Add curation script for `INSPIRED` dataset BIDSification #185

valosekj · 2022-11-29T15:16:27Z

This PR adds a python script for the curation of the INSPIRED dataset to be BIDS compliant.
The PR is a draft and is still in progress.

Fixes: #184

…t format

jcohenadad

Please put the script under the dataset, in the 'code/' folder

… Copy the script itself to the path_output/code folder.

valosekj · 2022-12-05T14:23:18Z

I finished the script to be ready for review. Notes below.

Input dataset

Input dataset (as stored on the `duke/mri/INSPIRED`):

$ tree -L 3
.
├── 01
│   ├── csm
│   │   ├── 001.tar.gz
│   │   ├── 005.tar.gz
│   │   ├── 006.tar.gz
│   │   ├── 007.tar.gz
│   │   ├── 008.tar.gz
│   │   ├── 009.tar.gz
│   │   ├── 010.tar.gz
│   │   ├── 015.tar.gz
│   │   ├── 017.tar.gz
│   │   ├── 018.tar.gz
│   │   ├── 019.tar.gz
│   │   ├── 021.tar.gz
│   │   ├── 022.tar.gz
│   │   └── 023.tar.gz
│   ├── hc
│   │   ├── 001.tar.gz
│   │   ├── 002.tar.gz
│   │   ├── 004.tar.gz
│   │   ├── 005.tar.gz
│   │   ├── 006.tar.gz
│   │   ├── 007.tar.gz
│   │   ├── 009.tar.gz
│   │   ├── 010.tar.gz
│   │   ├── 011.tar.gz
│   │   ├── 012.tar.gz
│   │   ├── 013.tar.gz
│   │   ├── 014.tar.gz
│   │   ├── 015.tar.gz
│   │   └── 016.tar.gz
│   └── sci
│       ├── 003.tar.gz
│       └── 012.tar.gz
├── 02
│   ├── csm
│   │   ├── 001.tar.gz
│   │   ├── 002.tar.gz
│   │   ├── 003.tar.gz
│   │   ├── 004.tar.gz
│   │   ├── 005.tar.gz
│   │   ├── 006.tar.gz
│   │   ├── 007.tar.gz
│   │   ├── 008.tar.gz
│   │   ├── 009.tar.gz
│   │   ├── 010.tar.gz
│   │   ├── 011.tar.gz
│   │   ├── 012.tar.gz
│   │   ├── 013.tar.gz
│   │   ├── 014.tar.gz
│   │   ├── 015.tar.gz
│   │   ├── 016.tar.gz
│   │   ├── 017.tar.gz
│   │   ├── 018.tar.gz
│   │   ├── 019.tar.gz
│   │   ├── 020.tar.gz
│   │   ├── 021.tar.gz
│   │   ├── 022.tar.gz
│   │   ├── 023.tar.gz
│   │   └── 024.tar.gz
│   ├── hc
│   │   ├── 001.tar.gz
│   │   ├── 002.tar.gz
│   │   ├── 003.tar.gz
│   │   ├── 004.tar.gz
│   │   ├── 005.tar.gz
│   │   ├── 006.tar.gz
│   │   ├── 007.tar.gz
│   │   ├── 008.tar.gz
│   │   ├── 009.tar.gz
│   │   └── 010.tar.gz
│   └── sci
│       ├── 001.tar.gz
│       ├── 002.tar.gz
│       ├── 003.tar.gz
│       ├── 004.tar.gz
│       ├── 005.tar.gz
│       ├── 006.tar.gz
│       ├── 007.tar.gz
│       ├── 008.tar.gz
│       ├── 010.tar.gz
│       ├── 011.tar.gz
│       ├── 012.tar.gz
│       ├── 013.tar.gz
│       ├── 014.tar.gz
│       ├── 015.tar.gz
│       ├── 016.tar.gz
│       └── 017.tar.gz
└── README.txt

Files for a single subject (after unpacking by `tar -xf`):

