Oscillation Methods project repository: methodological considerations for studying neural oscillations.

This project is a overview of methodological considerations for analyzing neural oscillations.

Using simulated data, we explore the relationship between data properties and common analysis approaches, highlighting potential issues, organized into a collection of 7 methodological considerations.

These methodological considerations are:

• #1) verifying the presence of oscillations
• #2) band definitions
• #3) aperiodic activity
• #4) temporal variability
• #5) waveform shape
• #6) overlapping rhythms / source separation
• #7) power confounds / signal-to-noise ratio

Each topic is covered by a notebook in this repository.

This project is described in the following paper:

Donoghue T, Schaworonkow N, & Voytek B (2022). Methodological considerations for studying neural 
oscillations. European Journal of Neuroscience, 55(11-12), 3502-3527 DOI: 10.1111/ejn.15361

Direct Link: https://onlinelibrary.wiley.com/doi/10.1111/ejn.15361

If you want to re-run this project, you can install the required dependencies and re-run the notebooks.

This repository requires Python (>=3.6), and standard scientific packages.

This project also requires the following additional packages:

• neurodsp >= 2.2.0
• bycycle >= 0.1.3
• fooof >= 1.0.0

The general set of requirements is listed in requirements.txt. Note that some notebooks have additional requirements, that are listed in the notebook.