EEGMapping

Project repository as part of the Mapping project, exploring periodic and aperiodic activity across this the cortex.

This repository covers the EEG data analyses. A companion repository has the MEG analyses.

Overview

ToDo!

Reference

A preprint for this project is upcoming!

This project was presented at SfN 2018, the poster for which is available here.

Repository Layout

This repository contains analyses for two distinct datasets.

These datasets are labelled local and ChildMind, each with their own folder.

Within each folder, is the following organization:

• code/ contains custom code for the project
• notebooks/ contains Jupyter notebooks that step through analyses and creae figures
• scripts/ contains stand alone scripts that run parts of the analyses

Requirements

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

If you want to re-run this project, you will need some external dependencies.

Dependencies include 3rd party scientific Python packages:

• numpy
• scipy
• matplotlib

In addition, this project requires the following dependencies:

• mne >= 0.18.2
• fooof >= 1.0.0
• autoreject

Data

This repository analyses two distinct datasets of EEG data:

• local is a dataset of EEG dataset collected in the VoytekLab, at UC San Diego
  • Around 30 subjects, young adults
  • Main task is a visual psychophysics task
  • Includes resting state data
• ChildMind is the MIPDB Dataset, from the ChildMind institute
  • EEG Dataset across developmental ages: childhood -> adult
    • Link: http://fcon_1000.projects.nitrc.org/indi/cmi_eeg/eeg.html