.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/07_advanced/plot_age_group_prediction_cross_val.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_07_advanced_plot_age_group_prediction_cross_val.py>`
        to download the full example code. or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_07_advanced_plot_age_group_prediction_cross_val.py:


Functional connectivity predicts age group
==========================================

This example compares different kinds of :term:`functional connectivity`:
correlation, partial correlation, and tangent space embedding.
The resulting connectivity coefficients are then used to classify
participants by age group; i.e., children or adults.

This is a small example to showcase Nilearn features;
see :footcite:t:`Dadi2019` for a careful study.

.. GENERATED FROM PYTHON SOURCE LINES 15-19

Load brain development :term:`fMRI` dataset
-------------------------------------------
To save computation time, we will use only a subset of subjects from
the :func:`~nilearn.datasets.fetch_development_fmri` dataset.

.. GENERATED FROM PYTHON SOURCE LINES 19-23

.. code-block:: Python

    from nilearn.datasets import fetch_atlas_msdl, fetch_development_fmri

    development_dataset = fetch_development_fmri(n_subjects=60)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [fetch_development_fmri] Dataset directory found: /home/runner/work/nilearn/nilearn/nilearn_data/development_fmri




.. GENERATED FROM PYTHON SOURCE LINES 24-35

Load Multi-Subject Dictionary Learning (MSDL) atlas and extract time series
---------------------------------------------------------------------------
We use probabilistic regions of interest (ROIs) defined
using the :func:`~nilearn.datasets.fetch_atlas_msdl` atlas.

We then use the :class:`~nilearn.maskers.MultiNiftiMapsMasker` object
to extract time series from the pre-defined ROIs for each subject.
We could instead do this iteratively for each subject
using :class:`~nilearn.maskers.NiftiMapsMasker` objects,
but :class:`~nilearn.maskers.MultiNiftiMapsMasker` allows to
extract time series for all subjects in a single step.

.. GENERATED FROM PYTHON SOURCE LINES 35-57

.. code-block:: Python


    from nilearn.maskers import MultiNiftiMapsMasker

    msdl_data = fetch_atlas_msdl()

    masker = MultiNiftiMapsMasker(
        msdl_data.maps,
        resampling_target="data",
        t_r=development_dataset.t_r,
        detrend=True,
        low_pass=0.1,
        high_pass=0.01,
        memory="nilearn_cache",
        memory_level=1,
        standardize_confounds=True,
        standardize="zscore_sample",
        verbose=1,
    )
    masked_data = masker.fit_transform(
        development_dataset.func, confounds=development_dataset.confounds
    )





