Mask-enabled plot_topomap for TFR's and plot_compare_evoked for TFR's

External Email - Use Caution

Hello List,
I am trying to apply spatio-temporal clustering to the averaged TFR values.
I am following the same steps as shown in the example:
https://mne.tools/stable/auto_tutorials/stats-sensor-space/plot_stats_spatio_temporal_cluster_sensors.html,
only difference is i am trying the steps on TFR's instead of evoked.
I faced two difficulties during execution:
1. When we do the plot_topomap for TFR's, there is no "mask" parameter,
because of which I was unable to display the significant sensors only (like
shown in the MNE example). Is there any way to plot only the significant
sensors using plot_topomap when used on TFR's?
2. To plot the power (TFR's) pertaining to different conditions I used
plot_compare-evoked, for which I created a dummy EvokedArray (using
mne.EvokedArray) and placed the power data for each condition. Plot showed
up the values in 1e15 range whereas the actual power values are in 1e-1
range. Is there any way we can plot the power like we plot the evoked using
the single function? Or am I doing something wrong?

It will be of great help, if you can suggest to me the solution.
Thank You

External Email - Use Caution

hi Pooja,

I am trying to apply spatio-temporal clustering to the averaged TFR values.

I am following the same steps as shown in the example:
https://mne.tools/stable/auto_tutorials/stats-sensor-space/plot_stats_spatio_temporal_cluster_sensors.html,
only difference is i am trying the steps on TFR's instead of evoked.
I faced two difficulties during execution:
1. When we do the plot_topomap for TFR's, there is no "mask" parameter,
because of which I was unable to display the significant sensors only (like
shown in the MNE example). Is there any way to plot only the significant
sensors using plot_topomap when used on TFR's?

I am not sure what you expect to see.

2. To plot the power (TFR's) pertaining to different conditions I used
plot_compare-evoked, for which I created a dummy EvokedArray (using
mne.EvokedArray) and placed the power data for each condition. Plot showed
up the values in 1e15 range whereas the actual power values are in 1e-1
range. Is there any way we can plot the power like we plot the evoked using
the single function? Or am I doing something wrong?

mne plot functions use the channel types to scale the data during plotting.

maybe you can write your own plotting function using just matplotlib?

Alex

It will be of great help, if you can suggest to me the solution.
Thank You

--
Thank You
Pooja Prabhu

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