Theta and alpha power across fast and slow timescales in cognitive control

Significance

This GitHub repository stores code and processed data files used for the paper published in European Journal of Neuroscience. The entire dataset (EEG + behavioral data) can be downloaded from Zenodo.

Folders

0. Software environment
   • Conda environment files (MNE, psychopy, analysis)
1. Experiment
   • Code: experiment code (PsychoPy3)
   • Stimuli: adopted with permission from Ruge and Wolfensteller (2010).
2. Data preparation
   • Behavioral: cleaning behavioral data + descriptive stats
   • EEG: custom EEG analysis pipeline + data cleaning
3. Analysis
   • Plotting (Python 3) + statistics (R) scripts.
4. Plots
   • Scripts to recreate plots shown in the paper

Programming environment

Python 3 Anaconda environment files

• PsychoPy3 (experiment run)
• EEG analysis (MNE)
• Data shaping and plotting

Unsure how to use these files? We refer to the Anaconda3 documentation

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R (v. 3.6.3 - "Holding the Windsock")
Extra packages needed:

• dplyr v. 1.02
• lme4 v. 1.1-26
• lmerTest v. 3.1-3

Contact

Pieter Huycke (corresponding author)

0000-0002-8156-4419

Mail me concerning this paper

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Tom Verguts (principle investigator)

0000-0002-7783-4754

Mail me concerning this paper

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