EEGDash/ds004977

CARLA: Adjusted common average referencing for cortico-cortical evoked potential data

Dataset ID: ds004977

Huang2024

Canonical aliases: CARLA

At a glance: IEEG · Other other · epilepsy · 4 subjects · 6 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds004977", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import CARLA
ds = CARLA(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds004977")

Dataset metadata

Subjects	4
Age range	16–19 yrs, mean 18.0
Recordings	6
Tasks (count)	1
Sessions	1
Channels	273 (×4), 152 (×1), 232 (×1)
Sampling rate (Hz)	4800 (×6)
Total duration (h)	0.9
Size on disk	1.5 GB
Recording type	IEEG
Experimental modality	Other
Paradigm type	Other
Population	Epilepsy
BIDS version	v 1.14.0
Source	openneuro
License	CC0
NEMAR citations	2

Tasks

• ccep

Upstream README

Verbatim from the dataset's authors — the canonical description.

CARLA: Adjusted common average referencing for cortico-cortical evoked potential data

This dataset contains intracranial EEG recordings from four patients during single pulse electrical stimulation as described in:

• H Huang, G Ojeda Valencia, NM Gregg, GM Osman, MN Montoya, GA Worrell, KJ Miller, and D Hermes. (2024). CARLA: Adjusted common average referencing for cortico-cortical evoked potential data. Journal of Neuroscience Methods, 110153. DOI: https://doi.org/10.1016/j.jneumeth.2024.110153. Currently, this dataset contains the raw data needed to generate all results EXCEPT for those pertaining to figures 7 and 8 (unavailable data samples are censored with 0). The complete data are currently being used to answer other scientific questions, and will be released in time with other manuscripts. Please cite this work when using the data. These data were recorded at the Mayo Clinic in Rochester, MN, as part of the NIH Brain Initiative supported project R01 MH122258 "CRCNS: Processing speed in the human connectome across the lifespan". Research reported in this publication was supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH122258, by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number T32GM145408, and by the American Epilepsy Society under award number 937450. The project was also supported by the Mayo Clinic DERIVE Office and the Mayo Clinic Center for Biomedical Discovery. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The data were collected by Harvey Huang, Dora Hermes, Nicholas M. Gregg, Gamaleldin M. Osman, and Cindy Nelson. The BIDS formatting was performed by Harvey Huang, Dora Hermes, Gabriela Ojeda Valencia, and Morgan Montoya. The iEEG data collection was facilitated by Gregory A. Worrell and Kai J. Miller. Data can be analyzed using the Matlab code at:
• https://github.com/hharveygit/CARLA_JNM

Format

Data are formatted according to BIDS version 1.14.0

Single pulse stimulation

The patient were resting in the hospital bed, while single pulse stimulation was performed with a frequency of ~0.2 Hz. The stimulation had a duration of 200 microseconds, was biphasic and had an amplitude of 6mA.

Contact

Please contact Harvey Huang (huang.harvey@mayo.edu) or Dora Hermes (hermes.dora@mayo.edu) for questions.

People

Authors

• Harvey Huang
• Gabriela Ojeda Valencia
• Nicholas M Gregg
• Gamaleldin M Osman
• Morgan N Montoya
• Gregory A Worrell
• Kai J Miller
• Dora Hermes (senior)

Contact

• Harvey Huang

Funding

• R01 MH122258 CRCNS: Processing speed in the human connectome across the lifespan
• T32 GM145408: Medical Scientist Training Program at Mayo Clinic
• 937450: AES Predoctoral Research Fellowship

Links

• DOI: 10.18112/openneuro.ds004977.v1.2.0
• OpenNeuro: ds004977
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

Provenance

• Backend: s3 — s3://openneuro.org/ds004977
• Exact size: 1,604,950,022 bytes (1.5 GB)
• Ingested: 2026-04-06
• Stats computed: 2026-04-04

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Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.