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Data preparation for encoding/decoding models

For this example, we will use the data from Haxby et al., 2001., which are shared via OpenNeuro:

https://openneuro.org/datasets/ds000105/versions/3.0.0

The data are formatted according to the BIDS standard: https://bids-specification.readthedocs.io/en/stable/index.html

First, import required dependencies. You can install these using pip install -r requirements.txt from the main repo directory.

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%load_ext autoreload %autoreload 2 import os import nilearn from nilearn import datasets from nilearn.maskers import NiftiMasker from nilearn.maskers import MultiNiftiMapsMasker import h5py import numpy as np import nibabel as nib import datalad.api as dl import pandas as pd import tqdm from utils import ( get_subject_common_brain_mask, get_group_common_mask, get_subject_runs, get_layouts, ) from pathlib import Path from poldracklab.utils.run_shell_cmd import run_shell_cmd

Get the data using datalad

We will use a tool called Datalad to obtain the data from openneuro.

We will download the raw data, as well as the processed data (using fMRIPrep. Note that downloading these derivative data can take quite a while depending on the speed of one's connection.

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data_dir = '/Users/poldrack/data_unsynced/ds000105' assert os.path.exists(data_dir), 'Data directory not found: %s' % data_dir fmriprep_dir = os.path.join(data_dir, 'derivatives', 'fmriprep') output_dir = os.path.join(data_dir, 'derivatives', 'cleaned') if not os.path.exists(output_dir): os.makedirs(output_dir) # get the raw data ds = dl.clone( path=data_dir, source='https://github.com/OpenNeuroDatasets/ds000105.git', ) dl.get(dataset=data_dir, recursive=True) get_fmriprep = False # set to false after downloading fmriprep once # get the preprocessed derivatives - this takes some time! if get_fmriprep: dl.clone( path=fmriprep_dir, source='https://github.com/OpenNeuroDerivatives/ds000105-fmriprep.git', ) dl.get(dataset=fmriprep_dir, recursive=True)

[INFO] Ensuring presence of Dataset(/Users/poldrack/data_unsynced/ds000105) to get /Users/poldrack/data_unsynced/ds000105 

Query the dataset using PyBIDS

Because the dataset is organized using the BIDS standard, we can use the PyBIDS tool to query the dataset and obtain useful metadata.

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# load the dataset using pybids and get runs for each subject layout, deriv_layout = get_layouts(data_dir, fmriprep_dir)

create 3mm resolution version of the data

The data obtained from OpenNeuro were stored in MNI space at 2 mm resolution. It's useful to work in MNI space in order to be able to align subjects, but the original resolution (3.5 x 3.75 x 3.75 mm) is much lower, and using the higher resolution images needlessly slows down analyses. For this reason, we will resample the 2 mm data to 3 mm resolution, which is closer to the original resolution and will reduce processing times.

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boldfiles = deriv_layout.get( desc='preproc', space='MNI152NLin2009cAsym', suffix='bold', extension='nii.gz', res=2, return_type='file', ) print(f'found {len(boldfiles)} bold files') target_affine = np.diag((3, 3, 3)) for boldfile in tqdm.tqdm(boldfiles, desc='Processing items'): output = boldfile.replace('res-2', 'res-3') assert output != boldfile if not os.path.exists(output): img = nilearn.image.resample_img( boldfile, target_affine=target_affine, copy_header=True, force_resample=True, ) img.to_filename(output) # create boldref as well boldref = boldfile.replace('desc-preproc_bold.nii.gz', 'boldref.nii.gz') output_boldref = boldref.replace('res-2', 'res-3') assert output_boldref != boldref if not os.path.exists(output_boldref): img = nilearn.image.resample_img( boldref, target_affine=target_affine, copy_header=True, force_resample=True, ) img.to_filename(output_boldref) # create mask maskfile = boldfile.replace( 'desc-preproc_bold.nii.gz', 'desc-brain_mask.nii.gz' ) output_maskfile = maskfile.replace('res-2', 'res-3') assert output_maskfile != maskfile if not os.path.exists(maskfile): img = nilearn.image.resample_img( maskfile, target_affine=target_affine, interpolation='nearest', copy_header=True, force_resample=True, ) img.to_filename(output_maskfile)

found 71 bold files

Processing items: 100%|██████████| 71/71 [00:00<00:00, 35835.81it/s]

Confound regression

Use the outputs from fMRIPrep to generate a denoised version of the data.