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [fetch_atlas_msdl] Dataset directory found: /home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas
    [MultiNiftiMapsMasker.fit_transform] Loading data from [
     sub-pixar135_task-...,
             ...
     sub-pixar030_task-...,
    ]
    [MultiNiftiMapsMasker.fit_transform] Loading regions from .../msdl_rois.nii
    [MultiNiftiMapsMasker.fit_transform] Resampling regions
    [MultiNiftiMapsMasker.fit_transform] Finished fit
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab400>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar135_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab400>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a83a0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar135_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17ab400>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17a9900>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar123_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17a9900>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17aa500>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar123_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17a9900>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17aa560>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar124_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17aa560>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a8a00>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar124_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17aa560>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab1f0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar125_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab1f0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a91e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar125_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17ab1f0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17a8ac0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar126_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17a8ac0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17abb80>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar126_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17a8ac0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17a8520>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar127_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17a8520>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17aa560>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar127_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17a8520>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0fd0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar134_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0fd0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a9e40>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar134_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0fd0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar129_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c17e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar129_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2770>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar130_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2770>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0310>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar130_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2770>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c24d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar131_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c24d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0f10>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar131_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c24d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2260>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar132_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2260>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c3cd0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar132_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2260>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17a98d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar133_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17a98d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a80d0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar133_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17a98d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0370>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar128_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0370>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0820>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar128_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0370>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab520>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar032_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17ab520>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17a91e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar032_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17ab520>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2da17a91e0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar033_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2da17a91e0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2da17ab8e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar033_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2da17a91e0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c19f0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar034_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c19f0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c3700>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar034_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c19f0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2a70>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar035_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2a70>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0f70>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar035_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2a70>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2e00>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar036_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2e00>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c1810>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar036_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2e00>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c03d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar037_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c03d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c2770>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar037_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c03d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c3400>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar038_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c3400>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0850>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar038_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c3400>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2950>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar041_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2950>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c1930>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar041_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2950>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103cbe0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar040_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103cbe0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c2140>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar040_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103cbe0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1f30>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar042_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1f30>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c2200>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar042_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1f30>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c12a0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar043_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c12a0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c3f70>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar043_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c12a0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103e470>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar044_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103e470>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103d060>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar044_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103e470>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103e6e0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar031_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103e6e0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103d870>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar031_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103e6e0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103ff40>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar046_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103ff40>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103e8f0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar046_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103ff40>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103e1a0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar047_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103e1a0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103ded0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar047_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103e1a0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103e860>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar039_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103e860>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103ec80>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar039_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103e860>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103dcc0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar045_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103dcc0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103eb30>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar045_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103dcc0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103e920>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar001_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103e920>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103ead0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar001_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103e920>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103dae0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar028_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103dae0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103fee0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar028_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103dae0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103ed40>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar002_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103ed40>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103eb90>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar002_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103ed40>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0c40>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar003_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0c40>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103fc70>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar003_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0c40>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103d3f0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar004_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103d3f0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103d7e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar004_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103d3f0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar005_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103f250>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar005_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c2ce0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103ded0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar006_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103ded0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c38e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar006_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103ded0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103f250>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar007_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103f250>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c2b30>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar007_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103f250>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c15d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar008_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c15d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c0ee0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar008_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c15d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15570>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar009_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15570>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c3010>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar009_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd15570>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15930>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar010_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15930>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103d0c0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar010_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd15930>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15d50>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar011_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15d50>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103d0c0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar011_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd15d50>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15ab0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar012_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd15ab0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd141f0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar012_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd15ab0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd14b50>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar013_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd14b50>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd14790>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar013_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd14b50>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd16ec0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar029_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd16ec0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd14100>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar029_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd16ec0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43dea10>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar014_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43dea10>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd14a30>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar014_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43dea10>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd155d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar016_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd155d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd16f20>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar016_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd155d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd17370>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar017_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd17370>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd16680>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar017_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd17370>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd14be0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar018_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd14be0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c03a0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar018_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd14be0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0bb0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar019_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0bb0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c23e0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar019_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c0bb0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd17850>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar020_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd17850>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc45c2230>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar020_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd17850>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2db103dd80>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar021_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2db103dd80>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd164a0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar021_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2db103dd80>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1cf0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar022_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1cf0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd143a0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar022_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc45c1cf0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd154e0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar023_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd154e0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2db103f700>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar023_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd154e0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43df6d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar024_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43df6d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd16710>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar024_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43df6d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dafd176d0>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar025_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dafd176d0>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd15ea0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar025_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dafd176d0>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43df730>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar026_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43df730>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dafd155d0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar026_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43df730>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 1.0s, 0.0min
    ____________________________________________transform_single_imgs - 1.4s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43de110>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar027_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43de110>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc43df1f0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar027_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43de110>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43dde70>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar015_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43dde70>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc43df640>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar015_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43dde70>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.nifti_maps_masker.transform_single_imgs...
    transform_single_imgs(imgs=<nibabel.nifti1.Nifti1Image object at 0x7f2dc43deb60>, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar030_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None)
    ________________________________________________________________________________
    [Memory] Calling nilearn.maskers.base_masker.filter_and_extract...
    filter_and_extract(<nibabel.nifti1.Nifti1Image object at 0x7f2dc43deb60>, <nilearn.maskers.nifti_maps_masker._ExtractionFunctor object at 0x7f2dc43de2f0>, { 'allow_overlap': True,
      'clean_args': None,
      'clean_kwargs': {},
      'cmap': 'CMRmap_r',
      'detrend': True,
      'dtype': None,
      'high_pass': 0.01,
      'high_variance_confounds': False,
      'keep_masked_maps': False,
      'low_pass': 0.1,
      'maps_img': '/home/runner/work/nilearn/nilearn/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii',
      'mask_img': None,
      'reports': True,
      'smoothing_fwhm': None,
      'standardize': 'zscore_sample',
      'standardize_confounds': True,
      't_r': 2,
      'target_affine': None,
      'target_shape': None}, confounds='/home/runner/work/nilearn/nilearn/nilearn_data/development_fmri/sub-pixar030_task-pixar_desc-reducedConfounds_regressors.tsv', sample_mask=None, memory=Memory(location=nilearn_cache/joblib), memory_level=1, verbose=1, sklearn_output_config=None)
    [MultiNiftiMapsMasker.fit_transform] Loading data from <nibabel.nifti1.Nifti1Image object at 0x7f2dc43deb60>
    [MultiNiftiMapsMasker.fit_transform] Extracting region signals
    [MultiNiftiMapsMasker.fit_transform] Cleaning extracted signals
    _______________________________________________filter_and_extract - 0.9s, 0.0min
    ____________________________________________transform_single_imgs - 1.3s, 0.0min




.. GENERATED FROM PYTHON SOURCE LINES 58-75

What kind of connectivity is most powerful for classification?
--------------------------------------------------------------
We will next define connectivity matrices using
:func:`~nilearn.connectome.ConnectivityMeasure`
so that we can use each matrix as features in our classification analysis.
Since our goal is to compare different kinds of connectivity,
we will define three different kinds of connectivity matrices,
(i.e., "correlation", "partial correlation", "tangent")
using the ``kind`` parameter.