/01/csm/001$ tree -L 5
.
└── bl
    ├── brain
    │   ├── dwi.bval
    │   ├── dwi.bvec
    │   ├── dwi.nii.gz
    │   ├── dwi_ad1000.nii.gz
    │   ├── dwi_md1000.nii.gz
    │   ├── dwi_rd1000.nii.gz
    │   ├── dwi_reversed_blip.nii.gz
    │   ├── mpm_A.nii.gz
    │   ├── mpm_MT.nii.gz
    │   ├── mpm_MT_std.nii.gz
    │   ├── mpm_MT_std_Cerebellum.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_BiasCorrected.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_Brain.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_Parcellation.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_Segmentation.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_Segmentation_clean.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_Segmentation_flat.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_TIV.nii.gz
    │   ├── mpm_MT_std_NeuroMorph_prior.nii.gz
    │   ├── mpm_R1_UNICORT.nii.gz
    │   ├── mpm_R2s_OLS.nii.gz
    │   └── mpm_raw
    │       ├── sINSPIREDTrial-0002-00001-000176-01.json
    │       ├── sINSPIREDTrial-0002-00001-000176-01.nii
    │       ├── sINSPIREDTrial-0002-00001-000352-02.json
    │       ├── sINSPIREDTrial-0002-00001-000352-02.nii
    │       ├── sINSPIREDTrial-0002-00001-000528-03.json
    │       ├── sINSPIREDTrial-0002-00001-000528-03.nii
    │       ├── sINSPIREDTrial-0002-00001-000704-04.json
    │       ├── sINSPIREDTrial-0002-00001-000704-04.nii
    │       ├── sINSPIREDTrial-0002-00001-000880-05.json
    │       ├── sINSPIREDTrial-0002-00001-000880-05.nii
    │       ├── sINSPIREDTrial-0002-00001-001056-06.json
    │       ├── sINSPIREDTrial-0002-00001-001056-06.nii
    │       ├── sINSPIREDTrial-0005-00001-000176-01.json
    │       ├── sINSPIREDTrial-0005-00001-000176-01.nii
    │       ├── sINSPIREDTrial-0005-00001-000352-02.json
    │       ├── sINSPIREDTrial-0005-00001-000352-02.nii
    │       ├── sINSPIREDTrial-0005-00001-000528-03.json
    │       ├── sINSPIREDTrial-0005-00001-000528-03.nii
    │       ├── sINSPIREDTrial-0005-00001-000704-04.json
    │       ├── sINSPIREDTrial-0005-00001-000704-04.nii
    │       ├── sINSPIREDTrial-0005-00001-000880-05.json
    │       ├── sINSPIREDTrial-0005-00001-000880-05.nii
    │       ├── sINSPIREDTrial-0005-00001-001056-06.json
    │       ├── sINSPIREDTrial-0005-00001-001056-06.nii
    │       ├── sINSPIREDTrial-0005-00001-001232-07.json
    │       ├── sINSPIREDTrial-0005-00001-001232-07.nii
    │       ├── sINSPIREDTrial-0005-00001-001408-08.json
    │       ├── sINSPIREDTrial-0005-00001-001408-08.nii
    │       ├── sINSPIREDTrial-0008-00001-000176-01.json
    │       ├── sINSPIREDTrial-0008-00001-000176-01.nii
    │       ├── sINSPIREDTrial-0008-00001-000352-02.json
    │       ├── sINSPIREDTrial-0008-00001-000352-02.nii
    │       ├── sINSPIREDTrial-0008-00001-000528-03.json
    │       ├── sINSPIREDTrial-0008-00001-000528-03.nii
    │       ├── sINSPIREDTrial-0008-00001-000704-04.json
    │       ├── sINSPIREDTrial-0008-00001-000704-04.nii
    │       ├── sINSPIREDTrial-0008-00001-000880-05.json
    │       ├── sINSPIREDTrial-0008-00001-000880-05.nii
    │       ├── sINSPIREDTrial-0008-00001-001056-06.json
    │       ├── sINSPIREDTrial-0008-00001-001056-06.nii
    │       ├── sINSPIREDTrial-0008-00001-001232-07.json
    │       ├── sINSPIREDTrial-0008-00001-001232-07.nii
    │       ├── sINSPIREDTrial-0008-00001-001408-08.json
    │       └── sINSPIREDTrial-0008-00001-001408-08.nii
    └── cord
        ├── dwi.bval
        ├── dwi.bvec
        ├── dwi.nii.gz
        ├── dwi_reversed_blip.nii.gz
        ├── pd_medic.nii.gz
        ├── sct_processing
        │   ├── dwi
        │   │   ├── dti_AD.nii.gz
        │   │   ├── dti_FA.nii.gz
        │   │   ├── dti_MD.nii.gz
        │   │   └── dti_RD.nii.gz
        │   ├── t2
        │   │   └── t2_seg.nii.gz
        │   └── t2s
        │       ├── gm_seg.nii.gz
        │       └── wm_seg.nii.gz
        ├── t1_sag.nii.gz
        ├── t2_sag.nii.gz
        └── t2_tra.nii.gz

