DS004019#

Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study

Access recordings and metadata through EEGDash.

Citation: Graciela C. Alatorre-Cruz, Heather Downs, Darcy Hagood, Seth T. Sorensen, D. Keith Williams, Linda Larson-Prior (2022). Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study. 10.18112/openneuro.ds004019.v1.0.0

Modality: eeg Subjects: 62 Recordings: 441 License: CC0 Source: openneuro Citations: 1.0

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS004019

dataset = DS004019(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 = DS004019(cache_dir="./data", subject="01")

Advanced query

dataset = DS004019(
    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{ds004019,
  title = {Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study},
  author = {Graciela C. Alatorre-Cruz and Heather Downs and Darcy Hagood and Seth T. Sorensen and D. Keith Williams and Linda Larson-Prior},
  doi = {10.18112/openneuro.ds004019.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds004019.v1.0.0},
}

About This Dataset#

Introduction

This EEG dataset contains the electrophysiological signal from sixty-two obese and non-obese preteens during a delayed-verification math task. The stimuli were designed and administered using E-Prime software (Version 2) at Arkansas Children Nutrition Center (ACNC), Little Rock, Arkansas. The University of Arkansas for Medical Sciences (UAMS) approved the study protocol. This research was supported by USDA/Agricultural Research Service Project 6026-51000-012-06S.

Raw data files

Dataset Information#

Dataset ID	`DS004019`
Title	Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study
Year	2022
Authors	Graciela C. Alatorre-Cruz, Heather Downs, Darcy Hagood, Seth T. Sorensen, D. Keith Williams, Linda Larson-Prior
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds004019.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: 62
Recordings: 441
Tasks: 1

Channels & sampling rate

Channels: 129 (62), 128 (62)
Sampling rate (Hz): 500.0
Duration (hours): 0.0

API Reference#

Use the DS004019 class to access this dataset programmatically.

class eegdash.dataset.DS004019(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds004019. Modality: eeg; Experiment type: Other; Subject type: Obese. Subjects: 62; recordings: 62; 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/ds004019 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds004019

Examples

>>> from eegdash.dataset import DS004019
>>> dataset = DS004019(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