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

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

import matplotlib.pyplot as plt
from nilearn import plotting

title = "Partial correlation matrices of d=300'"
plt.imshow(partial_correlation, interpolation="nearest", cmap=plotting.cm.bwr)

Total running time of the script: ( 0 minutes 0.153 seconds)

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