Conversion notes

So far, for the cord folder, I am converting all raw images (i.e. I am not converting files in the cord/sct_processing).
For the brain folder, I am converting DWI files and raw MPM images in the brain/mpm_raw folder (i.e., I am not converting processed mpm_ files).
To differentiate spine imaging from the brain, I am using the bp-cspine tag.

The filename conversion dictionaries are listed on lines 47-67.

The tricky part was related to the MPM. I had to load json sidecar for each MPM file to fetch EchoTime, FlipAngle, and SeriesDescription. Then the BIDS complaint MPM filenames are constructed within the construct_mpm_bids_filename function:

data-management/scripts/curate_data_inspired.py

Lines 118 to 120 in ad2e658

    
           def construct_mpm_bids_filename(mpm_files_dict, path_output, subject_out): 
        
               """ 
        
               Construct BIDS compliant filename for MPM images, e.g. 'acq-T1w_echo-1_flip-1_mt-off_MPM'

My notes regarding the MPM files conversion are available here.

Output dataset

I was testing the script on the copy of the dataset (extrassd1/janvalosek/INSPIRED). The converted dataset is available in extrassd1/janvalosek/INSPIRED_bids.

The script also creates participants.tsv, participants.json, dataset_description.json, and README files. Also, the script copies itself to the /code folder.

Output dataset (the first subject shown):

$ tree -L 3
.
├── bids_conversion.log
├── code
│   └── curate_data_inspired.py
├── dataset_description.json
├── participants.json
├── participants.tsv
├── README
├── sub-torontoDCM001
│   ├── anat
│   │   ├── sub-torontoDCM001_acq-axial_bp-cspine_T2w.json
│   │   ├── sub-torontoDCM001_acq-axial_bp-cspine_T2w.nii.gz
│   │   ├── sub-torontoDCM001_acq-coronal_bp-cspine_T2w.json
│   │   ├── sub-torontoDCM001_acq-coronal_bp-cspine_T2w.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-1_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-1_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-2_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-2_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-3_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-3_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-4_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-4_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-5_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-5_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-MTw_echo-6_flip-1_mt-on_MPM.json
│   │   ├── sub-torontoDCM001_acq-MTw_echo-6_flip-1_mt-on_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-1_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-1_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-2_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-2_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-3_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-3_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-4_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-4_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-5_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-5_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-6_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-6_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-7_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-7_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-PDw_echo-8_flip-2_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-PDw_echo-8_flip-2_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-1_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-1_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-2_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-2_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-3_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-3_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-4_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-4_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-5_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-5_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-6_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-6_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-7_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-7_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_acq-T1w_echo-8_flip-3_mt-off_MPM.json
│   │   ├── sub-torontoDCM001_acq-T1w_echo-8_flip-3_mt-off_MPM.nii.gz
│   │   ├── sub-torontoDCM001_bp-cspine_T1w.json
│   │   ├── sub-torontoDCM001_bp-cspine_T1w.nii.gz
│   │   ├── sub-torontoDCM001_bp-cspine_T2star.json
│   │   └── sub-torontoDCM001_bp-cspine_T2star.nii.gz
│   └── dwi
│       ├── sub-torontoDCM001_dir-AP_bp-cspine_dwi.bval
│       ├── sub-torontoDCM001_dir-AP_bp-cspine_dwi.bvec
│       ├── sub-torontoDCM001_dir-AP_bp-cspine_dwi.json
│       ├── sub-torontoDCM001_dir-AP_bp-cspine_dwi.nii.gz
│       ├── sub-torontoDCM001_dir-AP_dwi.bval
│       ├── sub-torontoDCM001_dir-AP_dwi.bvec
│       ├── sub-torontoDCM001_dir-AP_dwi.json
│       ├── sub-torontoDCM001_dir-AP_dwi.nii.gz
│       ├── sub-torontoDCM001_dir-PA_bp-cspine_dwi.json
│       ├── sub-torontoDCM001_dir-PA_bp-cspine_dwi.nii.gz
│       ├── sub-torontoDCM001_dir-PA_dwi.json
│       └── sub-torontoDCM001_dir-PA_dwi.nii.gz
├── sub-torontoDCM002
...

