Note
Click here to download the full example code
Generate modeled activation maps with peaks2maps¶
Start with the necessary imports¶
import os
import numpy as np
import matplotlib.pyplot as plt
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)