Note
Go to the end to download the full example code.
8.7. Run junifer and julearn.¶
This example uses a ParcelAggregation marker to compute the mean of each parcel using the Schaefer parcellation (100 rois, 7 Yeo networks) for a 3D nifti to extract some features for machine learning using julearn to predict some other data.
Authors: Leonard Sasse, Sami Hamdan, Nicolas Nieto, Synchon Mandal
License: BSD 3 clause
import tempfile
import nilearn
import pandas as pd
from julearn import run_cross_validation, PipelineCreator
import junifer.testing.registry # noqa: F401
from junifer.api import collect, run
from junifer.storage import SQLiteFeatureStorage
from junifer.utils import configure_logging
Set the logging level to info to see extra information:
configure_logging(level="INFO")
2025-11-18 17:37:31 [info ] ===== Lib Versions ===== [junifer]
2025-11-18 17:37:31 [info ] click: 8.1.8 [junifer]
2025-11-18 17:37:31 [info ] numpy: 1.26.4 [junifer]
2025-11-18 17:37:31 [info ] scipy: 1.15.0 [junifer]
2025-11-18 17:37:31 [info ] datalad: 1.1.6 [junifer]
2025-11-18 17:37:31 [info ] pandas: 2.1.4 [junifer]
2025-11-18 17:37:31 [info ] nibabel: 5.3.2 [junifer]
2025-11-18 17:37:31 [info ] nilearn: 0.10.4 [junifer]
2025-11-18 17:37:31 [info ] sqlalchemy: 2.0.44 [junifer]
2025-11-18 17:37:31 [info ] ruamel.yaml: 0.18.16 [junifer]
2025-11-18 17:37:31 [info ] tqdm: 4.66.6 [junifer]
2025-11-18 17:37:31 [info ] templateflow: 24.2.2 [junifer]
2025-11-18 17:37:31 [info ] junifer_data: None [junifer]
2025-11-18 17:37:31 [info ] junifer: 0.0.7.dev401 [junifer]
2025-11-18 17:37:31 [info ] ======================== [junifer]
Define the markers you want:
marker_dicts = [
{
"name": "Schaefer100x17_TrimMean80",
"kind": "ParcelAggregation",
"parcellation": ["Schaefer100x17"],
"method": "trim_mean",
"method_params": {"proportiontocut": 0.2},
},
{
"name": "Schaefer200x17_Mean",
"kind": "ParcelAggregation",
"parcellation": ["Schaefer200x17"],
"method": "mean",
},
]
Define target and confounds for julearn machine learning:
Load the VBM phenotype data for machine learning data: - Fetch the Oasis dataset
oasis_dataset = nilearn.datasets.fetch_oasis_vbm()
age = oasis_dataset.ext_vars[y][:10]
sex = (
pd.Series(oasis_dataset.ext_vars["mf"][:10])
.map(lambda x: 1 if x == "F" else 0)
.values
)
Create a temporary directory for junifer feature extraction:
with tempfile.TemporaryDirectory() as tmpdir:
storage = {"kind": "SQLiteFeatureStorage", "uri": f"{tmpdir}/test.sqlite"}
# run the defined junifer feature extraction pipeline
run(
workdir="/tmp",
datagrabber={"kind": "OasisVBMTestingDataGrabber"},
markers=marker_dicts,
storage=storage,
)
# read in extracted features and add confounds and targets
# for julearn run cross validation
collect(storage)
db = SQLiteFeatureStorage(uri=storage["uri"])
df_vbm = db.read_df(feature_name="VBM_GM_Schaefer200x17_Mean_aggregation")
oasis_subjects = [x[0] for x in df_vbm.index]
df_vbm.index = oasis_subjects
2025-11-18 17:37:31 [info ] Validating Marker Collection [junifer]
2025-11-18 17:37:31 [info ] DataGrabber output type: ['VBM_GM'] [junifer]
2025-11-18 17:37:31 [info ] Validating Data Reader: [junifer]
2025-11-18 17:37:31 [info ] Data Reader output type: ['VBM_GM'] [junifer]
2025-11-18 17:37:31 [info ] Validating Marker: Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:37:31 [info ] Marker output type: [<StorageType.Vector: 'vector'>] [junifer]
2025-11-18 17:37:31 [info ] Validating storage for Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:37:31 [info ] Validating Marker: Schaefer200x17_Mean [junifer]
2025-11-18 17:37:31 [info ] Marker output type: [<StorageType.Vector: 'vector'>] [junifer]
2025-11-18 17:37:31 [info ] Validating storage for Schaefer200x17_Mean [junifer]
2025-11-18 17:37:31 [info ] Getting element ('sub-01',) [junifer]
2025-11-18 17:37:31 [info ] Fitting pipeline [junifer]
2025-11-18 17:37:31 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0001_MR1/mwrc1OAS1_0001_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:37:31 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:37:31 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:37:31 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:37:31 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:37:31 [info ] Parcellation parameters: [junifer]
2025-11-18 17:37:31 [info ] resolution: None [junifer]
2025-11-18 17:37:31 [info ] n_rois: 100 [junifer]
2025-11-18 17:37:31 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:37:31 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:37:31 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:37:34 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:37:34 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_42f50e94-c4a5-11f0-a26b-be2f509f929di_whyza1/prewarp_parcellation.nii.gz -r /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_42f50e94-c4a5-11f0-a26b-be2f509f929di_whyza1/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_42f50e94-c4a5-11f0-a26b-be2f509f929di_whyza1/parcellation_warped.nii.gz [junifer]
2025-11-18 17:37:40 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:37:42 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:37:42 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:37:42 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:37:42 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:37:42 [info ] Parcellation parameters: [junifer]
2025-11-18 17:37:42 [info ] resolution: None [junifer]
2025-11-18 17:37:42 [info ] n_rois: 200 [junifer]
2025-11-18 17:37:42 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:37:42 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:37:42 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:37:44 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:37:45 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_4954ce3c-c4a5-11f0-a26b-be2f509f929dn1uthepf/prewarp_parcellation.nii.gz -r /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_4954ce3c-c4a5-11f0-a26b-be2f509f929dn1uthepf/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpuuq7ljtr/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_4954ce3c-c4a5-11f0-a26b-be2f509f929dn1uthepf/parcellation_warped.nii.gz [junifer]
2025-11-18 17:37:56 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:37:58 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:37:58 [info ] Marker collection fitting done [junifer]
2025-11-18 17:37:58 [info ] Getting element ('sub-02',) [junifer]
2025-11-18 17:37:58 [info ] Fitting pipeline [junifer]
2025-11-18 17:37:58 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0002_MR1/mwrc1OAS1_0002_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:37:58 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:37:58 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:37:58 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:37:58 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:37:58 [info ] Parcellation parameters: [junifer]
2025-11-18 17:37:58 [info ] resolution: None [junifer]
2025-11-18 17:37:58 [info ] n_rois: 100 [junifer]
2025-11-18 17:37:58 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:37:58 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:37:58 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:38:00 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:38:01 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_52c044ce-c4a5-11f0-a26b-be2f509f929d0z6c3ngb/prewarp_parcellation.nii.gz -r /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_52c044ce-c4a5-11f0-a26b-be2f509f929d0z6c3ngb/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_52c044ce-c4a5-11f0-a26b-be2f509f929d0z6c3ngb/parcellation_warped.nii.gz [junifer]