To do this, we will use a scikit-learn :class:`~sklearn.pipeline.Pipeline` to
combine the connectivity measure and the classifier into a single object.
Specifically, we will create a composite estimator with
:func:`~nilearn.connectome.ConnectivityMeasure` and
:class:`sklearn.model_selection.GridSearchCV` to perform a grid search
over the ``C`` regularization parameter for our
classifier, a :class:`sklearn.svm.LinearSVC`.

.. GENERATED FROM PYTHON SOURCE LINES 75-110

.. code-block:: Python


    # prepare the classification pipeline
    from sklearn.dummy import DummyClassifier
    from sklearn.model_selection import GridSearchCV
    from sklearn.pipeline import Pipeline
    from sklearn.svm import LinearSVC

    from nilearn.connectome import ConnectivityMeasure

    kinds = ["correlation", "partial correlation", "tangent"]

    pipe = Pipeline(
        [
            (
                "connectivity",
                ConnectivityMeasure(
                    vectorize=True,
                ),
            ),
            (
                "classifier",
                GridSearchCV(
                    LinearSVC(dual=True, random_state=0),
                    {"C": [0.1, 1.0, 10.0]},
                    cv=5,
                ),
            ),
        ]
    )

    param_grid = [
        {"classifier": [DummyClassifier(strategy="most_frequent")]},
        {"connectivity__kind": kinds},
    ]








.. GENERATED FROM PYTHON SOURCE LINES 111-123

Rather than evaluating on the whole sample of 60 subjects,
we want to cross-validate our model.
We can directly pass the Pipeline object we defined above to
a cross-validation estimator.

Given the unbalanced sampling of age groups in
:func:`~nilearn.datasets.fetch_development_fmri`,
we will use stratified cross-validation to preserve the proportion of
each age group in the training and testing sets.
We will define 30 random,
stratified splits of the subjects into training and testing sets,
using :class:`sklearn.model_selection.StratifiedShuffleSplit`.

.. GENERATED FROM PYTHON SOURCE LINES 123-143

.. code-block:: Python


    from sklearn.model_selection import StratifiedShuffleSplit
    from sklearn.preprocessing import LabelEncoder

    groups = development_dataset.phenotypic["Child_Adult"].to_list()
    classes = LabelEncoder().fit_transform(groups)

    cv = StratifiedShuffleSplit(n_splits=30, random_state=0, test_size=10)
    gs = GridSearchCV(
        pipe,
        param_grid,
        scoring="accuracy",
        cv=cv,
        refit=False,
        n_jobs=2,
    )
    gs.fit(masked_data, classes)
    mean_scores = gs.cv_results_["mean_test_score"]
    scores_std = gs.cv_results_["std_test_score"]








.. GENERATED FROM PYTHON SOURCE LINES 144-145

Finally, we display the classification accuracy results:

.. GENERATED FROM PYTHON SOURCE LINES 145-158

.. code-block:: Python

    import matplotlib.pyplot as plt

    plt.figure(figsize=(6, 4), constrained_layout=True)

    positions = [0.1, 0.2, 0.3, 0.4]
    plt.barh(positions, mean_scores, align="center", height=0.05, xerr=scores_std)
    yticks = ["dummy", *list(gs.cv_results_["param_connectivity__kind"].data[1:])]
    yticks = [t.replace(" ", "\n") for t in yticks]
    plt.yticks(positions, yticks)
    plt.xlabel("Classification accuracy")
    plt.gca().grid(True)
    plt.gca().set_axisbelow(True)




.. image-sg:: /auto_examples/07_advanced/images/sphx_glr_plot_age_group_prediction_cross_val_001.png
   :alt: plot age group prediction cross val
   :srcset: /auto_examples/07_advanced/images/sphx_glr_plot_age_group_prediction_cross_val_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 159-165

This is a small example to showcase Nilearn features.
In practice, such comparisons need to be performed on
much larger cohorts and replicated across several datasets.
:footcite:t:`Dadi2019` showed
that across many cohorts and clinical questions,
tangent functional connectivity should be preferred.

.. GENERATED FROM PYTHON SOURCE LINES 165-168

.. code-block:: Python


    plt.show()








.. GENERATED FROM PYTHON SOURCE LINES 169-173

References
----------

.. footbibliography::


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (2 minutes 5.201 seconds)

**Estimated memory usage:**  11926 MB


.. _sphx_glr_download_auto_examples_07_advanced_plot_age_group_prediction_cross_val.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/nilearn/nilearn/0.14.1?urlpath=lab/tree/notebooks/auto_examples/07_advanced/plot_age_group_prediction_cross_val.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_age_group_prediction_cross_val.ipynb <plot_age_group_prediction_cross_val.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_age_group_prediction_cross_val.py <plot_age_group_prediction_cross_val.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_age_group_prediction_cross_val.zip <plot_age_group_prediction_cross_val.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_