extractY.py

from nilearn import datasets

from nilearn.input_data import NiftiLabelsMasker as NLM

# your rawdata filename
filename = './tfMRI_EMOTION_RL.nii.gz'

# download the atlas, which has two attributes: dataset.maps, dataset.labels
dataset = datasets.fetch_atlas_destrieux_2009()

# create a label masker object
masker = NLM(labels_img=dataset.maps, verbose=1)

# extract rois signals by its fit_transform method
# shape of the rois_signals is (timepoints, rois) so we use .T to obtain (rois, timepoints)
rois_signals = masker.fit_transform(filename).T