2025-11-18 17:38:07 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:38:08 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:38:08 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:38:08 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:38:08 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:38:08 [info ] Parcellation parameters: [junifer]
2025-11-18 17:38:08 [info ] resolution: None [junifer]
2025-11-18 17:38:08 [info ] n_rois: 200 [junifer]
2025-11-18 17:38:08 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:38:08 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:38:08 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:38:11 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:38:11 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_59177edc-c4a5-11f0-a26b-be2f509f929d40n3cu1r/prewarp_parcellation.nii.gz -r /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_59177edc-c4a5-11f0-a26b-be2f509f929d40n3cu1r/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpzliivwdc/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_59177edc-c4a5-11f0-a26b-be2f509f929d40n3cu1r/parcellation_warped.nii.gz [junifer]
2025-11-18 17:38:23 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:38:24 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:38:24 [info ] Marker collection fitting done [junifer]
2025-11-18 17:38:24 [info ] Getting element ('sub-03',) [junifer]
2025-11-18 17:38:24 [info ] Fitting pipeline [junifer]
2025-11-18 17:38:24 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0003_MR1/mwrc1OAS1_0003_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:38:24 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:38:24 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:38:24 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:38:24 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:38:24 [info ] Parcellation parameters: [junifer]
2025-11-18 17:38:24 [info ] resolution: None [junifer]
2025-11-18 17:38:24 [info ] n_rois: 100 [junifer]
2025-11-18 17:38:24 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:38:24 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:38:24 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:38:26 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:38:27 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_6272687a-c4a5-11f0-a26b-be2f509f929dlsf8ol0g/prewarp_parcellation.nii.gz -r /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_6272687a-c4a5-11f0-a26b-be2f509f929dlsf8ol0g/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_6272687a-c4a5-11f0-a26b-be2f509f929dlsf8ol0g/parcellation_warped.nii.gz [junifer]
2025-11-18 17:38:33 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:38:35 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:38:35 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:38:35 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:38:35 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:38:35 [info ] Parcellation parameters: [junifer]
2025-11-18 17:38:35 [info ] resolution: None [junifer]
2025-11-18 17:38:35 [info ] n_rois: 200 [junifer]
2025-11-18 17:38:35 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:38:35 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:38:35 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:38:37 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:38:38 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_68cba6e6-c4a5-11f0-a26b-be2f509f929dax0z70y3/prewarp_parcellation.nii.gz -r /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_68cba6e6-c4a5-11f0-a26b-be2f509f929dax0z70y3/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmplgx4omw5/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_68cba6e6-c4a5-11f0-a26b-be2f509f929dax0z70y3/parcellation_warped.nii.gz [junifer]
2025-11-18 17:38:49 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:38:50 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:38:51 [info ] Marker collection fitting done [junifer]
2025-11-18 17:38:51 [info ] Getting element ('sub-04',) [junifer]
2025-11-18 17:38:51 [info ] Fitting pipeline [junifer]
2025-11-18 17:38:51 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0004_MR1/mwrc1OAS1_0004_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:38:51 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:38:51 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:38:51 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:38:51 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:38:51 [info ] Parcellation parameters: [junifer]
2025-11-18 17:38:51 [info ] resolution: None [junifer]
2025-11-18 17:38:51 [info ] n_rois: 100 [junifer]
2025-11-18 17:38:51 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:38:51 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:38:51 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:38:53 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:38:53 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_72376864-c4a5-11f0-a26b-be2f509f929d7uy6bwps/prewarp_parcellation.nii.gz -r /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_72376864-c4a5-11f0-a26b-be2f509f929d7uy6bwps/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_72376864-c4a5-11f0-a26b-be2f509f929d7uy6bwps/parcellation_warped.nii.gz [junifer]
2025-11-18 17:39:00 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:39:01 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:39:01 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:39:01 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:39:01 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:39:01 [info ] Parcellation parameters: [junifer]
2025-11-18 17:39:01 [info ] resolution: None [junifer]
2025-11-18 17:39:01 [info ] n_rois: 200 [junifer]
2025-11-18 17:39:01 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:39:01 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:39:01 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:39:04 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:39:04 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_78a2ea7a-c4a5-11f0-a26b-be2f509f929dh3wcmw7d/prewarp_parcellation.nii.gz -r /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_78a2ea7a-c4a5-11f0-a26b-be2f509f929dh3wcmw7d/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp8zndri7v/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_78a2ea7a-c4a5-11f0-a26b-be2f509f929dh3wcmw7d/parcellation_warped.nii.gz [junifer]
2025-11-18 17:39:16 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:39:17 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:39:17 [info ] Marker collection fitting done [junifer]
2025-11-18 17:39:17 [info ] Getting element ('sub-05',) [junifer]
2025-11-18 17:39:17 [info ] Fitting pipeline [junifer]
2025-11-18 17:39:17 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0005_MR1/mwrc1OAS1_0005_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:39:17 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:39:17 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:39:17 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:39:17 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:39:17 [info ] Parcellation parameters: [junifer]
2025-11-18 17:39:17 [info ] resolution: None [junifer]
2025-11-18 17:39:17 [info ] n_rois: 100 [junifer]
2025-11-18 17:39:17 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:39:17 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:39:17 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:39:19 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:39:20 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_820d9704-c4a5-11f0-a26b-be2f509f929db8wj7xek/prewarp_parcellation.nii.gz -r /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_820d9704-c4a5-11f0-a26b-be2f509f929db8wj7xek/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_820d9704-c4a5-11f0-a26b-be2f509f929db8wj7xek/parcellation_warped.nii.gz [junifer]
