Created
January 5, 2016 21:26
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Get the neighbors of target voxels
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""" | |
Get the neighbors of target voxels | |
""" | |
import numpy as np | |
from nilearn import datasets | |
from nilearn import input_data | |
from sklearn.feature_extraction import image | |
### Load nyu_rest dataset ##################################################### | |
nyu_dataset = datasets.fetch_nyu_rest(n_subjects=1) | |
nifti_masker = input_data.NiftiMasker(memory='nilearn_cache', | |
mask_strategy='epi', memory_level=1, | |
standardize=False) | |
func_filename = nyu_dataset.func[0] | |
fmri_masked = nifti_masker.fit_transform(func_filename) | |
mask = nifti_masker.mask_img_.get_data().astype(np.bool) | |
roi = mask[mask > 0] # but could be any niimg | |
# Compute connectivity matrix: which voxel is connected to which | |
shape = mask.shape | |
connectivity = image.grid_to_graph(n_x=shape[0], n_y=shape[1], | |
n_z=shape[2], mask=mask) | |
neighbors = connectivity.tolil().rows | |
# whant the neighbors only within a given roi ? | |
neighbors_within_roi = [neighbors[i] for i in range(mask.sum()) if roi[i]] | |
# then you can extract signals etc |
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