DS006466#

HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data

Access recordings and metadata through EEGDash.

Citation: Andy Jeesu Kim, Santiago Morales, Joshua Senior, Mara Mather (2025). HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data. 10.18112/openneuro.ds006466.v1.0.1

Modality: eeg Subjects: 66 Recordings: 5049 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS006466

dataset = DS006466(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS006466(cache_dir="./data", subject="01")

Advanced query

dataset = DS006466(
    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{ds006466,
  title = {HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data},
  author = {Andy Jeesu Kim and Santiago Morales and Joshua Senior and Mara Mather},
  doi = {10.18112/openneuro.ds006466.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds006466.v1.0.1},
}

About This Dataset#

Older Adult Resting State and Auditory Oddball Task EEG Data

What is included

  • This dataset includes resting state and auditory oddball task EEG data for two conditions: control and arousal (under threat of unpredictable shock).

View full README

Older Adult Resting State and Auditory Oddball Task EEG Data

What is included

  • This dataset includes resting state and auditory oddball task EEG data for two conditions: control and arousal (under threat of unpredictable shock).

Event labels

100 - 5 minutes eyes open resting, control condition, begin 101 - 5 minutes eyes open resting, control condition, end 102 - 5 minutes eyes closed resting, control condition, begin 103 - 5 minutes eyes closed resting, control condition, end

104 - passive auditory oddball task, control condition, run begin 105 - passive auditory oddball task, control condition, trial start 106 - passive auditory oddball task, control condition, standard tone 107 - passive auditory oddball task, control condition, target tone 108 - passive auditory oddball task, control condition, distractor tone 109 - passive auditory oddball task, control condition, trial end 110 - passive auditory oddball task, control condition, run end

111 - active auditory oddball task, control condition, run begin 112 - active auditory oddball task, control condition, trial start 113 - active auditory oddball task, control condition, standard tone 114 - active auditory oddball task, control condition, target tone 115 - active auditory oddball task, control condition, distractor tone 116 - active auditory oddball task, control condition, start of response period 117 - active auditory oddball task, control condition, manual button response recorded 118 - active auditory oddball task, control condition, run end

119 - 5 minutes eyes open resting, shock condition, begin 120 - 5 minutes eyes open resting, shock condition, end 121 - 5 minutes eyes closed resting, shock condition, begin 122 - 5 minutes eyes closed resting, shock condition, end

123 - passive auditory oddball task, shock condition, run begin 124 - passive auditory oddball task, shock condition, trial start 125 - passive auditory oddball task, shock condition, standard tone 126 - passive auditory oddball task, shock condition, target tone 127 - passive auditory oddball task, shock condition, distractor tone 128 - passive auditory oddball task, shock condition, trial end 129 - passive auditory oddball task, shock condition, run end

130 - active auditory oddball task, shock condition, run begin 131 - active auditory oddball task, shock condition, trial start 132 - active auditory oddball task, shock condition, standard tone 133 - active auditory oddball task, shock condition, target tone 134 - active auditory oddball task, shock condition, distractor tone 135 - active auditory oddball task, shock condition, start of response period 136 - active auditory oddball task, shock condition, manual button response recorded 137 - active auditory oddball task, shock condition, run end

Citations

Nashiro, K., Yoo, H. J., Cho, C., Kim, A. J., Nasseri, P., Min, J., … & Mather, M. (2024). Heart rate and breathing effects on attention and memory (HeartBEAM): Study protocol for a randomized controlled trial in older adults. Trials, 25(1), 190.

Kim, A. J., Morales, S., Senior, J., & Mather, M. (2025). Electroencephalography, pupillometry, and behavioral evidence for locus coeruleus-noradrenaline system related tonic hyperactivity in older adults. Preprint: doi.org/10.1101/2025.10.02.680040

Dataset Information#

Dataset ID

DS006466

Title

HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data

Year

2025

Authors

Andy Jeesu Kim, Santiago Morales, Joshua Senior, Mara Mather

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds006466.v1.0.1

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds006466,
  title = {HeartBEAM: Older Adult Resting State and Auditory Oddball Task EEG Data},
  author = {Andy Jeesu Kim and Santiago Morales and Joshua Senior and Mara Mather},
  doi = {10.18112/openneuro.ds006466.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds006466.v1.0.1},
}

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: 66

  • Recordings: 5049

  • Tasks: 6

Channels & sampling rate

  • Channels: 65

  • Sampling rate (Hz): 1000.0

  • Duration (hours): 0.0

Tags

  • Pathology: Healthy

  • Modality: Auditory

  • Type: Attention

Files & format

  • Size on disk: 117.5 GB

  • File count: 5049

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds006466.v1.0.1

Provenance

API Reference#

Use the DS006466 class to access this dataset programmatically.

class eegdash.dataset.DS006466(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds006466. Modality: eeg; Experiment type: Attention; Subject type: Healthy. Subjects: 66; recordings: 1257; tasks: 6.

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/ds006466 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds006466

Examples

>>> from eegdash.dataset import DS006466
>>> dataset = DS006466(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#