2025-11-18 17:39:26 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:39:28 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:39:28 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:39:28 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:39:28 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:39:28 [info ] Parcellation parameters: [junifer]
2025-11-18 17:39:28 [info ] resolution: None [junifer]
2025-11-18 17:39:28 [info ] n_rois: 200 [junifer]
2025-11-18 17:39:28 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:39:28 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:39:28 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:39:30 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:39:31 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_88697a32-c4a5-11f0-a26b-be2f509f929dkeb1mdoj/prewarp_parcellation.nii.gz -r /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_88697a32-c4a5-11f0-a26b-be2f509f929dkeb1mdoj/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpvkpbr846/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_88697a32-c4a5-11f0-a26b-be2f509f929dkeb1mdoj/parcellation_warped.nii.gz [junifer]
2025-11-18 17:39:42 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:39:44 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:39:44 [info ] Marker collection fitting done [junifer]
2025-11-18 17:39:44 [info ] Getting element ('sub-06',) [junifer]
2025-11-18 17:39:44 [info ] Fitting pipeline [junifer]
2025-11-18 17:39:44 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0006_MR1/mwrc1OAS1_0006_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:39:44 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:39:44 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:39:44 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:39:44 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:39:44 [info ] Parcellation parameters: [junifer]
2025-11-18 17:39:44 [info ] resolution: None [junifer]
2025-11-18 17:39:44 [info ] n_rois: 100 [junifer]
2025-11-18 17:39:44 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:39:44 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:39:44 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:39:46 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:39:47 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_91e19892-c4a5-11f0-a26b-be2f509f929df52k0ajk/prewarp_parcellation.nii.gz -r /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_91e19892-c4a5-11f0-a26b-be2f509f929df52k0ajk/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_91e19892-c4a5-11f0-a26b-be2f509f929df52k0ajk/parcellation_warped.nii.gz [junifer]
2025-11-18 17:39:53 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:39:54 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:39:54 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:39:54 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:39:54 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:39:54 [info ] Parcellation parameters: [junifer]
2025-11-18 17:39:54 [info ] resolution: None [junifer]
2025-11-18 17:39:54 [info ] n_rois: 200 [junifer]
2025-11-18 17:39:54 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:39:54 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:39:54 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:39:57 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:39:57 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_984ae288-c4a5-11f0-a26b-be2f509f929dqua65llu/prewarp_parcellation.nii.gz -r /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_984ae288-c4a5-11f0-a26b-be2f509f929dqua65llu/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpjkxp985g/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_984ae288-c4a5-11f0-a26b-be2f509f929dqua65llu/parcellation_warped.nii.gz [junifer]
2025-11-18 17:40:09 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:40:10 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:40:10 [info ] Marker collection fitting done [junifer]
2025-11-18 17:40:10 [info ] Getting element ('sub-07',) [junifer]
2025-11-18 17:40:10 [info ] Fitting pipeline [junifer]
2025-11-18 17:40:10 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0007_MR1/mwrc1OAS1_0007_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:40:10 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:40:10 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:40:10 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:40:10 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:40:10 [info ] Parcellation parameters: [junifer]
2025-11-18 17:40:10 [info ] resolution: None [junifer]
2025-11-18 17:40:10 [info ] n_rois: 100 [junifer]
2025-11-18 17:40:10 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:40:10 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:40:10 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:40:13 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:40:13 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_a1b4852c-c4a5-11f0-a26b-be2f509f929d7udcidei/prewarp_parcellation.nii.gz -r /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_a1b4852c-c4a5-11f0-a26b-be2f509f929d7udcidei/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_a1b4852c-c4a5-11f0-a26b-be2f509f929d7udcidei/parcellation_warped.nii.gz [junifer]
2025-11-18 17:40:19 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:40:21 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:40:21 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:40:21 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:40:21 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:40:21 [info ] Parcellation parameters: [junifer]
2025-11-18 17:40:21 [info ] resolution: None [junifer]
2025-11-18 17:40:21 [info ] n_rois: 200 [junifer]
2025-11-18 17:40:21 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:40:21 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:40:21 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:40:23 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:40:24 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_a80c4a5e-c4a5-11f0-a26b-be2f509f929dh0djw3yl/prewarp_parcellation.nii.gz -r /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_a80c4a5e-c4a5-11f0-a26b-be2f509f929dh0djw3yl/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmpdr71_ob8/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_a80c4a5e-c4a5-11f0-a26b-be2f509f929dh0djw3yl/parcellation_warped.nii.gz [junifer]
2025-11-18 17:40:35 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:40:37 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:40:37 [info ] Marker collection fitting done [junifer]
2025-11-18 17:40:37 [info ] Getting element ('sub-08',) [junifer]
2025-11-18 17:40:37 [info ] Fitting pipeline [junifer]
2025-11-18 17:40:37 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0009_MR1/mwrc1OAS1_0009_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:40:37 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:40:37 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:40:37 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:40:37 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:40:37 [info ] Parcellation parameters: [junifer]
2025-11-18 17:40:37 [info ] resolution: None [junifer]
2025-11-18 17:40:37 [info ] n_rois: 100 [junifer]
2025-11-18 17:40:37 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:40:37 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:40:37 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:40:39 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:40:39 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_b16fa19a-c4a5-11f0-a26b-be2f509f929dwigi20k8/prewarp_parcellation.nii.gz -r /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_b16fa19a-c4a5-11f0-a26b-be2f509f929dwigi20k8/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_b16fa19a-c4a5-11f0-a26b-be2f509f929dwigi20k8/parcellation_warped.nii.gz [junifer]
