Comments (2)
This checking could go as an argument in get_subject
. Something like required_keys=['t1']
would check that the subjects' dictionary contains a 't1' key.
https://github.com/poldracklab/preprocessing-workflow/blob/master/fmriprep/run_workflow.py#L134
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Highly related to #102, and definitely a use-case for #103
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Related Issues (20)
- 'dataset_description.json' is missing from project root. HOT 1
- TypeError: Object of type BIDSImageFile is not JSON serializable HOT 4
- Crash on bad TOPUP orientations
- missing dataset_description.json file when run preprocess with mac m1 system HOT 1
- reason: TypeError: Cannot read properties of undefined (reading 'split') HOT 3
- ValueError: Could not build path with entities HOT 4
- Would '--anat-only' crashes with '--use-aroma', or '--ignore slicetiming' option? HOT 1
- Add option to control t2smap fittype HOT 2
- Any FreeSurfer output space is required when using `--project-goodvoxels` HOT 4
- Memory issues during gen_avg for high-res fMRI data HOT 2
- AROMA not running in 23.1 HOT 6
- `validate_nii` node failing when using SYN SDC HOT 7
- Documentation for init_bold_grayords_wf out of date
- Save both initial and final bold reference files HOT 1
- DOC: Update outputs.rst to indicate hemi entity precedes space HOT 2
- boldref intensity HOT 6
- Avoiding sbrefs for the coregistration reference causes poor registration in low contrast multiband sequences HOT 20
- Large Number of Masked Out Voxels in ME Data HOT 16
- Split into separate fit & apply workflows HOT 9
- Low process ulimits can result in missing output failures (here in fsl2itk) HOT 26
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