大鼠前额叶皮层多通道局部场电位和锋电位的频谱相干对工作记忆事件的编码

目的 基于大鼠前额叶皮层多通道局部场电位和锋电位的频谱相干编码,研究不同模态的神经信号如何相互协同编码工作记忆行为事件.方法 应用Cerebus多通道信号采集系统,记录大鼠Y迷宫工作记忆行为事件中在体前额叶皮层上同时记录的2类不同模态的多通道神经信号:连续的多通道局部场电位(LFPs)和离散的多通道锋电位(Spikes...

Multi-channel local field potential-spike spectrum coherence in rat prefrontal cortex on the encoding of working memory

Objective To investigate how neural signals coherently encode working memory based on spectrum coherence of two types of multi-channel neural signals from rat prefrontal cortex. Methods Cerebus 128 Data Acquisition System was introduced to record two types of multi-channel neural singals: continuous time series (local field potentials, LFPs) and discrete time series (spikes), which were acquired on prefrontal cortex of rats during working memory task of Y maze. Short-Time Fouries Transform (STFT) was applied to calculate the power spectrum density (PSD) of LFPs. Experiment data of multi-channel LFPs-Spikes were obtained from time interval of 5s before and after the event. Spectrum coherence of LFP and spike from each channel was calculated in the Multitaper window with 500ms length sliding from the beginning and 125ms overlapping. Results Spectrum coherence of 0.3-15 Hz multi-channel LFPs-Spikes at 2-4 s increased with statistical significance (P＜0.05). Conclusion Our results suggest that spectrum coherence of multi-channel LFPs-Spikes encodes and predicts the event effectively.