Datasets:

ds004837 / README.md
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Metadata stub for ds004837
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metadata
pretty_name: >-
  Magnetoencephalographic (MEG) Pitch and Duration Mismatch Negativity (MMN) in
  First-Episode Psychosis
license: cc0-1.0
tags:
  - meg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - auditory
  - perception
  - schizophrenia-psychosis
size_categories:
  - n<1K
task_categories:
  - other

Magnetoencephalographic (MEG) Pitch and Duration Mismatch Negativity (MMN) in First-Episode Psychosis

Dataset ID: ds004837

LopezCaballero2023

At a glance: MEG · Auditory perception · schizophrenia/psychosis · 60 subjects · 106 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="ds004837", 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/ds004837")

Dataset metadata

Subjects 60
Recordings 106
Tasks (count) 1
Sampling rate (Hz) 3000 (×98), 1000 (×8)
Size on disk 119.9 GB
Recording type MEG
Experimental modality Auditory
Paradigm type Perception
Population Schizophrenia/Psychosis
Source openneuro
License CC0
NEMAR citations 0.0

Links


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.