[Mne_analysis] Time-frequency analysis, questions

[Alexandre Gramfort]

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Dear Kirill,

looking at your plots you have clear edge artifacts. The function you use
to do not try to correct for them automatically. You should crop your outputs
in time and baseline afterwards.

For pow I tend to baseline with a ratio between power during stim
with power during baseline.

Now to be honest this code is fairly old in MNE so maybe someone
can suggest you a simpler route.

I like this example if you are especially interested in power:

https://mne.tools/stable/auto_examples/inverse/plot_evoked_ers_source_power.html?highlight=power

HTH
Alex


> I need to do a time-frequency analysis and I am following this tutorial https://mne.tools/dev/auto_examples/time_frequency/plot_source_label_time_frequency.html#sphx-glr-auto-examples-time-frequency-plot-source-label-time-frequency-py as I am interested in obtaining this sort of maps in certain labels. However, the maps I am getting are definetely not normalized compared to the examples (see my examples attached - lower than 10Hz).
> 1. What might be the reason for this?Is there something special I need to do when computing inverse solution compared to typical evoked response analysis? (I include only noise covariance there)
> 2. What is the recommend parameter here for baseline_mode (percent, logration mean - is there any suggestion on what to use and when?)
> 3. In this tutorial and command source_induced_power, what is the method used? Is it Morlet / Multitaper or something else? I found no information on this in contrast to e.g. tfr_morlet commands used elsewhere?
>
> Thank you in advance.
> Sincerely yours,
> Kirill Elin, PhD
>
>
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