Lab Training Modules

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Overview

This set of lab modules is designed to train beginning undergraduate research assistants in basic EEG/ERP lab protocols and data processing. These streamlined modules focus on the steps involved in basic EEG/ERP data processing.

Six labs are currently available with step-by-step instructions, lab worksheets, and data sets. Check back soon for forthcoming lab materials.

Estimated teach time: 45 minutes.

When using the PURSUE Lab Training Modules please cite the below in any publications:
PURSUE Teaching Modules [Lab Training Modules]. C. M. Bukach, J. W. Couperus, & C. L. Reed, 2022, www.pursueerp.com. CC BY-NC-SA.

Download Training Labs
  • How to Set Up an EEG Lab (forthcoming)
    Suggestions for lab consumables and equipment connections
  • How to Set Up Matlab & EEGlab
    Suggestions for downloading software and preparing it for use on individual computers
  • Filtering EEG/ERP Data
    Step-by-step protocol for initial steps in pre-processing EEG data using EEGlab/ERPlab
  • Bad Channels Through Epoching
    Step-by-step protocol for segmenting EEG data using EEGlab/ERPlab
  • Artifact Rejection: Blinks
    Step-by-step protocol for removing eye blinks from EEG data using EEGlab/ERPlab
  • Artifact Rejection: ICA (forthcoming)
    Associated Teaching Modules: Full Semester Course Module 9: Data Preprocessing, Independent Component Analysis Unit Artifact Rejection: Blinks Step-by-step protocol for removing eye blinks from EEG data using EEGlab/ERPlab Averaging and Grand Averages Step-by-step protocol for averaging data within individual data sets and across data sets using EEGlab/ERPlab and basic waveform plotting
  • Averaging & Grand Averages
    Step-by-step protocol for averaging data within individual data sets and across data sets using EEGlab/ERPlab and basic waveform plotting
  • Waveform Quantification
    Step-by-step protocol for extracting amplitude and latency measures from waveforms
  • Statistical Analysis and Interpretation
    Step-by-step protocol for importing text data files into a statistical package and conducting simple condition comparisons