Note

Go to the end to download the full example code. or to run this example in your browser via Binder

NeuroVault cross-study ICA maps

This example shows how to download statistical maps from NeuroVault, label them with NeuroSynth terms, and compute ICA components across all the maps.

See fetch_neurovault documentation for more details.

import numpy as np
from scipy import stats
from sklearn.decomposition import FastICA

from nilearn.datasets import fetch_neurovault, load_mni152_brain_mask
from nilearn.image import smooth_img
from nilearn.maskers import NiftiMasker
from nilearn.plotting import plot_stat_map, show

Get image and term data

# Download images
# Here by default we only download 80 images to save time,
# but for better results I recommend using at least 200.
print(
    "Fetching Neurovault images; "
    "if you haven't downloaded any Neurovault data before "
    "this will take several minutes."
)
nv_data = fetch_neurovault(
    max_images=30, fetch_neurosynth_words=True, timeout=30.0
)

images = nv_data["images"]
term_weights = nv_data["word_frequencies"]
vocabulary = nv_data["vocabulary"]
if term_weights is None:
    term_weights = np.ones((len(images), 2))
    vocabulary = np.asarray(["Neurosynth is down", "Please try again later"])

# Clean and report term scores
term_weights[term_weights < 0] = 0
total_scores = np.mean(term_weights, axis=0)

print("\nTop 10 neurosynth terms from downloaded images:\n")

for term_idx in np.argsort(total_scores)[-10:][::-1]:
    print(vocabulary[term_idx])

