Note
Click here to download the full example code
Generate modeled activation maps with peaks2maps¶
Start with the necessary imports¶
import os
from nilearn.plotting import plot_glass_brain
import nimare
from nimare.tests.utils import get_test_data_path
Load Dataset¶
dset_file = os.path.join(get_test_data_path(), 'nidm_pain_dset.json')
dset = nimare.dataset.Dataset(dset_file)
Run peaks2maps¶
k = nimare.meta.cbma.kernel.Peaks2MapsKernel()
imgs = k.transform(dset, masked=True)
Plot modeled activation maps¶
for img in imgs:
display = plot_glass_brain(img, display_mode='lyrz',
plot_abs=False, colorbar=True,
vmax=1, threshold=0)
Total running time of the script: ( 0 minutes 0.000 seconds)