Project repository, part of the parameterizing neural power spectra project.
This repository applies spectral parameterization to MEG data.
This repository applies the spectral parameterization algorithm to MEG data.
Analyses include:
- applying power spectrum parameterization to a large dataset of resting state MEG data
- exploring the spectral parameters across the cortex with source projected data
Note that this repository only does the analysis of the analysis of the neural power spectra, after pre-processing.
Pre-processing for this data was mostly done with Brainstorm.
Custom processing code was used in this analysis, available in the omapping repository.
You can follow along with this project by looking through everything in the notebooks.
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.
This project was written in Python 3 and requires Python >= 3.7 to run.
Dependencies include 3rd party scientific Python packages:
In addition to general scientific Python packages, this analysis requires:
This project repository is set up in the following way:
notebooks/is a collection of Jupyter notebooks that step through the project and create the figures
This project uses magnetoencephalograpy (MEG) data, from the Human Connectome Project (HCP) project Young Adult dataset.