👋 Welcome
This is a MSc-level university seminar on analyzing EEG data in R. It follows a “code first” approach to teach the basics of event-related potential (ERP) analysis, from raw data to statistical modeling and visualization.
The code examples draw heavily on the eegUtils package.1
🧭 Course contents
| Session | Vignettes | Homework |
|---|---|---|
| 2022-11-29 | 1. Introduction to R | Read ERP CORE paper |
| 2022-12-06 |
2. Open data 3. Preprocessing |
Download ERP CORE data Apply preprocessing to your data |
| 2022-12-13 |
4. Creating epochs 5. Removing artifacts |
Create epochs Apply artifact correction and/or rejection |
| Happy Christmas holidays! 🎅🎁🎄 | ||
| 2023-01-03 |
6. Extracting amplitudes 7. Statistical modeling 8. Making plots |
Extract single trial ERP amplitudes Create at least one statistical model or plot Upload report to Moodle |
| Add-on topics | 9. Source localization 10. Time-frequency analysis 11. Multivariate analysis (decoding) |
🤗️ How to follow along
a) Interactive – local (recommended)
- Follow the instructions on the “Get started” page to download and install the required software
b) Interactive – cloud server
Hit this link (or the “Launch binder” button) to open the course materials on a cloud server kindly provided by the Binder project
Note that: (a) Launching the cloud server might take a couple of minutes, (b) resources (CPUs and memory) are limited, and (c) changes you make to the code will be lost at the end of the session
c) Static
Read through a static version of the course contents (“vignettes”) from your web browser
Does not allow you to run and/or modify any of the code