Fetching Neurovault images; if you haven't downloaded any Neurovault data before this will take several minutes.
[fetch_neurovault] Dataset directory found: /home/runner/nilearn_data/neurovault
[fetch_neurovault] Reading local neurovault data.
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=32980
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1952/neurosynth_words_for_image_32980.json
[fetch_neurovault] Already fetched 1 image
[fetch_neurovault] 1 image found on local disk.
[fetch_neurovault] Reading server neurovault data.
[fetch_neurovault] Scroll collections: getting new batch:
        https://neurovault.org/api/collections/?limit=100&offset=0
[fetch_neurovault] Scroll collections: batch size: 100
[fetch_neurovault] Scroll images from collection 921: getting new batch:
        https://neurovault.org/api/collections/921/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 921: batch size: 1
[fetch_neurovault] On neurovault.org: no image matched query in collection 921
[fetch_neurovault] Scroll images from collection 440: getting new batch:
        https://neurovault.org/api/collections/440/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 440: batch size: 2
[fetch_neurovault] On neurovault.org: no image matched query in collection 440
[fetch_neurovault] Scroll images from collection 496: getting new batch:
        https://neurovault.org/api/collections/496/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 496: batch size: 1
[fetch_neurovault] On neurovault.org: no image matched query in collection 496
[fetch_neurovault] Scroll images from collection 4008: getting new batch:
        https://neurovault.org/api/collections/4008/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 4008: batch size: 1
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/4008/spmT_0001.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_4008/image_65426.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=65426
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_4008/neurosynth_words_for_image_65426.json
[fetch_neurovault] Already fetched 2 images
[fetch_neurovault] On neurovault.org: 1 image matched query in collection 4008
[fetch_neurovault] Scroll images from collection 4: getting new batch:
        https://neurovault.org/api/collections/4/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 4: batch size: 1
[fetch_neurovault] On neurovault.org: no image matched query in collection 4
[fetch_neurovault] Scroll images from collection 79: getting new batch:
        https://neurovault.org/api/collections/79/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 79: batch size: 5
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/79/neurosynth_spectral_01.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_79/image_11020.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=11020
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_79/neurosynth_words_for_image_11020.json
[fetch_neurovault] Already fetched 3 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/79/neurosynth_spectral_01_1.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_79/image_11021.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=11021
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_79/neurosynth_words_for_image_11021.json
[fetch_neurovault] Already fetched 4 images
[fetch_neurovault] On neurovault.org: 2 images matched query in collection 79
[fetch_neurovault] Scroll images from collection 1257: getting new batch:
        https://neurovault.org/api/collections/1257/images/?limit=100&offset=0
[fetch_neurovault] Scroll images from collection 1257: batch size: 100
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/abstract_knowledge_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17327.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17327
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17327.json
[fetch_neurovault] Already fetched 5 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/acoustic_processing_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17328.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17328
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17328.json
[fetch_neurovault] Already fetched 6 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/action_perception_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17329.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17329
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17329.json
[fetch_neurovault] Already fetched 7 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/action_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17330.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17330
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17330.json
[fetch_neurovault] Already fetched 8 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/activation_level_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17331.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17331
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17331.json
[fetch_neurovault] Already fetched 9 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/activation_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17332.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17332
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17332.json
[fetch_neurovault] Already fetched 10 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/active_maintenance_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17333.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17333
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17333.json
[fetch_neurovault] Already fetched 11 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/active_retrieval_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17334.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17334
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17334.json
[fetch_neurovault] Already fetched 12 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/acuity_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17335.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17335
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17335.json
[fetch_neurovault] Already fetched 13 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/adaptation_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17336.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17336
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17336.json
[fetch_neurovault] Already fetched 14 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/adaptive_control_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17337.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17337
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17337.json
[fetch_neurovault] Already fetched 15 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/addiction_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17338.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17338
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17338.json
[fetch_neurovault] Already fetched 16 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/affect_perception_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17339.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17339
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17339.json
[fetch_neurovault] Already fetched 17 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/affect_recognition_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17340.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17340
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17340.json
[fetch_neurovault] Already fetched 18 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/agency_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17341.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17341
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17341.json
[fetch_neurovault] Already fetched 19 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/agreeableness_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17342.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17342
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17342.json
[fetch_neurovault] Already fetched 20 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/altruism_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17343.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17343
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17343.json
[fetch_neurovault] Already fetched 21 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/altruistic_motivation_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17344.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17344
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17344.json
[fetch_neurovault] Already fetched 22 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/alveolar_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17345.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17345
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17345.json
[fetch_neurovault] Already fetched 23 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/amodal_representation_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17346.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17346
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17346.json
[fetch_neurovault] Already fetched 24 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/analogical_reasoning_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17347.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17347
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17347.json
[fetch_neurovault] Already fetched 25 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/analogy_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17348.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17348
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17348.json
[fetch_neurovault] Already fetched 26 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/anchoring_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17349.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17349
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17349.json
[fetch_neurovault] Already fetched 27 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/anhedonia_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17350.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17350
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17350.json
[fetch_neurovault] Already fetched 28 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/animacy_decision_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17351.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17351
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17351.json
[fetch_neurovault] Already fetched 29 images
[fetch_neurovault] Downloading file:
http://neurovault.org/media/images/1257/animacy_perception_regparam.nii.gz
[fetch_neurovault] Download succeeded, downloaded to:
/home/runner/nilearn_data/neurovault/collection_1257/image_17352.nii.gz
[fetch_neurovault] Downloading file:
https://neurosynth.org/api/decode/?neurovault=17352
[fetch_neurovault] Download succeeded, downloaded to: /home/runner/nilearn_data/
neurovault/collection_1257/neurosynth_words_for_image_17352.json
[fetch_neurovault] Already fetched 30 images
[fetch_neurovault] Computing word features.
[fetch_neurovault] Computing word features done; vocabulary size: 1315

Top 10 neurosynth terms from downloaded images:

parietal
motor
premotor
tasks
movements
intraparietal
task
intraparietal sulcus
premotor cortex
phonological

Reshape and mask images

import warnings

print("\nReshaping and masking images.\n")

mask_img = load_mni152_brain_mask(resolution=2)
masker = NiftiMasker(
    mask_img=mask_img, memory="nilearn_cache", memory_level=1, verbose=1
)
masker = masker.fit()

# Images may fail to be transformed, and are of different shapes,
# so we need to transform one-by-one and keep track of failures.
X = []
is_usable = np.ones((len(images),), dtype=bool)

for index, image_path in enumerate(images):
    # load image and remove nan and inf values.
    # applying smooth_img to an image with fwhm=None simply cleans up
    # non-finite values but otherwise doesn't modify the image.
    image = smooth_img(image_path, fwhm=None)
    try:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            X.append(masker.transform(image))
    except Exception as e:
        meta = nv_data["images_meta"][index]
        print(
            f"Failed to mask/reshape image: id: {meta.get('id')}; "
            f"name: '{meta.get('name')}'; "
            f"collection: {meta.get('collection_id')}; error: {e}"
        )
        is_usable[index] = False

# Now reshape list into 2D matrix, and remove failed images from terms
X = np.vstack(X)
term_weights = term_weights[is_usable, :]

Reshaping and masking images.