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def run_confound_regression( layout, deriv_layout, data_dir, res=3, overwrite=False ): cleaned_images = {} print(f'Running confound regression for res={res}') subjects = [int(sub) for sub in layout.get_subjects()] for subject in subjects: cleaned_images[subject] = {} runs = get_subject_runs(subject, data_dir) print(f'Subject {subject} has {len(runs)} runs') mask_img = get_subject_common_brain_mask(subject, data_dir, res=res) t_r = None for run in runs: preproc_file = deriv_layout.get( subject=subject, run=run, res=res, desc='preproc', space='MNI152NLin2009cAsym', suffix='bold', extension='nii.gz', return_type='file', ) cleaned_img_file = preproc_file[0].replace('preproc', 'cleaned') if t_r is None: t_r = deriv_layout.get_metadata(preproc_file[0])[ 'RepetitionTime' ] else: assert ( t_r == deriv_layout.get_metadata(preproc_file[0])[ 'RepetitionTime' ] ) assert t_r is not None if os.path.exists(cleaned_img_file) and not overwrite: # print(f"Using existing cleaned file for subject {subject} run {run}") cleaned_img = nib.load(cleaned_img_file) cleaned_images[subject][run] = (cleaned_img_file, cleaned_img) continue preproc_img = nib.load(preproc_file[0]) assert ( len(preproc_file) == 1 ), f'Found {len(preproc_file)} preproc files for subject {subject} run {run}' confound_file = deriv_layout.get( subject=subject, run=run, desc='confounds', suffix='timeseries', extension='tsv', return_type='file', ) assert ( len(confound_file) == 1 ), f'Found {len(confound_file)} confound files for subject {subject} run {run}' confounds = pd.read_csv(confound_file[0], sep='\t').bfill() # need to include cosine with acompcor confound_prefixes = ['trans_', 'rot_', 'a_comp_cor_', 'cosine'] confound_cols = [ c for c in list(confounds.columns) if any([c.startswith(p) for p in confound_prefixes]) ] confounds_selected = confounds[confound_cols] cleaned_img = nilearn.image.clean_img( preproc_img, confounds=confounds_selected, t_r=t_r, mask_img=mask_img, ) assert cleaned_img_file != preproc_file[0] cleaned_img.to_filename(os.path.join(cleaned_img_file)) cleaned_images[subject][run] = (cleaned_img_file, cleaned_img) return cleaned_images, t_r # refresh the layouts to detect the new res-3 files layout, deriv_layout = get_layouts(data_dir, fmriprep_dir) cleaned_images, t_r = run_confound_regression( layout, deriv_layout, data_dir, overwrite=False, res=3 ) # run it for the 2 mm resolution data as well cleaned_images, t_r = run_confound_regression( layout, deriv_layout, data_dir, overwrite=False, res=2 )

Running confound regression for res=3
Subject 1 has 12 runs
Subject 2 has 12 runs
Subject 3 has 12 runs
Subject 4 has 12 runs
Subject 5 has 11 runs
Subject 6 has 12 runs
Running confound regression for res=2
Subject 1 has 12 runs
Subject 2 has 12 runs
Subject 3 has 12 runs
Subject 4 has 12 runs
Subject 5 has 11 runs
Subject 6 has 12 runs

select task block timepoints

Drop the first two TRs from each task block to account for hemodynamic delay, and generate task labels for each timepoint. First we extract the necessary metadata:

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# find the condition label for timepoints that are beyond the intial 4 seconds def get_cond_info( layout, deriv_layout, t_r, cleaned_images, blocklen=20, n_trials_to_skip=2 ): cond_info = {} subjects = [int(sub) for sub in layout.get_subjects()] for subject in subjects: runs = get_subject_runs(subject, data_dir) cond_info[subject] = {} for run in runs: events_file = layout.get( subject=subject, run=run, datatype='func', extension='tsv', return_type='file', )[0] events = pd.read_csv(events_file, sep='\t') n_timepoints = cleaned_images[subject][run][1].shape[-1] timepoints = np.arange(0, n_timepoints * t_r, t_r) # find task onsets in the events file # skip 2 trials i.e. 4 seconds blocklen = ( 20 # block length in seconds after removing first 4 seconds ) conditions = events.trial_type.unique().tolist() conditions.sort() onsets = {} for condition in conditions: match_df = events[events.trial_type == condition] onsets[condition] = match_df.onset.tolist()[n_trials_to_skip] cond_df = pd.DataFrame( {'timepoint': timepoints, 'condition': None} ) for idx in cond_df.index: for condition in conditions: if cond_df.loc[idx, 'timepoint'] >= onsets[ condition ] and cond_df.loc[idx, 'timepoint'] < ( onsets[condition] + blocklen ): cond_df.loc[idx, 'condition'] = condition for cond in cond_df.condition.unique(): if cond is None: continue assert len(cond_df[cond_df.condition == cond]) == 8 cond_info[subject][run] = cond_df return cond_info cond_info = get_cond_info(layout, deriv_layout, t_r, cleaned_images)

Then we extract the task images.