2025-11-18 17:40:46 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:40:47 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:40:47 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:40:47 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:40:47 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:40:47 [info ] Parcellation parameters: [junifer]
2025-11-18 17:40:47 [info ] resolution: None [junifer]
2025-11-18 17:40:47 [info ] n_rois: 200 [junifer]
2025-11-18 17:40:47 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:40:47 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:40:47 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:40:50 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:40:50 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_b7c87918-c4a5-11f0-a26b-be2f509f929d9prsvaob/prewarp_parcellation.nii.gz -r /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_b7c87918-c4a5-11f0-a26b-be2f509f929d9prsvaob/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp4n480aln/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_b7c87918-c4a5-11f0-a26b-be2f509f929d9prsvaob/parcellation_warped.nii.gz [junifer]
2025-11-18 17:41:01 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:41:03 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:41:03 [info ] Marker collection fitting done [junifer]
2025-11-18 17:41:03 [info ] Getting element ('sub-09',) [junifer]
2025-11-18 17:41:03 [info ] Fitting pipeline [junifer]
2025-11-18 17:41:03 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0010_MR1/mwrc1OAS1_0010_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:41:03 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:41:03 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:41:03 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:41:03 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:41:03 [info ] Parcellation parameters: [junifer]
2025-11-18 17:41:03 [info ] resolution: None [junifer]
2025-11-18 17:41:03 [info ] n_rois: 100 [junifer]
2025-11-18 17:41:03 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:41:03 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:41:03 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:41:05 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:41:06 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_c132686a-c4a5-11f0-a26b-be2f509f929d7zp0seeo/prewarp_parcellation.nii.gz -r /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_c132686a-c4a5-11f0-a26b-be2f509f929d7zp0seeo/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_c132686a-c4a5-11f0-a26b-be2f509f929d7zp0seeo/parcellation_warped.nii.gz [junifer]
2025-11-18 17:41:12 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:41:14 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:41:14 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:41:14 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:41:14 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:41:14 [info ] Parcellation parameters: [junifer]
2025-11-18 17:41:14 [info ] resolution: None [junifer]
2025-11-18 17:41:14 [info ] n_rois: 200 [junifer]
2025-11-18 17:41:14 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:41:14 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:41:14 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:41:16 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:41:17 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_c792dc80-c4a5-11f0-a26b-be2f509f929dnhg70utf/prewarp_parcellation.nii.gz -r /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_c792dc80-c4a5-11f0-a26b-be2f509f929dnhg70utf/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmppjz0kdrh/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_c792dc80-c4a5-11f0-a26b-be2f509f929dnhg70utf/parcellation_warped.nii.gz [junifer]
2025-11-18 17:41:28 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:41:29 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:41:29 [info ] Marker collection fitting done [junifer]
2025-11-18 17:41:29 [info ] Getting element ('sub-10',) [junifer]
2025-11-18 17:41:29 [info ] Fitting pipeline [junifer]
2025-11-18 17:41:29 [info ] Reading VBM_GM from /github/home/nilearn_data/oasis1/OAS1_0011_MR1/mwrc1OAS1_0011_MR1_mpr_anon_fslswapdim_bet.nii.gz [junifer]
2025-11-18 17:41:29 [info ] VBM_GM is of type NIFTI [junifer]
2025-11-18 17:41:29 [info ] Fitting marker Schaefer100x17_TrimMean80 [junifer]
2025-11-18 17:41:29 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:41:29 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:41:29 [info ] Parcellation parameters: [junifer]
2025-11-18 17:41:29 [info ] resolution: None [junifer]
2025-11-18 17:41:29 [info ] n_rois: 100 [junifer]
2025-11-18 17:41:29 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:41:29 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:41:30 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_100Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:41:32 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:41:32 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_d0f224a2-c4a5-11f0-a26b-be2f509f929df3bjyuv0/prewarp_parcellation.nii.gz -r /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_d0f224a2-c4a5-11f0-a26b-be2f509f929df3bjyuv0/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer100x17_from_MNI152NLin6Asym_to_MNI152Lin_d0f224a2-c4a5-11f0-a26b-be2f509f929df3bjyuv0/parcellation_warped.nii.gz [junifer]
2025-11-18 17:41:39 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:41:40 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:41:40 [info ] Fitting marker Schaefer200x17_Mean [junifer]
2025-11-18 17:41:40 [info ] Computing DataType.VBM_GM [junifer]
2025-11-18 17:41:40 [info ] Parcellation will be warped from MNI152NLin6Asym to MNI152Lin using highest resolution [junifer]
2025-11-18 17:41:40 [info ] Parcellation parameters: [junifer]
2025-11-18 17:41:40 [info ] resolution: None [junifer]
2025-11-18 17:41:40 [info ] n_rois: 200 [junifer]
2025-11-18 17:41:40 [info ] yeo_networks: 17 [junifer]
2025-11-18 17:41:40 [info ] Resolution set to None, using highest resolution. [junifer]
2025-11-18 17:41:40 [info ] Loading parcellation: /github/home/junifer_data/v5/parcellations/Schaefer2018/Yeo2011/Schaefer2018_200Parcels_17Networks_order_FSLMNI152_1mm.nii.gz [junifer]
2025-11-18 17:41:43 [info ] Downloading template MNI152Lin (T1w in resolution 1) [junifer]
2025-11-18 17:41:43 [info ] antsApplyTransforms command to be executed:
antsApplyTransforms -d 3 -e 3 -n 'GenericLabel[NearestNeighbor]' -i /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_d7527e8c-c4a5-11f0-a26b-be2f509f929dkd2vhy4l/prewarp_parcellation.nii.gz -r /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_d7527e8c-c4a5-11f0-a26b-be2f509f929dkd2vhy4l/MNI152Lin_T1w.nii.gz -t /github/home/junifer_data/v5/.git/annex/objects/JQ/Pp/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5/SHA256E-s145422752--5091350b36f951d455dabd429ebe86c493c75a0217dca311ae355f1d62e080b0.h5 -o /tmp/tmp0pjdjtm3/ants_parcellation_warper_Schaefer200x17_from_MNI152NLin6Asym_to_MNI152Lin_d7527e8c-c4a5-11f0-a26b-be2f509f929dkd2vhy4l/parcellation_warped.nii.gz [junifer]
2025-11-18 17:41:54 [info ] antsApplyTransforms command succeeded with the following output:
[junifer]
2025-11-18 17:41:56 [info ] Storing in <SQLiteFeatureStorage @ /tmp/tmpsncmanc8/test.sqlite (multiple output)> [junifer]
2025-11-18 17:41:56 [info ] Marker collection fitting done [junifer]
2025-11-18 17:41:56 [info ] Collecting data using SQLiteFeatureStorage [junifer]
2025-11-18 17:41:56 [info ] Collecting data from /tmp/tmpsncmanc8/*test.sqlite [junifer]
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2025-11-18 17:41:57 [info ] Collect done [junifer]
Using julearn for machine learning: We predict the age given our vbm features and sex as a confound.
