dongqunxi / mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
http://martinos.org/mne/
BSD 3-Clause "New" or "Revised" License
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some figures from 'Compute source power using DICS beamfomer' #2

Open dongqunxi opened 10 years ago

dongqunxi commented 10 years ago

Hi @roman @dengemann, based on the induced power and inter-trial phase-lock for a list of epochs related to 'response channel'

109925_resp

I set some parameters in 'plot_dics_source_power.py'.

dcs_min, dcs_max = -0.02, 0.10 
ncs_min, ncs_max = -0.22, -0.10
f_min, f_max = 5, 20
data_csds = compute_epochs_csd(epochs, mode='multitaper', tmin=dcs_min, tmax=dcs_max,
                               fmin=f_min, fmax=f_max, fsum=False)
noise_csds = compute_epochs_csd(epochs, mode='multitaper', tmin=ncs_min, tmax=ncs_max,
                                fmin=f_min, fmax=f_max, fsum=False)

But the display of the brain view did give some apparent cortical fields, so I changed the scoreatpercentile as following:

fmin, fmax = [scoreatpercentile(stc.data[:, i], ii) for ii in [40, 100]]

But the display still seems abnormal, can you give me some suggestions? Thanks!

109925_respdics_source_power_freq_8_lh