Now that the data is clean, it is time to calculate behaviorally relevant EEG derived measures. This series of tutorials guides you to plot ERPs, spectra, ERP-images, and time-frequency decompositions for EEG data and ICA-resolved EEG sources.

In this section, you may obtain custom plots from the MATLAB command line. It is currently not possible to obtain these plots from the EEGLAB menus. Table of contents . Time-frequency plot on all electrodes; Plotting measures in scalp topography. Plot time-frequency decomposition; Plot ERP image; Creating scalp topography animations

Here we will plot ERP data for a series of 2-D scalp maps representing potential distributions at a selected series of trial latencies. Select Plot → ERP map series → In 2-D . In the top text box of the resulting pop_topoplot.m window (below), type …

Here, we show how to use EEGLAB to make 2-D ERP-image plots of collections of single trials, sorted by any of many possibly relevant variables.

Plot Channel Spectra and Maps . To plot the channel spectra and associated topographical maps, select Plot → Channel spectra and maps. This will pop up the pop_spectopo.m window (below). Leave the default settings and press Ok. The function should return a spectopo.m plot (below).

A significant ITC indicates that the EEG activity at a given time and frequency in single trials becomes phase-locked (not phase-random with respect to the time-locking experimental event). Here, ITC briefly increases at about 10 Hz (at about the same time as …

To plot data for a single subject, press the Plot ERPs pushbutton on the right column for subject gro. A plot like the one below should appear. This is useful for reviewing an individual subject’s ERPs. Plotting all channel ERPs . Finally, you may also plot all scalp channels simultaneously.

Here are the most common steps you might want to take when processing EEG data at the single-subject level: EEGLAB Tutorial. 1. Installing EEGLAB; 2. Quickstart; 3. Dataset management; 4. Import data; a. Continuous data; b. Events; c. Importing channel locations; d. Brain Imaging Data Structure data; 5. Preprocess data; a. Filtering; b. Re ...

To plot the contribution of component ERPs to the data ERP, select Plot → Component ERPs → with component maps, which calls the pop_envtopo.m function. Simply press Ok to plot the 7 components that contribute the most to the dataset’s average ERP.

Spectral analysis of EEG signal is a central part of EEG data analysis. In this section, we will review the basic concepts underlying EEG spectral analysis. For a complete introduction to spectral analysis in EEG research, you may watch this series of short videos.