X = list(df_vbm.columns)
df_vbm[y] = age
df_vbm[confound] = sex
X_types = {
"features": X,
"confound": confound,
}
creator = PipelineCreator(problem_type="regression", apply_to="features")
creator.add("zscore", apply_to=["features", "confound"])
creator.add("confound_removal", apply_to="features", confounds="confound")
creator.add("ridge")
scores = run_cross_validation(
X=X + [confound],
y=y,
X_types=X_types,
data=df_vbm,
model=creator,
cv=3,
)
print(scores)
2025-11-18 17:41:57 [info ] Adding step zscore that applies to ColumnTypes<types={'features', 'confound'}; pattern=(?:__:type:__features|__:type:__confound)> [julearn]
2025-11-18 17:41:57 [info ] Step added [julearn]
2025-11-18 17:41:57 [info ] Adding step confound_removal that applies to ColumnTypes<types={'features'}; pattern=(?:__:type:__features)> [julearn]
2025-11-18 17:41:57 [info ] Setting hyperparameter confounds = confound [julearn]
2025-11-18 17:41:57 [info ] Step added [julearn]
2025-11-18 17:41:57 [info ] Adding step ridge that applies to ColumnTypes<types={'features'}; pattern=(?:__:type:__features)> [julearn]
2025-11-18 17:41:57 [info ] Step added [julearn]
2025-11-18 17:41:57 [info ] ==== Input Data ==== [julearn]
2025-11-18 17:41:57 [info ] Using dataframe as input [julearn]
2025-11-18 17:41:57 [info ] Features: ['LH_VisCent_ExStr_1', 'LH_VisCent_ExStr_2', 'LH_VisCent_Striate_1', 'LH_VisCent_ExStr_3', 'LH_VisCent_ExStr_4', 'LH_VisCent_ExStr_5', 'LH_VisPeri_ExStrInf_1', 'LH_VisPeri_ExStrInf_2', 'LH_VisPeri_ExStrInf_3', 'LH_VisPeri_StriCal_1', 'LH_VisPeri_ExStrSup_1', 'LH_VisPeri_ExStrSup_2', 'LH_SomMotA_1', 'LH_SomMotA_2', 'LH_SomMotA_3', 'LH_SomMotA_4', 'LH_SomMotA_5', 'LH_SomMotA_6', 'LH_SomMotA_7', 'LH_SomMotA_8', 'LH_SomMotB_Aud_1', 'LH_SomMotB_Aud_2', 'LH_SomMotB_S2_1', 'LH_SomMotB_S2_2', 'LH_SomMotB_Aud_3', 'LH_SomMotB_S2_3', 'LH_SomMotB_Cent_1', 'LH_SomMotB_Cent_2', 'LH_DorsAttnA_TempOcc_1', 'LH_DorsAttnA_TempOcc_2', 'LH_DorsAttnA_ParOcc_1', 'LH_DorsAttnA_SPL_1', 'LH_DorsAttnA_SPL_2', 'LH_DorsAttnA_SPL_3', 'LH_DorsAttnB_PostC_1', 'LH_DorsAttnB_PostC_2', 'LH_DorsAttnB_PostC_3', 'LH_DorsAttnB_PostC_4', 'LH_DorsAttnB_FEF_1', 'LH_SalVentAttnA_ParOper_1', 'LH_SalVentAttnA_Ins_1', 'LH_SalVentAttnA_FrOper_1', 'LH_SalVentAttnA_FrOper_2', 'LH_SalVentAttnA_ParMed_1', 'LH_SalVentAttnA_FrMed_1', 'LH_SalVentAttnA_FrMed_2', 'LH_SalVentAttnB_IPL_1', 'LH_SalVentAttnB_PFCl_1', 'LH_SalVentAttnB_Ins_1', 'LH_SalVentAttnB_PFCmp_1', 'LH_LimbicB_OFC_1', 'LH_LimbicB_OFC_2', 'LH_LimbicA_TempPole_1', 'LH_LimbicA_TempPole_2', 'LH_LimbicA_TempPole_3', 'LH_LimbicA_TempPole_4', 'LH_ContA_Temp_1', 'LH_ContA_IPS_1', 'LH_ContA_IPS_2', 'LH_ContA_IPS_3', 'LH_ContA_PFCd_1', 'LH_ContA_PFClv_1', 'LH_ContA_PFCl_1', 'LH_ContA_PFCl_2', 'LH_ContA_PFCl_3', 'LH_ContA_Cingm_1', 'LH_ContB_Temp_1', 'LH_ContB_IPL_1', 'LH_ContB_PFCl_1', 'LH_ContB_PFClv_1', 'LH_ContB_PFClv_2', 'LH_ContC_pCun_1', 'LH_ContC_pCun_2', 'LH_ContC_Cingp_1', 'LH_DefaultA_IPL_1', 'LH_DefaultA_PFCd_1', 'LH_DefaultA_pCunPCC_1', 'LH_DefaultA_pCunPCC_2', 'LH_DefaultA_pCunPCC_3', 'LH_DefaultA_PFCm_1', 'LH_DefaultA_PFCm_2', 'LH_DefaultA_PFCm_3', 'LH_DefaultB_Temp_1', 'LH_DefaultB_Temp_2', 'LH_DefaultB_Temp_3', 'LH_DefaultB_Temp_4', 'LH_DefaultB_IPL_1', 'LH_DefaultB_PFCd_1', 'LH_DefaultB_PFCd_2', 'LH_DefaultB_PFCd_3', 'LH_DefaultB_PFCd_4', 'LH_DefaultB_PFCv_1', 'LH_DefaultB_PFCv_2', 'LH_DefaultB_PFCv_3', 'LH_DefaultB_PFCv_4', 'LH_DefaultC_IPL_1', 'LH_DefaultC_Rsp_1', 'LH_DefaultC_PHC_1', 'LH_TempPar_1', 'LH_TempPar_2', 'RH_VisCent_ExStr_1', 'RH_VisCent_ExStr_2', 'RH_VisCent_Striate_1', 'RH_VisCent_ExStr_3', 'RH_VisCent_ExStr_4', 'RH_VisCent_ExStr_5', 'RH_VisPeri_ExStrInf_1', 'RH_VisPeri_ExStrInf_2', 'RH_VisPeri_StriCal_1', 'RH_VisPeri_ExStrSup_1', 'RH_VisPeri_ExStrSup_2', 'RH_VisPeri_ExStrSup_3', 'RH_SomMotA_1', 'RH_SomMotA_2', 'RH_SomMotA_3', 'RH_SomMotA_4', 'RH_SomMotA_5', 'RH_SomMotA_6', 'RH_SomMotA_7', 'RH_SomMotA_8', 'RH_SomMotA_9', 'RH_SomMotA_10', 