去除AP对LFP的贡献之前和之后。在许多情况下，可以根据不同频率处的无尖峰LFP来预测大量单个AP的定时。毫不奇怪，当没有去除尖峰时，模型性能优越。由无锋电位LFP模型预测其活动的细胞通常分为两组：第一组，神经元锋电位活动与低LFP频率的特定时相相关，在高LFP频率下较低的锋电位活动，以及在锋电位-LFP模型中较强的线性成分;在第二组中，神经元锋电位活动与高LFP频率的较大幅度、较不频繁的锁相和较强的非线性模型分量相关。在第一组的尖峰时间更好地预测的标志和水平的LFP之前的尖峰，而在第二组的尖峰时间更好地预测LFP功率在一定的时间窗口之前的尖峰。
Intracortical recordings comprise both fast events, action potentials (APs), and slower events, known as local field potentials (LFPs). Although it is believed that LFPs mostly reflect local synaptic activity, it is unclear which of their signal components are most closely related to synaptic potentials and would therefore be causally related to the occurrence of individual APs. This issue is complicated by the significant contribution from AP waveforms, especially at higher LFP frequencies. In recordings of single-cell activity and LFPs from the human temporal cortex, we computed quantitative, nonlinear, causal dynamic models for the prediction of AP timing from LFPs, at millisecond resolution, before and after removing AP contributions to the LFP. In many cases, the timing of a significant number of single APs could be predicted from spike-free LFPs at different frequencies. Not surprisingly, model performance was superior when spikes were not removed. Cells whose activity was predicted by the spike-free LFP models generally fell into one of two groups: in the first group, neuronal spike activity was associated with specific phases of low LFP frequencies, lower spike activity at high LFP frequencies, and a stronger linear component in the spike-LFP model; in the second group, neuronal spike activity was associated with larger amplitude of high LFP frequencies, less frequent phase locking, and a stronger nonlinear model component. Spike timing in the first group was better predicted by the sign and level of the LFP preceding the spike, whereas spike timing in the second group was better predicted by LFP power during a certain time window before the spike.