Glass brain plotting in nilearn

See Plotting brain images for more plotting functionalities.

dataset

This example uses a sample motor activation statistical map (image 10426 from Neurovault).

Load data

from nilearn import datasets

stat_img = datasets.load_sample_motor_activation_image()

Glass brain plotting: whole brain sagittal cuts

from nilearn import plotting

plotting.plot_glass_brain(stat_img, threshold=3)

<nilearn.plotting.displays._projectors.OrthoProjector object at 0x72034a79d0d0>

Glass brain plotting: black background

On a black background (option “black_bg”), and with only the x and the z view (option “display_mode”).

plotting.plot_glass_brain(
    stat_img,
    title="plot_glass_brain",
    black_bg=True,
    display_mode="xz",
    threshold=3,
)

<nilearn.plotting.displays._projectors.XZProjector object at 0x72036fe60310>

Glass brain plotting: Hemispheric sagittal cuts

plotting.plot_glass_brain(
    stat_img,
    title='plot_glass_brain with display_mode="lyrz"',
    display_mode="lyrz",
    threshold=3,
)

plotting.show()

Estimated memory usage: 277 MB