Created
July 19, 2024 20:19
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| import mne | |
| data_path = mne.datasets.sample.data_path() | |
| sample_data_raw_file = data_path / "MEG" / "sample" / "sample_audvis_raw.fif" | |
| subjects_dir = data_path / "subjects" | |
| raw = mne.io.read_raw_fif(sample_data_raw_file, verbose=False).crop(tmax=60) | |
| events = mne.find_events(raw, stim_channel="STI 014") | |
| epochs = mne.Epochs(raw, events, event_id = {"auditory/left": 1}, tmin=-0.3, tmax=0.7)[:10] | |
| inverse_operator_file = data_path / "MEG" / "sample" / "sample_audvis-meg-oct-6-meg-inv.fif" | |
| inv_operator = mne.minimum_norm.read_inverse_operator(inverse_operator_file) | |
| stcs = mne.minimum_norm.apply_inverse_epochs(epochs, inv_operator, lambda2=1/3, pick_ori=None) | |
| stc_avg_abs = sum(abs(stc) for stc in stcs) / len(stcs) | |
| stc_abs_avg = abs(sum(stc for stc in stcs) / len(stcs)) | |
| kwargs = dict(initial_time=0.09, subjects_dir=subjects_dir, clim=dict(kind="value", lims=[1, 2, 4])) | |
| stc_avg_abs.plot(**kwargs, title="Mean of absolute values") | |
| stc_abs_avg.plot(**kwargs, title="Absolute value of the mean") |
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