The participants.tsv file looks like:

participant_id	pathology	data_id	institution_id	institution
sub-torontoDCM001	DCM	001	01	toronto
sub-torontoDCM002	DCM	005	01	toronto
...

Questions

Should I also convert processed files (i.e., files in the cord/sct_processing and processed brain/mpm_ files) and save them to derivatives?

valosekj · 2022-12-05T14:24:40Z

Please put the script under the dataset, in the 'code/' folder

Done here:

data-management/scripts/curate_data_inspired.py

Lines 245 to 250 in 31df28e

    
           def copy_script(path_output): 
        
               """ 
        
               Copy the script itself to the path_output/code folder 
        
               :param path_output: path to the output BIDS folder 
        
               :return: 
        
               """

jcohenadad

Please keep the original subject ID
Update README (see my other comment in this section)

scripts/curate_data_inspired.py

jcohenadad · 2022-12-06T16:57:31Z

julien todo: fix readme and jan: ping julien for readme

jcohenadad · 2022-12-06T16:58:44Z

does it pass the BIDS validator?

valosekj · 2022-12-12T20:24:53Z

Sorry, accidentally closed --> reopening.

mariehbourget · 2022-12-12T22:18:45Z

There is a thing that acq- field is already used (we have acq-axial and acq-coronal for T2w and acq-MTw, acq-PDw, and acq-T1w for MPM):

this is a very good point. So maybe we should use bp- indeed 🤷

If you absolutely need BIDS compliant filenames, an alternative would be to combine both information in the acq- entity in camelCase.
examples:
acq-axialCspine or acq-cspineAxial for T2w
and
acq-PDwCspine or acq-cspinePDw for MPM
A description of each labels could also be added to the README to clarify the labeling.

jcohenadad · 2022-12-13T14:43:46Z

#185 (comment) this is a good option as well

valosekj · 2022-12-21T20:41:20Z

Thank you @mariehbourget!

I switched to acq-cspineSagittal and acq-cspineAxial in 30ae997

Add write_json function.

…data

…original participants.tsv)

To address spinalcordtoolbox/spinalcordtoolbox#3991 (comment)

…l.ca/data/dataset-curation.html#participants-json

valosekj · 2023-01-21T15:22:20Z

@jcohenadad, I updated the script for INSPIRED dataset BIDSification. The dataset should be ready for upload to git-annex.

README.md is attached to this PR for easy review.

The BIDSified dataset is available in: ~/extrassd1/janvalosek/INSPIRED_bids_20230121. It passes bids-validator.

Based on our recent discussion, I'm using label-xx_seg.nii.gz suffixes for SC, WM, and GM segmentations:

data-management/scripts/curate_data_inspired.py

Lines 67 to 70 in 33f440a

    
           derivatives_spine_conv_dict = { 
        
               't2_seg.nii.gz': 'acq-cspineAxial_T2w_label-SC_seg.nii.gz', 
        
               'gm_seg.nii.gz': 'acq-cspine_T2star_label-GM_seg.nii.gz', 
        
               'wm_seg.nii.gz': 'acq-cspine_T2star_label-WM_seg.nii.gz'

acq-cspine tag in combination with camelCase is used to differentiate spine images from the brain. Details here.

To address unmatched sform/qform, I copy qform to sform:

data-management/scripts/curate_data_inspired.py

Lines 104 to 114 in e17ed2c

    
           def copy_qform_to_sform(path_dir_out, file_out): 
        
               """ 
        
               Copy qform to sform for to address https://github.com/spinalcordtoolbox/spinalcordtoolbox/issues/3991#issuecomment-1378765661 
        
               :param path_dir_out: 
        
               :param file_out: 
        
               :return: 
        
               """ 
        
               path_file = os.path.join(path_dir_out, file_out) 
        
               # Make sure that the input file exists, if so, copy it 
        
               if os.path.isfile(path_file): 
        
                   os.system('sct_image -i ' + path_file + ' -set-qform-to-sform')

TODO: Once the dataset is git-annexed, I will add clinical info (mJOA, etc.) and manual disc labels (which I created in the context of the OHBM abstract) as separate commits to allow easy tracking by git log --stat git-annex.

