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 nilearn.datasets.fetch_megatrawls_netmats documentation for more details.

Fetching the Megatrawls Network matrices#

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

from nilearn import datasets

netmats = datasets.fetch_megatrawls_netmats(
# Partial correlation matrices array of size (300, 300) are stored in the name
# of 'correlation_matrices'
partial_correlation = netmats.correlation_matrices


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

from nilearn import plotting

title = "Partial correlation matrices\n for d=300"
display = plotting.plot_matrix(partial_correlation, colorbar=True, title=title)
Partial correlation matrices  for d=300

Total running time of the script: (0 minutes 0.551 seconds)

Estimated memory usage: 9 MB

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