This repository hold the preprocessing and analysis script for the EEG-pupil CIT study conducted by Robbert van der Mijn and Elkan Akyurek in 2023.

To run these analyses, clone this repository to your own system

git clone https://github.com/robbertmijn/eeg_cit_analysis

Install a package manager such as Anaconda. The GUI of Anaconda allows you to find IDE's in which you can write, review and run python scripts (such as Spyder or VSCode). From the terminal, you can ask Anaconda to create a new environment which can help keeping packages and their versions separated between projects:

conda create --name eeg

Each time you use python somewhere, make sure to activate that environment:

conda activate eeg

Most GUI's allow you to select which environment is used by default (which saves you from having to activate it each time you start the GUI.

Install eeg_eyetracking_parser. This will also install a number of other required packages. If installation is not succesfull, try to manually install the packages listed here. Make sure you do this step while your conda env is activated:

pip install eeg_eyetracking_parser

Copy participant data to your cloned directory. The data should be in BIDS format. Start with 1 pp to test the pipeline.

Process data using the batch processor. We can pass some arguments to the scripts by using this syntax:

python batch_process.py --n-process 4 --subjects 3 --GA_stats False