OMEGA Resting State Sample Data

Demonstrated features

Feature	This example
MEG processing	✅
EEG processing	❌
Maxwell filter	❌
Frequency filter	✅
Artifact regression	❌
SSP	✅
ICA	❌
Evoked contrasts	❌
Time-by-time decoding	❌
Time-generalization decoding	❌
CSP decoding	❌
Time-frequency analysis	✅
BEM surface creation	❌
Template MRI	❌

Dataset source

This dataset was acquired from https://openneuro.org/datasets/ds000247

How to download this dataset

Run in your terminal:

Run in your terminal

openneuro-py download \
             --dataset=ds000247 \
             --include=sub-0002/ses-01/meg

Configuration

Click to expand

Python

.
import numpy as np

study_name = "ds000247"
bids_root = f"~/mne_data/{study_name}"
deriv_root = f"~/mne_data/derivatives/mne-bids-pipeline/{study_name}"

subjects = ["0002"]
sessions = ["01"]
task = "rest"
task_is_rest = True

crop_runs = (0, 100)  # to speed up computations

ch_types = ["meg"]
spatial_filter = "ssp"

l_freq = 1.0
h_freq = 40.0

rest_epochs_duration = 10
rest_epochs_overlap = 0

epochs_tmin = 0
baseline = None

time_frequency_conditions = ["rest"]
time_frequency_freq_min = 1.0
time_frequency_freq_max = 30.0
time_frequency_cycles = np.arange(time_frequency_freq_min, time_frequency_freq_max) / 4
time_frequency_subtract_evoked = True