Visualizing Megatrawls Network Matrices from Human Connectome Project

This example shows how to fetch network matrices data from HCP beta-release of the Functional Connectivity Megatrawl project.

See fetch_megatrawls_netmats documentation and the dataset description for more details.

Fetching the Megatrawls Network matrices

Fetching the partial correlation matrices of dimensionality d=300 with timeseries method ‘eigen regression’

from nilearn.datasets import fetch_megatrawls_netmats

netmats = fetch_megatrawls_netmats(
    dimensionality=300,
    timeseries="eigen_regression",
    matrices="partial_correlation",
)
# Partial correlation matrices array of size (300, 300) are stored in the name
# of 'correlation_matrices'
partial_correlation = netmats.correlation_matrices.to_numpy()

Visualization

Import nilearn plotting modules to use its utilities for plotting correlation matrices

from nilearn.plotting import plot_matrix, show

title = "Partial correlation matrices\n for d=300"
display = plot_matrix(partial_correlation, title=title)
show()

Estimated memory usage: 0 MB