Hugging Face's logo

Datasets:
TobiasPitters
/
ds004884-mini

Tasks:
Other
Size:
n<1K
Tags:
bids
neuroimaging
medical
aphasia
stroke
fmri
License:
Dataset card Files
xet
 Community
ds004884-mini / README.md
TobiasPitters's picture
TobiasPitters
Add Aphasia Recovery Cohort (ARC) mini BIDS dataset
551cb65 verified
preview code
|
raw
history blame contribute delete
3.95 kB
metadata 
license: cc0-1.0
task_categories:
  - other
tags:
  - bids
  - neuroimaging
  - medical
  - aphasia
  - stroke
  - fmri
pretty_name: Aphasia Recovery Cohort (ARC) Dataset - Mini Sample
size_categories:
  - n<1K
dataset_info:
  features:
    - name: subject
      dtype: string
    - name: session
      dtype: string
    - name: datatype
      dtype: string
    - name: suffix
      dtype: string
    - name: task
      dtype: string
    - name: run
      dtype: string
    - name: path
      dtype: string
    - name: nifti
      dtype: nifti
    - name: metadata
      dtype: string
  splits:
    - name: train
      num_bytes: 671825
      num_examples: 268
  download_size: 11706591808
  dataset_size: 671825
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Aphasia Recovery Cohort (ARC) Dataset - Mini Sample

Dataset Description

This is a mini sample of the Aphasia Recovery Cohort (ARC) Dataset, formatted in BIDS (Brain Imaging Data Structure). The full dataset is available on OpenNeuro.

The Aphasia Recovery Cohort is an open-source chronic stroke repository containing neuroimaging data from aphasia patients.

Dataset Information

Authors

  • Makayla Gibson
  • Roger Newman-Norlund
  • Leonardo Bonilha
  • Julius Fridriksson
  • Gregory Hickok
  • Argye E. Hillis
  • Dirk-Bart den Ouden
  • Chris Rorden

Citation

If you use this dataset, please cite:

@article{gibson2024aphasia,
  title={The Aphasia Recovery Cohort, an open-source chronic stroke repository},
  author={Gibson, Makayla and Newman-Norlund, Roger and Bonilha, Leonardo and Fridriksson, Julius and Hickok, Gregory and Hillis, Argye E and den Ouden, Dirk-Bart and Rorden, Chris},
  journal={Scientific Data},
  volume={11},
  number={1},
  pages={981},
  year={2024},
  publisher={Nature Publishing Group},
  doi={10.1038/s41597-024-03819-7},
  pmid={39251640}
}

Plain text citation: Gibson M, Newman-Norlund R, Bonilha L, Fridriksson J, Hickok G, Hillis AE, den Ouden DB, Rorden C. The Aphasia Recovery Cohort, an open-source chronic stroke repository. Sci Data. 2024 Sep 9;11(1):981. doi: 10.1038/s41597-024-03819-7. PMID: 39251640.

Funding

This work was supported by:

  • National Institute of Health Grant P50DC014664
  • National Institute of Health Grant U01DC011739
  • National Institute of Health Grant R01DC008355
  • National Institute of Health Grant RF1MH133701

Ethics

All data acquired from studies that were approved by the Institutional Review Board at the University of South Carolina. Because final dataset is fully anonymised, it meets exemption criteria.

Acknowledgements

Special thanks to the C-STAR participants, faculty and staff, as well as our collaborators.

Dataset Structure

This mini sample contains a subset of the full ARC dataset for testing and development purposes. It includes:

  • Subject: M2002
  • Multiple sessions
  • Anatomical (T1w, T2w), functional (BOLD), and diffusion (DWI) MRI data

Loading the Dataset 

from datasets import load_dataset

# Load the mini BIDS dataset
ds = load_dataset("TobiasPitters/ds004884-mini")

# Access the data
example = ds["train"][0]
print(f"Subject: {example['subject']}")
print(f"Metadata: {example['metadata']}")  # Returns as Python dict
print(f"NIfTI data: {example['nifti']}")  # Lazy-loaded nibabel image

License

CC0 - Public Domain. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Links