Python mne.viz() Examples

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Example #1
Source File: beamformers_electrodes_tweak.py    From mmvt with GNU General Public License v3.0 6 votes vote down vote up 
def plot_td_dics(events_id, bipolar, tmin_plot, tmax_plot, freq_bins):
    from mne.viz import plot_source_spectrogram
    from mne.source_estimate import _make_stc

    # Plotting source spectrogram for source with maximum activity
    # Note that tmin and tmax are set to display a time range that is smaller than
    # the one for which beamforming estimates were calculated. This ensures that
    # all time bins shown are a result of smoothing across an identical number of
    # time windows.
    region = 'bipolar_electrodes' if bipolar else 'regular_electrodes'
    data_fol = os.path.join(SUBJECT_MEG_FOL, 'subcorticals', 'dics', 'all_{}'.format(region))
    stcs = []
    for event in events_id.keys():
        stcs.append(tf.load_stcs(event, freq_bins, data_fol, MRI_SUBJECT))
        # plot_source_spectrogram(stcs[-1], freq_bins, tmin=tmin_plot, tmax=tmax_plot,
        #                     source_index=None, colorbar=True)
    stcs_diff = []
    for stc1, stc2 in zip(stcs[0], stcs[1]):
        stc_diff = _make_stc(stc1.data - stc2.data, vertices=stc1.vertices,
                            tmin=stc1.tmin, tstep=stc1.tstep, subject=stc1.subject)
        stcs_diff.append(stc_diff)
    plot_source_spectrogram(stcs_diff, freq_bins, tmin=tmin_plot, tmax=tmax_plot,
                        source_index=None, colorbar=True)