\[NiftiMasker.fit] Loading mask from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d660>
\[NiftiMasker.fit] Resampling mask
________________________________________________________________________________
[Memory] Calling nilearn.image.resampling.resample_img...
resample_img(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, target_affine=None, target_shape=None, copy=False, interpolation='nearest')
_____________________________________________________resample_img - 0.0s, 0.0min
\[NiftiMasker.fit] Finished fit
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375c2b0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375f5e0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.3s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375f100>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375ecb0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.3s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5950ee0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a59521d0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.3s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375fc40>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d0f0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d480>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5950040>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a59531c0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5951a50>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5951900>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d480>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d090>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375f2b0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375c400>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5950b50>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a59509a0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a59508b0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5953ac0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a59501c0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5950790>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5952530>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d480>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d300>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d5d0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d9c0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5953160>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5950be0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5952440>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a59521d0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375d0c0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375e8f0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a59521d0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5950310>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375e350>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac149b10>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5952440>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a5950310>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375ea10>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac14bdc0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14ac14b610>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac148070>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a59512d0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d960>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14ac14b820>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac14acb0>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a5950310>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375d960>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14ac14a9b0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac14b310>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14a375c400>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375e350>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14ac14ba60>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14ac149630>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min
________________________________________________________________________________
[Memory] Calling nilearn.maskers.nifti_masker.filter_and_mask...
filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x7f14ac148dc0>, <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>, { 'clean_args': None,
  'clean_kwargs': {},
  'cmap': 'gray',
  'detrend': False,
  'dtype': None,
  'high_pass': None,
  'high_variance_confounds': False,
  'low_pass': None,
  'reports': True,
  'runs': None,
  'smoothing_fwhm': None,
  'standardize': False,
  'standardize_confounds': True,
  't_r': None,
  'target_affine': None,
  'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=1, confounds=None, sample_mask=None, copy=True, sklearn_output_config=None)
\[NiftiMasker.wrapped] Loading data from <nibabel.nifti1.Nifti1Image object at
0x7f14a375ed10>
\[NiftiMasker.wrapped] Resampling images
\[NiftiMasker.wrapped] Extracting region signals
\[NiftiMasker.wrapped] Cleaning extracted signals
__________________________________________________filter_and_mask - 0.2s, 0.0min

Run ICA and map components to terms

print("Running ICA; may take time...")
# We use a very small number of components as we have downloaded only 80
# images. For better results, increase the number of images downloaded
# and the number of components
n_components = 8
fast_ica = FastICA(n_components=n_components, random_state=0)
ica_maps = fast_ica.fit_transform(X.T).T

term_weights_for_components = np.dot(fast_ica.components_, term_weights)
print("Done, plotting results.")

Running ICA; may take time...
Done, plotting results.

Generate figures

for index, (ic_map, ic_terms) in enumerate(
    zip(ica_maps, term_weights_for_components, strict=False)
):
    if -ic_map.min() > ic_map.max():
        # Flip the map's sign for prettiness
        ic_map = -ic_map
        ic_terms = -ic_terms

    ic_threshold = stats.scoreatpercentile(np.abs(ic_map), 90)
    ic_img = masker.inverse_transform(ic_map)
    important_terms = vocabulary[np.argsort(ic_terms)[-3:]]
    title = f"IC{int(index)}  {', '.join(important_terms[::-1])}"

    plot_stat_map(ic_img, threshold=ic_threshold, colorbar=False, title=title)
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
  • plot ica neurovault
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([ 0.446254, ..., -0.116826]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.1s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([0.003794, ..., 0.138935]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([-0.943755, ..., -1.277218]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([-0.013288, ..., -0.005942]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([-0.041787, ..., -0.324892]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([-0.18023 , ...,  0.289596]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([-0.265301, ..., -0.290405]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min
\[NiftiMasker.inverse_transform] Computing image from signals
________________________________________________________________________________
[Memory] Calling nilearn.masking.unmask...
unmask(array([0.024094, ..., 0.014214]), <nibabel.nifti1.Nifti1Image object at 0x7f14a375d810>)
___________________________________________________________unmask - 0.0s, 0.0min

As we can see, some of the components capture cognitive or neurological maps, while other capture noise in the database. More data, better filtering, and better cognitive labels would give better maps

# Done.
show()

Total running time of the script: (0 minutes 46.300 seconds)

Estimated memory usage: 347 MB

Gallery generated by Sphinx-Gallery