MNE Sample Data: ICA¶
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/ds000248
How to download this dataset
Run in your terminal:
Run in your terminal
openneuro-py download \
--dataset=ds000248 \
--include=sub-01 \
--include=sub-emptyroom \
--include=derivatives/freesurfer/subjects \
--exclude=derivatives/freesurfer/subjects/fsaverage/mri/aparc.a2005s+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/fsaverage/mri/aparc+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/fsaverage/mri/aparc.a2009s+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/fsaverage/xhemi/mri/aparc+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/sub-01/mri/aparc+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/sub-01/mri/aparc.DKTatlas+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/sub-01/mri/aparc.DKTatlas+aseg.mgz \
--exclude=derivatives/freesurfer/subjects/sub-01/mri/aparc.a2009s+aseg.mgz
Note that we have to explicitly exclude files due to a problem with OpenNeuro's storage.
Configuration¶
Click to expand
Python
.
bids_root = "~/mne_data/ds000248"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000248_ica"
ch_types = ["meg"]
data_type = "meg"
subjects = ["01"]
task = "audiovisual"
l_freq = 0.3
h_freq = 40.0
conditions = ["Auditory/Left", "Auditory/Right", "Visual/Left", "Visual/Right"]
epochs_tmin = -0.2
epochs_tmax = 0.5
baseline = (None, 0)
ica_reject = dict(mag=3000e-15, grad=3000e-13)
spatial_filter = "ica"
ica_algorithm = "extended_infomax"
ica_l_freq = 1.0
ica_n_components = 0.8
ica_max_iterations = 500
interactive = False