'RH_SomMotA_11', 'RH_SomMotB_Aud_1', 'RH_SomMotB_Aud_2', 'RH_SomMotB_S2_1', 'RH_SomMotB_S2_2', 'RH_SomMotB_S2_3', 'RH_SomMotB_S2_4', 'RH_SomMotB_Cent_1', 'RH_DorsAttnA_TempOcc_1', 'RH_DorsAttnA_ParOcc_1', 'RH_DorsAttnA_SPL_1', 'RH_DorsAttnA_SPL_2', 'RH_DorsAttnA_SPL_3', 'RH_DorsAttnA_SPL_4', 'RH_DorsAttnB_PostC_1', 'RH_DorsAttnB_PostC_2', 'RH_DorsAttnB_PostC_3', 'RH_DorsAttnB_PostC_4', 'RH_DorsAttnB_FEF_1', 'RH_SalVentAttnA_ParOper_1', 'RH_SalVentAttnA_PrC_1', 'RH_SalVentAttnA_Ins_1', 'RH_SalVentAttnA_Ins_2', 'RH_SalVentAttnA_FrOper_1', 'RH_SalVentAttnA_FrMed_1', 'RH_SalVentAttnA_ParMed_1', 'RH_SalVentAttnA_ParMed_2', 'RH_SalVentAttnA_FrMed_2', 'RH_SalVentAttnB_IPL_1', 'RH_SalVentAttnB_PFClv_1', 'RH_SalVentAttnB_PFCl_1', 'RH_SalVentAttnB_Ins_1', 'RH_SalVentAttnB_Ins_2', 'RH_SalVentAttnB_PFCmp_1', 'RH_LimbicB_OFC_1', 'RH_LimbicB_OFC_2', 'RH_LimbicB_OFC_3', 'RH_LimbicB_OFC_4', 'RH_LimbicA_TempPole_1', 'RH_LimbicA_TempPole_2', 'RH_LimbicA_TempPole_3', 'RH_LimbicA_TempPole_4', 'RH_ContA_IPS_1', 'RH_ContA_IPS_2', 'RH_ContA_PFCd_1', 'RH_ContA_PFCl_1', 'RH_ContA_PFCl_2', 'RH_ContA_Cingm_1', 'RH_ContB_Temp_1', 'RH_ContB_Temp_2', 'RH_ContB_IPL_1', 'RH_ContB_IPL_2', 'RH_ContB_PFCld_1', 'RH_ContB_PFCld_2', 'RH_ContB_PFClv_1', 'RH_ContB_PFClv_2', 'RH_ContB_PFCmp_1', 'RH_ContB_PFCld_3', 'RH_ContC_pCun_1', 'RH_ContC_pCun_2', 'RH_ContC_Cingp_1', 'RH_DefaultA_IPL_1', 'RH_DefaultA_PFCd_1', 'RH_DefaultA_pCunPCC_1', 'RH_DefaultA_PFCm_1', 'RH_DefaultA_PFCm_2', 'RH_DefaultA_PFCm_3', 'RH_DefaultB_Temp_1', 'RH_DefaultB_AntTemp_1', 'RH_DefaultB_PFCd_1', 'RH_DefaultB_PFCv_1', 'RH_DefaultC_IPL_1', 'RH_DefaultC_Rsp_1', 'RH_DefaultC_PHC_1', 'RH_TempPar_1', 'RH_TempPar_2', 'RH_TempPar_3', 'RH_TempPar_4', 'sex'] [julearn]
2025-11-18 17:41:57 [info ] Target: age [julearn]
2025-11-18 17:41:57 [info ] Expanded features: ['LH_VisCent_ExStr_1', 'LH_VisCent_ExStr_2', 'LH_VisCent_Striate_1', 'LH_VisCent_ExStr_3', 'LH_VisCent_ExStr_4', 'LH_VisCent_ExStr_5', 'LH_VisPeri_ExStrInf_1', 'LH_VisPeri_ExStrInf_2', 'LH_VisPeri_ExStrInf_3', 'LH_VisPeri_StriCal_1', 'LH_VisPeri_ExStrSup_1', 'LH_VisPeri_ExStrSup_2', 'LH_SomMotA_1', 'LH_SomMotA_2', 'LH_SomMotA_3', 'LH_SomMotA_4', 'LH_SomMotA_5', 'LH_SomMotA_6', 'LH_SomMotA_7', 'LH_SomMotA_8', 'LH_SomMotB_Aud_1', 'LH_SomMotB_Aud_2', 'LH_SomMotB_S2_1', 'LH_SomMotB_S2_2', 'LH_SomMotB_Aud_3', 'LH_SomMotB_S2_3', 'LH_SomMotB_Cent_1', 'LH_SomMotB_Cent_2', 'LH_DorsAttnA_TempOcc_1', 'LH_DorsAttnA_TempOcc_2', 'LH_DorsAttnA_ParOcc_1', 'LH_DorsAttnA_SPL_1', 'LH_DorsAttnA_SPL_2', 'LH_DorsAttnA_SPL_3', 'LH_DorsAttnB_PostC_1', 'LH_DorsAttnB_PostC_2', 'LH_DorsAttnB_PostC_3', 'LH_DorsAttnB_PostC_4', 'LH_DorsAttnB_FEF_1', 'LH_SalVentAttnA_ParOper_1', 'LH_SalVentAttnA_Ins_1', 'LH_SalVentAttnA_FrOper_1', 'LH_SalVentAttnA_FrOper_2', 'LH_SalVentAttnA_ParMed_1', 'LH_SalVentAttnA_FrMed_1', 'LH_SalVentAttnA_FrMed_2', 'LH_SalVentAttnB_IPL_1', 'LH_SalVentAttnB_PFCl_1', 'LH_SalVentAttnB_Ins_1', 'LH_SalVentAttnB_PFCmp_1', 'LH_LimbicB_OFC_1', 'LH_LimbicB_OFC_2', 'LH_LimbicA_TempPole_1', 'LH_LimbicA_TempPole_2', 'LH_LimbicA_TempPole_3', 'LH_LimbicA_TempPole_4', 'LH_ContA_Temp_1', 'LH_ContA_IPS_1', 'LH_ContA_IPS_2', 'LH_ContA_IPS_3', 'LH_ContA_PFCd_1', 'LH_ContA_PFClv_1', 'LH_ContA_PFCl_1', 'LH_ContA_PFCl_2', 'LH_ContA_PFCl_3', 'LH_ContA_Cingm_1', 'LH_ContB_Temp_1', 'LH_ContB_IPL_1', 'LH_ContB_PFCl_1', 'LH_ContB_PFClv_1', 'LH_ContB_PFClv_2', 'LH_ContC_pCun_1', 'LH_ContC_pCun_2', 'LH_ContC_Cingp_1', 'LH_DefaultA_IPL_1', 'LH_DefaultA_PFCd_1', 'LH_DefaultA_pCunPCC_1', 'LH_DefaultA_pCunPCC_2', 'LH_DefaultA_pCunPCC_3', 'LH_DefaultA_PFCm_1', 'LH_DefaultA_PFCm_2', 'LH_DefaultA_PFCm_3', 'LH_DefaultB_Temp_1', 'LH_DefaultB_Temp_2', 'LH_DefaultB_Temp_3', 'LH_DefaultB_Temp_4', 'LH_DefaultB_IPL_1', 'LH_DefaultB_PFCd_1', 'LH_DefaultB_PFCd_2', 'LH_DefaultB_PFCd_3', 'LH_DefaultB_PFCd_4', 'LH_DefaultB_PFCv_1', 'LH_DefaultB_PFCv_2', 'LH_DefaultB_PFCv_3', 'LH_DefaultB_PFCv_4', 'LH_DefaultC_IPL_1', 'LH_DefaultC_Rsp_1', 