EEG - Spectral Parameterization

Project repository, part of the parameterizing neural power spectra project.

This repository applies spectral parameterization to EEG data.

Overview

This repository applies the spectral parameterization algorithm to EEG data.

Analyses include:

• comparing resting state measures between young and old subjects
• task analyses of a working memory task, predicting behaviour using parameterized outputs

Project Guide

You can follow along with this project by looking through everything in the notebooks.

Reference

The analyses in this repository were done as part of the parameterizing neural power spectra paper.

A guide to all the analyses included in this paper is available here.

Requirements

This project was written in Python 3 and requires Python >= 3.7 to run.

Dependencies include 3rd party scientific Python packages:

• numpy
• scipy
• pandas
• statsmodels
• matplotlib

In addition to general scientific Python packages, this analysis requires:

• mne
• autoreject
• fooof == 1.0.0

Repository Layout

This project repository is set up in the following way:

• code/ contains custom code for this analysis
• figures/ contains all the figures produced from during this analysis
• notebooks/ is a collection of Jupyter notebooks that step through the project and create the figures
• scripts/ contains stand alone scripts that run parts of the project

Data

This project uses an electroencephalography (EEG) dataset, with a working memory task.