On variability in local field potentials — data and code

Data and MATLAB analysis code (Github) accompanying the preprint "On variability in local field potentials" (bioRxiv, 2025). We empirically show that outside of evoked potentials, the across-trial variance (ATV) of the EEG or local field potential (LFP) is very highly correlated to the intra-trial variance (ITV), which corresponds to the well-known power metric. We propose that LFP power, rather than the raw LFP signal, should be considered for putative changes in its variability. LFP power variability is quantified as the CV of the power. This repository contains pre-processed LFP data files (.mat) for MATLAB scripts reproducing the main figures本数据集配套2025年发布于bioRxiv的预印本论文《论局部场电位的变异性》（"On variability in local field potentials"），包含相关数据与MATLAB分析代码，相关代码托管于GitHub平台。本研究通过实验证实：在诱发电位范畴之外，脑电图（electroencephalogram, EEG）或局部场电位（local field potentials, LFP）的跨试次方差（across-trial variance, ATV）与试次内方差（intra-trial variance, ITV）呈现极强的相关性，而后者对应学界熟知的功率指标。我们提出，当探究局部场电位变异性的潜在变化时，应考量局部场电位功率，而非原始局部场电位信号。局部场电位功率的变异性可通过功率的变异系数（coefficient of variation, CV）进行量化。本GitHub代码仓库包含用于复现论文主图的MATLAB脚本所需的预处理后局部场电位数据文件（.mat格式）。