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def get_task_images(cond_info, cleaned_images): task_images = {} task_info = {} for subject, runs in cond_info.items(): task_images[subject] = {} task_info[subject] = {} for run, cond_df in runs.items(): good_trials = cond_df.dropna() assert ( len(good_trials) == 64 ), f'Found {len(good_trials)} good trials for subject {subject} run {run}' task_img_file = cleaned_images[subject][run][0].replace( 'cleaned', 'task' ) assert task_img_file != cleaned_images[subject][run][0] good_trials.to_csv( task_img_file.replace('_bold.nii.gz', '_events.tsv'), sep='\t', index=False, ) task_info[subject][run] = good_trials if not os.path.exists(task_img_file): cleaned_img = cleaned_images[subject][run][1] task_data = cleaned_img.get_fdata()[ :, :, :, list(good_trials.index) ] task_img = nib.Nifti1Image(task_data, cleaned_img.affine) task_img.to_filename(task_img_file) else: task_img = nib.load(task_img_file) task_images[subject][run] = task_img return task_images, task_info task_images, task_info = get_task_images(cond_info, cleaned_images)

Create aligned temporal cortex masks

We would like to reuse the masks shared by Haxby et al. for the visual cortex (which are included in the nilearn distribution). This requires installation of the ANTs software and FSL.

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# First, we fetch single subject specific data with haxby datasets: to have # anatomical image, EPI images and masks images haxby_dataset = datasets.fetch_haxby(subjects=list(range(1, 7))) haxby_datadir = Path(os.path.dirname(haxby_dataset.mask)) maskderivdir = Path(data_dir) / "derivatives/vtmasks" if not maskderivdir.exists(): maskderivdir.mkdir() maskfiles = list(haxby_datadir.glob('sub*/mask4_vt.nii.gz')) assert len(maskfiles) == 6 res = 3 # resampling resolution in mm for maskfile in maskfiles: subject = int(maskfile.parts[-2].replace('subj','')) print(subject) maskimg = nib.load(str(maskfile)) boldfiles = layout.get(suffix='bold', extension='nii.gz', run=1, subject=subject, return_type='file') assert len(boldfiles) == 1 boldimg = nib.load(boldfiles[0]) maskimg_resampled = nib.Nifti1Image(maskimg.get_fdata(), boldimg.affine, boldimg.header) maskfile_resampled = maskderivdir / f'sub-{subject}_desc-mask4vt_resampled.nii.gz' maskimg_resampled.to_filename(str(maskfile_resampled)) # call antsApplyTransform through the shell script run_shell_cmd(f'bash align_mask.sh {subject} {res}') # load the aligned mask and check it mask_aligned = nib.load(str(maskderivdir / f'sub-{subject}_mask4vt_space-MNI152NLin2009cAsym_res-{res}.nii.gz')) mask_aligned_data = mask_aligned.get_fdata() print('max in realigned mask:', mask_aligned_data.max())

[get_dataset_dir] Dataset found in /Users/poldrack/nilearn_data/haxby2001
1
([], [])
max in realigned mask: 1.0
6
([], [])
max in realigned mask: 1.0
5
([], [])
max in realigned mask: 1.0
2
([], [])
max in realigned mask: 1.0
3
([], [])
max in realigned mask: 1.0
4
([], [])
max in realigned mask: 1.0

save to HDF5 file

We will save all of the data to a single HDF5 file to make it easier to use them later.

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# This will stop the notebook from automatically running the rest of the cells # which takes well over an hour overwrite = False assert overwrite, 'Set overwrite to True to run this cell'

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
Cell In[10], line 4
      1 # This will stop the notebook from automatically running the rest of the cells
      2 # which takes well over an hour
      3 overwrite = False
----> 4 assert overwrite, 'Set overwrite to True to run this cell'

