Datasets:

EEGDash
/

ds004977

---
pretty_name: "CARLA: Adjusted common average referencing for cortico-cortical evoked potential data"
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - other
  - epilepsy
  - ccep
size_categories:
  - n<1K
task_categories:
  - other
authors:
  - "Harvey Huang"
  - "Gabriela Ojeda Valencia"
  - "Nicholas M Gregg"
  - "Gamaleldin M Osman"
  - "Morgan N Montoya"
  - "Gregory A Worrell"
  - "Kai J Miller"
  - "Dora Hermes"
---

# 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](https://github.com/eegdash/EEGDash) streams it
on demand and returns a PyTorch / braindecode dataset.

```python
# 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`:

```python
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:

```python
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](https://doi.org/10.18112/openneuro.ds004977.v1.2.0)
- **OpenNeuro:** [ds004977](https://openneuro.org/datasets/ds004977)
- **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/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

---

_Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds004977). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._