'LH_DefaultC_PHC_1', 'LH_TempPar_1', 'LH_TempPar_2', 'RH_VisCent_ExStr_1', 'RH_VisCent_ExStr_2', 'RH_VisCent_Striate_1', 'RH_VisCent_ExStr_3', 'RH_VisCent_ExStr_4', 'RH_VisCent_ExStr_5', 'RH_VisPeri_ExStrInf_1', 'RH_VisPeri_ExStrInf_2', 'RH_VisPeri_StriCal_1', 'RH_VisPeri_ExStrSup_1', 'RH_VisPeri_ExStrSup_2', 'RH_VisPeri_ExStrSup_3', 'RH_SomMotA_1', 'RH_SomMotA_2', 'RH_SomMotA_3', 'RH_SomMotA_4', 'RH_SomMotA_5', 'RH_SomMotA_6', 'RH_SomMotA_7', 'RH_SomMotA_8', 'RH_SomMotA_9', 'RH_SomMotA_10', 'RH_SomMotA_11', 'RH_SomMotB_Aud_1', 'RH_SomMotB_Aud_2', 'RH_SomMotB_S2_1', 'RH_SomMotB_S2_2', 'RH_SomMotB_S2_3', 'RH_SomMotB_S2_4', 'RH_SomMotB_Cent_1', 'RH_DorsAttnA_TempOcc_1', 'RH_DorsAttnA_ParOcc_1', 'RH_DorsAttnA_SPL_1', 'RH_DorsAttnA_SPL_2', 'RH_DorsAttnA_SPL_3', 'RH_DorsAttnA_SPL_4', 'RH_DorsAttnB_PostC_1', 'RH_DorsAttnB_PostC_2', 'RH_DorsAttnB_PostC_3', 'RH_DorsAttnB_PostC_4', 'RH_DorsAttnB_FEF_1', 'RH_SalVentAttnA_ParOper_1', 'RH_SalVentAttnA_PrC_1', 'RH_SalVentAttnA_Ins_1', 'RH_SalVentAttnA_Ins_2', 'RH_SalVentAttnA_FrOper_1', 'RH_SalVentAttnA_FrMed_1', 'RH_SalVentAttnA_ParMed_1', 'RH_SalVentAttnA_ParMed_2', 'RH_SalVentAttnA_FrMed_2', 'RH_SalVentAttnB_IPL_1', 'RH_SalVentAttnB_PFClv_1', 'RH_SalVentAttnB_PFCl_1', 'RH_SalVentAttnB_Ins_1', 'RH_SalVentAttnB_Ins_2', 'RH_SalVentAttnB_PFCmp_1', 'RH_LimbicB_OFC_1', 'RH_LimbicB_OFC_2', 'RH_LimbicB_OFC_3', 'RH_LimbicB_OFC_4', 'RH_LimbicA_TempPole_1', 'RH_LimbicA_TempPole_2', 'RH_LimbicA_TempPole_3', 'RH_LimbicA_TempPole_4', 'RH_ContA_IPS_1', 'RH_ContA_IPS_2', 'RH_ContA_PFCd_1', 'RH_ContA_PFCl_1', 'RH_ContA_PFCl_2', 'RH_ContA_Cingm_1', 'RH_ContB_Temp_1', 'RH_ContB_Temp_2', 'RH_ContB_IPL_1', 'RH_ContB_IPL_2', 'RH_ContB_PFCld_1', 'RH_ContB_PFCld_2', 'RH_ContB_PFClv_1', 'RH_ContB_PFClv_2', 'RH_ContB_PFCmp_1', 'RH_ContB_PFCld_3', 'RH_ContC_pCun_1', 'RH_ContC_pCun_2', 'RH_ContC_Cingp_1', 'RH_DefaultA_IPL_1', 'RH_DefaultA_PFCd_1', 'RH_DefaultA_pCunPCC_1', 'RH_DefaultA_PFCm_1', 'RH_DefaultA_PFCm_2', 'RH_DefaultA_PFCm_3', 'RH_DefaultB_Temp_1', 'RH_DefaultB_AntTemp_1', 'RH_DefaultB_PFCd_1', 'RH_DefaultB_PFCv_1', 'RH_DefaultC_IPL_1', 'RH_DefaultC_Rsp_1', 'RH_DefaultC_PHC_1', 'RH_TempPar_1', 'RH_TempPar_2', 'RH_TempPar_3', 'RH_TempPar_4', 'sex'] [julearn]
2025-11-18 17:41:57 [info ] X_types:{'features': ['LH_VisCent_ExStr_1', 'LH_VisCent_ExStr_2', 'LH_VisCent_Striate_1', 'LH_VisCent_ExStr_3', 'LH_VisCent_ExStr_4', 'LH_VisCent_ExStr_5', 'LH_VisPeri_ExStrInf_1', 'LH_VisPeri_ExStrInf_2', 'LH_VisPeri_ExStrInf_3', 'LH_VisPeri_StriCal_1', 'LH_VisPeri_ExStrSup_1', 'LH_VisPeri_ExStrSup_2', 'LH_SomMotA_1', 'LH_SomMotA_2', 'LH_SomMotA_3', 'LH_SomMotA_4', 'LH_SomMotA_5', 'LH_SomMotA_6', 'LH_SomMotA_7', 'LH_SomMotA_8', 'LH_SomMotB_Aud_1', 'LH_SomMotB_Aud_2', 'LH_SomMotB_S2_1', 'LH_SomMotB_S2_2', 'LH_SomMotB_Aud_3', 'LH_SomMotB_S2_3', 'LH_SomMotB_Cent_1', 'LH_SomMotB_Cent_2', 'LH_DorsAttnA_TempOcc_1', 'LH_DorsAttnA_TempOcc_2', 'LH_DorsAttnA_ParOcc_1', 'LH_DorsAttnA_SPL_1', 'LH_DorsAttnA_SPL_2', 'LH_DorsAttnA_SPL_3', 'LH_DorsAttnB_PostC_1', 'LH_DorsAttnB_PostC_2', 'LH_DorsAttnB_PostC_3', 'LH_DorsAttnB_PostC_4', 'LH_DorsAttnB_FEF_1', 'LH_SalVentAttnA_ParOper_1', 'LH_SalVentAttnA_Ins_1', 'LH_SalVentAttnA_FrOper_1', 'LH_SalVentAttnA_FrOper_2', 'LH_SalVentAttnA_ParMed_1', 'LH_SalVentAttnA_FrMed_1', 'LH_SalVentAttnA_FrMed_2', 'LH_SalVentAttnB_IPL_1', 'LH_SalVentAttnB_PFCl_1', 'LH_SalVentAttnB_Ins_1', 'LH_SalVentAttnB_PFCmp_1', 'LH_LimbicB_OFC_1', 'LH_LimbicB_OFC_2', 'LH_LimbicA_TempPole_1', 'LH_LimbicA_TempPole_2', 'LH_LimbicA_TempPole_3', 'LH_LimbicA_TempPole_4', 'LH_ContA_Temp_1', 'LH_ContA_IPS_1', 'LH_ContA_IPS_2', 'LH_ContA_IPS_3', 'LH_ContA_PFCd_1', 'LH_ContA_PFClv_1', 'LH_ContA_PFCl_1', 'LH_ContA_PFCl_2', 'LH_ContA_PFCl_3', 'LH_ContA_Cingm_1', 'LH_ContB_Temp_1', 'LH_ContB_IPL_1', 'LH_ContB_PFCl_1', 'LH_ContB_PFClv_1', 'LH_ContB_PFClv_2', 'LH_ContC_pCun_1', 'LH_ContC_pCun_2', 'LH_ContC_Cingp_1', 'LH_DefaultA_IPL_1', 'LH_DefaultA_PFCd_1', 