DS006945#

Structural MRI and fMRI of Participants Performing Kinesthetic Motor Imagery of Walking vs. Standing While Viewing a First‑Person Exoskeleton Video Stimulus (11 Stop‑Walk‑Stop Cycles)

Access recordings and metadata through EEGDash.

Citation: Shantanu Sarkar, Kevin Nathan, Jose L. Contreras-Vidal (2025). Structural MRI and fMRI of Participants Performing Kinesthetic Motor Imagery of Walking vs. Standing While Viewing a First‑Person Exoskeleton Video Stimulus (11 Stop‑Walk‑Stop Cycles). 10.18112/openneuro.ds006945.v1.0.0

Modality: eeg Subjects: 5 Recordings: 114 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS006945

dataset = DS006945(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Query & Filter

Filter by subject

dataset = DS006945(cache_dir="./data", subject="01")

Advanced query

dataset = DS006945(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

for rec in dataset:
    print(rec.subject, rec.raw.info['sfreq'])

Cite This Dataset

If you use this dataset in your research, please cite the original authors.

BibTeX

@dataset{ds006945,
  title = {Structural MRI and fMRI of Participants Performing Kinesthetic Motor Imagery of Walking vs. Standing While Viewing a First‑Person Exoskeleton Video Stimulus (11 Stop‑Walk‑Stop Cycles)},
  author = {Shantanu Sarkar and Kevin Nathan and Jose L. Contreras-Vidal},
  doi = {10.18112/openneuro.ds006945.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds006945.v1.0.0},
}

About This Dataset#

Neuroimaging Data Collected During Kinesthetic Motor Imagery of Walking vs. Rest This dataset includes multimodal neuroimaging recordings from five participants performing kinesthetic motor imagery (KI) while viewing themselves walking in an exoskeleton. The recordings combine MRI (structural and functional) and EEG data, organized according to the BIDS specification.

MRI sessions were conducted after participants completed nine sessions of EEG‑controlled exoskeleton walking and standing experiments. doi:10.18112/openneuro.ds006940.v1.0.0

MRI Acquisition: - Scanner: Philips Ingenia 3.0T (Koninklijke Philips N.V., The Netherlands) - Structural scans: T1‑weighted anatomical images - Functional scans (fMRI): Participants viewed a 10‑minute video of themselves walking in the exoskeleton, filmed from a first‑person perspective. The video contained 11 Stop‑Walk‑Stop (SWS) cycles. During viewing, participants were instructed to evoke KI in synchrony with the exoskeleton movements. - Baseline condition: Participants mentally simulated resting state for approximately 5 minutes while fMRI data was recorded.

Dataset Information#

Dataset ID	`DS006945`
Title	Structural MRI and fMRI of Participants Performing Kinesthetic Motor Imagery of Walking vs. Standing While Viewing a First‑Person Exoskeleton Video Stimulus (11 Stop‑Walk‑Stop Cycles)
Year	2025
Authors	Shantanu Sarkar, Kevin Nathan, Jose L. Contreras-Vidal
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds006945.v1.0.0
Source links	OpenNeuro \| NeMAR \| Source URL

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

Technical Details#

Subjects & recordings

Subjects: 5
Recordings: 114
Tasks: 3

Channels & sampling rate

Channels: 59
Sampling rate (Hz): 5000.0
Duration (hours): 0.0

API Reference#

Use the DS006945 class to access this dataset programmatically.

class eegdash.dataset.DS006945(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds006945. Modality: eeg; Experiment type: Motor; Subject type: Healthy. Subjects: 5; recordings: 14; tasks: 3.

Parameters:

cache_dir (str | Path) – Directory where data are cached locally.
query (dict | None) – Additional MongoDB-style filters to AND with the dataset selection. Must not contain the key dataset.
s3_bucket (str | None) – Base S3 bucket used to locate the data.
**kwargs (dict) – Additional keyword arguments forwarded to EEGDashDataset.

data_dir#

Local dataset cache directory (cache_dir / dataset_id).

Type:: Path

query#

Merged query with the dataset filter applied.

Type:: dict

records#

Metadata records used to build the dataset, if pre-fetched.

Type:: list[dict] | None

Notes

Each item is a recording; recording-level metadata are available via dataset.description. query supports MongoDB-style filters on fields in ALLOWED_QUERY_FIELDS and is combined with the dataset filter. Dataset-specific caveats are not provided in the summary metadata.

References

OpenNeuro dataset: https://openneuro.org/datasets/ds006945 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds006945

Examples

>>> from eegdash.dataset import DS006945
>>> dataset = DS006945(cache_dir="./data")
>>> recording = dataset[0]
>>> raw = recording.load()

__init__(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

save(path, overwrite=False)[source]#

Save the dataset to disk.

Parameters:

path (str or Path) – Destination file path.
overwrite (bool, default False) – If True, overwrite existing file.

Return type:

None