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