Datasets:

EEGDash
/

ds004626

pretty_name: >-
  Can we dissociate hypervigilance to social threats from altered perceptual
  decision-making processes in lonely individuals? An exploration with Drift
  Diffusion Modelling and event-related potentials.
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - n<1K
task_categories:
  - other

Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.

Dataset ID: ds004626

Maka2023

At a glance: EEG · 52 subjects · 52 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="ds004626", 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/ds004626")

Dataset metadata


Subjects	52
Recordings	52
Tasks (count)	1
Channels	68 (×52)
Sampling rate (Hz)	1000 (×52)
Total duration (h)	21.4
Size on disk	19.9 GB
Recording type	EEG
Source	openneuro
License	CC0
NEMAR citations	1.0

Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.

Load this dataset

Dataset metadata

Links