language localizer demo dataset

Access

See nilearn.datasets.fetch_language_localizer_demo_dataset.

Notes

10 subjects were scanned with fMRI during a “language localizer” where they (covertly) read meaningful sentences (trial_type=’language’) or strings of consonants (trial_type=’string’), presented one word at a time at the center of the screen (rapid serial visual presentation).

The functional images files (in derivatives/) have been preprocessed (spatially realigned and normalized into the MNI space). Initially acquired with a voxel size of 1.5x1.5x1.5mm, they have been resampled to 4.5x4.5x4.5mm to save disk space.

Direct download link from OSF: https://osf.io/k4jp8/

Content

• data_dir: str. Full path to downloaded dataset.

• func: list of str. Full paths of downloaded files on disk. The data is organized in a BIDS like fashion.

├── access_data.py
├── CHANGES
├── dataset_description.json
├── derivatives
│   ├── dataset_description.json
│   ├── sub-01
│   │   └── func
│   │       ├── sub-01_task-languagelocalizer_desc-confounds_regressors.tsv
│   │       ├── sub-01_task-languagelocalizer_desc-preproc_bold.json
│   │       └── sub-01_task-languagelocalizer_desc-preproc_bold.nii.gz
│   ├── ...
│   └── sub-10
│       └── func
│           ├── sub-10_task-languagelocalizer_desc-confounds_regressors.tsv
│           ├── sub-10_task-languagelocalizer_desc-preproc_bold.json
│           └── sub-10_task-languagelocalizer_desc-preproc_bold.nii.gz
├── participants.tsv
├── README
├── sub-01
│   └── func
│       └── sub-01_task-languagelocalizer_events.tsv
├── ...
└── sub-10
    └── func
        └── sub-10_task-languagelocalizer_events.tsv

License

ODC-BY-SA