metadata
pretty_name: >-
Exploring the electrophysiology of Parkinson's disease -
magnetoencephalography combined with deep brain recordings from the
subthalamic nucleus.
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- motor
- parkinson's
size_categories:
- n<1K
task_categories:
- other
Exploring the electrophysiology of Parkinson's disease - magnetoencephalography combined with deep brain recordings from the subthalamic nucleus.
Dataset ID: ds004998
Rassoulou2024
At a glance: MEG · Motor motor · parkinson's · 20 subjects · 145 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="ds004998", cache_dir="./cache")
print(len(ds), "recordings")
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/ds004998")
Dataset metadata
| Subjects | 20 |
| Recordings | 145 |
| Tasks (count) | 6 |
| Channels | 323 (×122), 326 (×6), 333 (×6), 324 (×6), 347 (×4), 319 (×1) |
| Sampling rate (Hz) | 2000 (×85) |
| Total duration (h) | 10.8 |
| Size on disk | 161.8 GB |
| Recording type | MEG |
| Experimental modality | Motor |
| Paradigm type | Motor |
| Population | Parkinson's |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 1.0 |
Links
- DOI: 10.18112/openneuro.ds004998.v1.2.2
- OpenNeuro: ds004998
- Browse 700+ datasets: EEGDash catalog
- Docs: https://eegdash.org
- Code: https://github.com/eegdash/EEGDash
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.