ERPLAB Studio Tutorial - ucdavis/erplab GitHub Wiki

This tutorial will go through the major processing steps involved in a typical ERP experiment using ERPLAB Studio, from importing the raw EEG data through creating averaged ERP waveforms and measuring the amplitudes and latencies of the ERP components.

The assumes that you already understand the basics of EEG and ERP processing. If you need to acquire that background, here are some resources to get you started:

• Introduction to ERPs (free online course that takes 3-4 hours to complete)
• An Introduction to the Event-Related Potential Technique (general theory behind ERP research)
• Applied Event-Related Potential Data Analysis (application of theory to real data)

We strongly recommend that you go through this tutorial before trying to use ERPLAB with your own data. At a minimum, we recommend going through Parts 1 and 2.

For a list of all ERPLAB Studio functions, along with detailed information about how to use them, please see the ERPLAB Studio Manual. If you run into problems, make sure you have installed ERPLAB correctly and then see our Troubleshooting and Frequently Asked Questions page.

If you have questions about using the software or comments of general interest, please post them to the ERPLAB email List. To report bugs, please send an email to [email protected] (including as much detail as possible so that we can reproduce the problem).

• General Overview
• Importing EEG Data
• Design of the Example Experiment
• Loading and Viewing the Data

• Filtering the EEG
• Events and the EventList
• Assigning Events to Bins
• Epoching and Baseline Correction
• Artifact Detection
• Averaging and Data Quality
• Artifact Correction and Related Operations
• Interpolating Bad Channels

• Plotting Averaged ERPs
• Viewing ERP Information
• Making a Grand Average
• Making Difference Waves and Other Bin Operations
• Filtering ERPs
• Averaging Across Channels with Channel Operations
• Rereferencing with Channel Operations
• Scoring Amplitudes and Latencies with the Measurement Tool

• Shifting Event Codes to Deal with Stimulus Delays (EEGsets)
• Converting Epoched EEG to Continuous EEG (EEGsets)
• Spectral Data Quality (EEGsets)
• Editing Channels and Locations (EEGsets and ERPsets)
• Re-Sampling and Re-Epoching (EEGsets and ERPsets)
• Converting Voltage to Current Source Density (EEGsets and ERPsets)