DS003380: eeg dataset, 1 subjects#

Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

Access recordings and metadata through EEGDash.

Citation: Martin G. Frasch, Bernd Walter, Chrstophe L. Herry, Reinhard Bauer (2020). Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig. 10.18112/openneuro.ds003380.v1.0.0

Modality: eeg Subjects: 1 Recordings: 5 License: CC0 Source: openneuro

Metadata: Complete (90%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS003380

dataset = DS003380(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS003380(cache_dir="./data", subject="01")

Advanced query

dataset = DS003380(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

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

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

BibTeX

@dataset{ds003380,
  title = {Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig},
  author = {Martin G. Frasch and Bernd Walter and Chrstophe L. Herry and Reinhard Bauer},
  doi = {10.18112/openneuro.ds003380.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds003380.v1.0.0},
}

About This Dataset#

This sedation, ischemia, recovery experiment contains 11 animals (juvenile pigs).

Animals were surgically instrumented, and then monitored under sedation states 1-5 (isoflurane, fentanyl, propofol), followed by 1 or 2 episodes of gradual ischemia (states 6 and 8) and recovery (recovery 1 = state 7, between state 6 and 8; recovery 2, after state 8, corresponding to states 9-12).

Two crude groups are indicated: 1) sedation - animals had no ischemia and 2) ischemia - animals had sedation, followed by ischemia episodes and followed by recovery.

The scientific article (see Reference) contains all methodological details. - Martin Frasch and Reinhard Bauer, October 2, 2020

PS. Sub-12 folder is to be ignored. It was added to satisfy the BIDS validation algorithm.

Dataset Information#

Dataset ID

DS003380

Title

Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

Author (year)

Frasch2020

Canonical

—

Importable as

DS003380, Frasch2020

Year

2020

Authors

Martin G. Frasch, Bernd Walter, Chrstophe L. Herry, Reinhard Bauer

License

CC0

Citation / DOI

10.18112/openneuro.ds003380.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds003380,
  title = {Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig},
  author = {Martin G. Frasch and Bernd Walter and Chrstophe L. Herry and Reinhard Bauer},
  doi = {10.18112/openneuro.ds003380.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds003380.v1.0.0},
}

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: 1

  • Recordings: 5

  • Tasks: —

Channels & sampling rate

  • Channels: 16

  • Sampling rate (Hz): Varies

  • Duration (hours): 0.0894444444444444

Tags

  • Pathology: Other

  • Modality: Anesthesia

  • Type: Clinical/Intervention

Files & format

  • Size on disk: 19.7 MB

  • File count: 5

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: 10.18112/openneuro.ds003380.v1.0.0

Provenance

API Reference#

Use the DS003380 class to access this dataset programmatically.

class eegdash.dataset.DS003380(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

Study:

ds003380 (OpenNeuro)

Author (year):

Frasch2020

Canonical:

—

Also importable as: DS003380, Frasch2020.

Modality: eeg; Experiment type: Clinical/Intervention; Subject type: Other. Subjects: 1; recordings: 5; tasks: 0.

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/ds003380 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds003380 DOI: https://doi.org/10.18112/openneuro.ds003380.v1.0.0

Examples

>>> from eegdash.dataset import DS003380
>>> dataset = DS003380(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

See Also#