DS003478#

EEG: Depression rest

Access recordings and metadata through EEGDash.

Citation: James F Cavanagh jcavanagh@unm.edu (2021). EEG: Depression rest. 10.18112/openneuro.ds003478.v1.1.0

Modality: eeg Subjects: 122 Recordings: 243 License: CC0 Source: openneuro Citations: 22.0

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS003478

dataset = DS003478(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 = DS003478(cache_dir="./data", subject="01")

Advanced query

dataset = DS003478(
    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{ds003478,
  title = {EEG: Depression rest},
  author = {James F Cavanagh jcavanagh@unm.edu},
  doi = {10.18112/openneuro.ds003478.v1.1.0},
  url = {https://doi.org/10.18112/openneuro.ds003478.v1.1.0},
}

About This Dataset#

Resting EEG data with 122 college-age participants. These are the same participants as the Openneuro prob selection task. Subjects have the same task IDs, so you could match them up if you like. Task included in DMDX programming language, with instructions for eyes open & eyes closed Triggers included for instrucgted one minute spans for open or closed, e.g. : OCCOCO or COOCOC Data collected circa 2008-2010 in John J.B. Allen lab at U Arizona. Subjects scored reliably high or low in Beck Depression Inventory. Some have been clinically interviewed. See .xls sheet. For some subjects (maybe all?), HEOG and VEOG may be mis-labeled as the other. Some files have had some channels interpolated already. There are no raw data to revert to instead… I have never even looked at the last rest run; no idea how it looks. First rest run was high quality though. The first 6 mins happened immedately after EEG hook-up. The second 6 minutes came after task performance (about 1 hour later) 516 has no rest2. 544 was unused in all anlayses due to unstable BDI between mass assessment and lab assessment (1-4 months) - James F Cavanagh 01/18/2021

Dataset Information#

Dataset ID	`DS003478`
Title	EEG: Depression rest
Year	2021
Authors	James F Cavanagh jcavanagh@unm.edu
License	CC0
Citation / DOI	10.18112/openneuro.ds003478.v1.1.0
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: 122
Recordings: 243
Tasks: 1

Channels & sampling rate

Channels: 64 (243), 66 (133), 67 (110)
Sampling rate (Hz): 500.0
Duration (hours): 0.0

API Reference#

Use the DS003478 class to access this dataset programmatically.

class eegdash.dataset.DS003478(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds003478. Modality: eeg; Experiment type: Resting state; Subject type: Healthy. Subjects: 122; recordings: 243; tasks: 1.

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/ds003478 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds003478

Examples

>>> from eegdash.dataset import DS003478
>>> dataset = DS003478(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