AssertionError: Set overwrite to True to run this cell

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subjects = [int(sub) for sub in layout.get_subjects()] difumo = datasets.fetch_atlas_difumo( dimension=1024, resolution_mm=3, legacy_format=False ) difumo_masker = MultiNiftiMapsMasker( maps_img=difumo.maps, n_jobs=12, ) vtmaskdir = os.path.join(data_dir, 'derivatives', 'vtmasks') with h5py.File(os.path.join(output_dir, 'haxby_data_cleaned.h5'), 'w') as hf: for subject in subjects: print(f'Processing subject {subject}') g1 = hf.create_group(f'sub-{subject}') runs = get_subject_runs(subject, data_dir) sub_mask = get_subject_common_brain_mask(subject, data_dir) masker = NiftiMasker(mask_img=sub_mask) vt_mask = nib.load( os.path.join( vtmaskdir, f'sub-{subject}_mask4vt_space-MNI152NLin2009cAsym_res-3.nii.gz', ) ) vtmasker = NiftiMasker(mask_img=vt_mask) for run in runs: g2 = g1.create_group(f'run-{run}') vt_data = vtmasker.fit_transform(task_images[subject][run]) assert vt_data.shape[0] == task_images[subject][run].shape[-1] assert vt_data.shape[1] == np.sum(vt_mask.get_fdata()) g2.create_dataset('vtmaskdata', data=vt_data) # get the whole brain data braindata = masker.fit_transform(task_images[subject][run]) assert braindata.shape[0] == task_images[subject][run].shape[-1] assert braindata.shape[1] == np.sum(sub_mask.get_fdata()) g2.create_dataset('braindata', data=braindata) g2.create_dataset( 'conditions', data=[ c.encode('utf-8') for c in task_info[subject][run].condition.tolist() ], ) # get the difumo data difumo_data = difumo_masker.fit_transform( task_images[subject][run] ) assert difumo_data.shape[0] == task_images[subject][run].shape[-1] g2.create_dataset('difumodata', data=difumo_data)

[get_dataset_dir] Dataset found in /Users/poldrack/nilearn_data/difumo_atlases
Processing subject 1

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images
Processing subject 2

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images
Processing subject 3

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images
Processing subject 4

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images
Processing subject 5

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images
Processing subject 6

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/maskers/nifti_masker.py:113: UserWarning: imgs are being resampled to the mask_img resolution. This process is memory intensive. You might want to provide a target_affine that is equal to the affine of the imgs or resample the mask beforehand to save memory and computation time.
  warnings.warn(
/Users/poldrack/micromamba/envs/aineuro/lib/python3.12/site-packages/nilearn/image/resampling.py:468: FutureWarning: 'force_resample' will be set to 'True' by default in Nilearn 0.13.0. 
Use 'force_resample=True' to suppress this warning.
  force_resample = _check_force_resample(force_resample)

[NiftiMasker.wrapped] Resampling images

Average within blocks

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52

with h5py.File(os.path.join(output_dir, 'haxby_data_cleaned.h5'), 'a') as hf: subjects = [int(sub) for sub in layout.get_subjects()] for subject in subjects: runs = get_subject_runs(subject, data_dir) for run in runs: conditions = [ i.decode('utf-8') for i in hf[f'sub-{subject}/run-{run}']['conditions'][:] ] vt_df = pd.DataFrame( hf[f'sub-{subject}/run-{run}']['vtmaskdata'][:] ) condition_mean_df = vt_df.groupby(conditions).mean().sort_index() conditions_collapsed = condition_mean_df.index.values hf[f'sub-{subject}/run-{run}'].create_dataset( 'mean_vtmaskdata', data=condition_mean_df ) hf[f'sub-{subject}/run-{run}'].create_dataset( 'mean_conditions', data=condition_mean_df.index.values ) # same for whole brain brain_df = pd.DataFrame( hf[f'sub-{subject}/run-{run}']['braindata'][:] ) condition_mean_df = ( brain_df.groupby(conditions).mean().sort_index() ) # make sure conditions are the same between the two assert np.all( condition_mean_df.index.values == conditions_collapsed ) hf[f'sub-{subject}/run-{run}'].create_dataset( 'mean_braindata', data=condition_mean_df ) # same for difumo difumo_df = pd.DataFrame( hf[f'sub-{subject}/run-{run}']['difumodata'][:] ) condition_mean_df = ( difumo_df.groupby(conditions).mean().sort_index() ) # make sure conditions are the same between the two assert np.all( condition_mean_df.index.values == conditions_collapsed ) hf[f'sub-{subject}/run-{run}'].create_dataset( 'mean_difumodata', data=condition_mean_df )

1 2 3 4 5 6 7 8 9

with h5py.File(os.path.join(output_dir, 'haxby_data_cleaned.h5'), 'r') as hf: # utils.list_all_datasets(hf) print(hf[f'sub-{subject}/run-{run}']['braindata'].shape) print(hf[f'sub-{subject}/run-{run}']['vtmaskdata'].shape) print(hf[f'sub-{subject}/run-{run}']['difumodata'].shape) print(hf[f'sub-{subject}/run-{run}']['conditions'].shape) print(hf[f'sub-{subject}/run-{run}']['mean_conditions'].shape)

(64, 71991)
(64, 746)
(64, 1024)
(64,)
(8,)