'LH_DefaultA_pCunPCC_1', 'LH_DefaultA_pCunPCC_2', 'LH_DefaultA_pCunPCC_3', 'LH_DefaultA_PFCm_1', 'LH_DefaultA_PFCm_2', 'LH_DefaultA_PFCm_3', 'LH_DefaultB_Temp_1', 'LH_DefaultB_Temp_2', 'LH_DefaultB_Temp_3', 'LH_DefaultB_Temp_4', 'LH_DefaultB_IPL_1', 'LH_DefaultB_PFCd_1', 'LH_DefaultB_PFCd_2', 'LH_DefaultB_PFCd_3', 'LH_DefaultB_PFCd_4', 'LH_DefaultB_PFCv_1', 'LH_DefaultB_PFCv_2', 'LH_DefaultB_PFCv_3', 'LH_DefaultB_PFCv_4', 'LH_DefaultC_IPL_1', 'LH_DefaultC_Rsp_1', 'LH_DefaultC_PHC_1', 'LH_TempPar_1', 'LH_TempPar_2', 'RH_VisCent_ExStr_1', 'RH_VisCent_ExStr_2', 'RH_VisCent_Striate_1', 'RH_VisCent_ExStr_3', 'RH_VisCent_ExStr_4', 'RH_VisCent_ExStr_5', 'RH_VisPeri_ExStrInf_1', 'RH_VisPeri_ExStrInf_2', 'RH_VisPeri_StriCal_1', 'RH_VisPeri_ExStrSup_1', 'RH_VisPeri_ExStrSup_2', 'RH_VisPeri_ExStrSup_3', 'RH_SomMotA_1', 'RH_SomMotA_2', 'RH_SomMotA_3', 'RH_SomMotA_4', 'RH_SomMotA_5', 'RH_SomMotA_6', 'RH_SomMotA_7', 'RH_SomMotA_8', 'RH_SomMotA_9', 'RH_SomMotA_10', 'RH_SomMotA_11', 'RH_SomMotB_Aud_1', 'RH_SomMotB_Aud_2', 'RH_SomMotB_S2_1', 'RH_SomMotB_S2_2', 'RH_SomMotB_S2_3', 'RH_SomMotB_S2_4', 'RH_SomMotB_Cent_1', 'RH_DorsAttnA_TempOcc_1', 'RH_DorsAttnA_ParOcc_1', 'RH_DorsAttnA_SPL_1', 'RH_DorsAttnA_SPL_2', 'RH_DorsAttnA_SPL_3', 'RH_DorsAttnA_SPL_4', 'RH_DorsAttnB_PostC_1', 'RH_DorsAttnB_PostC_2', 'RH_DorsAttnB_PostC_3', 'RH_DorsAttnB_PostC_4', 'RH_DorsAttnB_FEF_1', 'RH_SalVentAttnA_ParOper_1', 'RH_SalVentAttnA_PrC_1', 'RH_SalVentAttnA_Ins_1', 'RH_SalVentAttnA_Ins_2', 'RH_SalVentAttnA_FrOper_1', 'RH_SalVentAttnA_FrMed_1', 'RH_SalVentAttnA_ParMed_1', 'RH_SalVentAttnA_ParMed_2', 'RH_SalVentAttnA_FrMed_2', 'RH_SalVentAttnB_IPL_1', 'RH_SalVentAttnB_PFClv_1', 'RH_SalVentAttnB_PFCl_1', 'RH_SalVentAttnB_Ins_1', 'RH_SalVentAttnB_Ins_2', 'RH_SalVentAttnB_PFCmp_1', 'RH_LimbicB_OFC_1', 'RH_LimbicB_OFC_2', 'RH_LimbicB_OFC_3', 'RH_LimbicB_OFC_4', 'RH_LimbicA_TempPole_1', 'RH_LimbicA_TempPole_2', 'RH_LimbicA_TempPole_3', 'RH_LimbicA_TempPole_4', 'RH_ContA_IPS_1', 'RH_ContA_IPS_2', 'RH_ContA_PFCd_1', 'RH_ContA_PFCl_1', 'RH_ContA_PFCl_2', 'RH_ContA_Cingm_1', 'RH_ContB_Temp_1', 'RH_ContB_Temp_2', 'RH_ContB_IPL_1', 'RH_ContB_IPL_2', 'RH_ContB_PFCld_1', 'RH_ContB_PFCld_2', 'RH_ContB_PFClv_1', 'RH_ContB_PFClv_2', 'RH_ContB_PFCmp_1', 'RH_ContB_PFCld_3', 'RH_ContC_pCun_1', 'RH_ContC_pCun_2', 'RH_ContC_Cingp_1', 'RH_DefaultA_IPL_1', 'RH_DefaultA_PFCd_1', 'RH_DefaultA_pCunPCC_1', 'RH_DefaultA_PFCm_1', 'RH_DefaultA_PFCm_2', 'RH_DefaultA_PFCm_3', 'RH_DefaultB_Temp_1', 'RH_DefaultB_AntTemp_1', 'RH_DefaultB_PFCd_1', 'RH_DefaultB_PFCv_1', 'RH_DefaultC_IPL_1', 'RH_DefaultC_Rsp_1', 'RH_DefaultC_PHC_1', 'RH_TempPar_1', 'RH_TempPar_2', 'RH_TempPar_3', 'RH_TempPar_4'], 'confound': ['sex']} [julearn]
2025-11-18 17:41:58 [info ] ==================== [julearn]
2025-11-18 17:41:58 [info ] [julearn]
2025-11-18 17:41:58 [info ] = Model Parameters = [julearn]
2025-11-18 17:41:58 [info ] ==================== [julearn]
2025-11-18 17:41:58 [info ] [julearn]
2025-11-18 17:41:58 [info ] = Data Information = [julearn]
2025-11-18 17:41:58 [info ] Problem type: regression [julearn]
2025-11-18 17:41:58 [info ] Number of samples: 10 [julearn]
2025-11-18 17:41:58 [info ] Number of features: 201 [julearn]
2025-11-18 17:41:58 [info ] ==================== [julearn]
2025-11-18 17:41:58 [info ] [julearn]
2025-11-18 17:41:58 [info ] Target type: int64 [julearn]
2025-11-18 17:41:58 [info ] Using outer CV scheme KFold(n_splits=3, random_state=None, shuffle=False) [julearn]
fit_time score_time ... fold cv_mdsum
0 0.148416 0.020808 ... 0 509497eb21da473048117e0c6704d3ea
1 0.144738 0.020461 ... 1 509497eb21da473048117e0c6704d3ea
2 0.145259 0.020700 ... 2 509497eb21da473048117e0c6704d3ea
[3 rows x 8 columns]
Interpretation of results: Doing machine learning with only 10 datapoints is not meaningful. This explains the big variation in scores for different cross-validation folds.
Total running time of the script: (4 minutes 27.053 seconds)