scripts/README.md

Co-authored-by: Julien Cohen-Adad <[email protected]>

valosekj · 2023-02-15T23:30:44Z

BIDSification completed (see #208) --> closing

Add python script for conversion of INSPIRED dataset to BIDS complian…

08786fe

…t format

jcohenadad reviewed Nov 29, 2022

View reviewed changes

valosekj added 13 commits November 29, 2022 14:07

Implement MPM image BIDSification

37038dc

Make sure that input args have abs path

336ad10

Match also upper case in MPM json sidecars

3e231d3

Fix condition when there are no json sidecars for MPM images

0df6da5

Save conversion progress to log

0c17d8c

Write participants.tsv file

1814879

Comments clarification

36a5b89

Create participants.json, dataset_description.json, and README files.…

6a07373

… Copy the script itself to the path_output/code folder.

Use ISO-8859-1 encoding to open json files

1c2d836

Sort subjects in participants.tsv; fix typo in participants.json

71c6eb0

Keep only .tar.gz subjects in the input dataset

13ecab1

Remove solved TODO

ad2e658

Add usage example

31df28e

valosekj requested a review from jcohenadad December 5, 2022 14:24

valosekj marked this pull request as ready for review December 5, 2022 14:27

jcohenadad requested changes Dec 6, 2022

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jcohenadad reviewed Dec 6, 2022

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valosekj added 4 commits December 12, 2022 13:49

Remove function for automatic README creation.

581edc0

Keep the original subjectID

09e12ed

Create .bidsignore to exclude bp-cspine tag from bids-validator

2ce0afd

Fix bug in subject_id variable construction

a2c5bba

valosekj closed this Dec 12, 2022

valosekj reopened this Dec 12, 2022

valosekj added 2 commits December 21, 2022 15:35

Switch from bp-cspine to acq-cspine

30ae997

Deal with SC derivatives

b364bf5

valosekj added 15 commits January 4, 2023 08:33

Use label-SC_mask, label-WM_mask, and label-GM_mask

cf60790

Include DatasetType (raw or derivative) to dataset_description.json.

0d135cc

Add write_json function.

Update participants.tsv and participants.json

1b52867

Add script for merge of participants.tsv and table with clinical DCM …

65e56e1

…data

Rename data_id to source_id to be compatible with participants.tsv

5a39c77

Use n/a for empty cells

1151061

Add leading zeros to source_id and institution_id (to match with the …

374876a

…original participants.tsv)

Clarify script description

8959d2c

Rename derivatives/labels to derivatives/manual_labels

6d3a956

Copy qform to sform

a81a8ef

To address spinalcordtoolbox/spinalcordtoolbox#3991 (comment)

Swap 'dir-AP_acq-cspine' to 'acq-cspine_dir-AP' to pass bids-validator

4fbc4bf

Change '_mask' to '_seg'

f529249

Rename README to README.md and update it.

b5a7b5f

Update 'participants.json' according to https://intranet.neuro.polymt…

33f440a

…l.ca/data/dataset-curation.html#participants-json

README.md update

e17ed2c

valosekj requested a review from jcohenadad January 21, 2023 15:22

jcohenadad reviewed Jan 24, 2023

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valosekj and others added 2 commits January 24, 2023 11:22

Move infolink

9941af1

Co-authored-by: Julien Cohen-Adad <[email protected]>

Add Contact Person section

7d97836

Co-authored-by: Julien Cohen-Adad <[email protected]>

valosekj mentioned this pull request Jan 26, 2023

inspired - add data #208

Closed

valosekj closed this Feb 15, 2023

valosekj deleted the jv/curate_inspired branch February 27, 2023 17:38

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Add curation script for `INSPIRED` dataset BIDSification #185

Add curation script for `INSPIRED` dataset BIDSification #185

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valosekj commented Feb 15, 2023

Add curation script for INSPIRED dataset BIDSification #185

Add curation script for INSPIRED dataset BIDSification #185

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Input dataset

Conversion notes

Output dataset

Questions

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valosekj commented Jan 21, 2023 • edited Loading

valosekj commented Feb 15, 2023

Add curation script for `INSPIRED` dataset BIDSification #185

Add curation script for `INSPIRED` dataset BIDSification #185

valosekj commented Dec 5, 2022 •

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valosekj commented Jan 21, 2023 •

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