Time frequency plots

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Dear MNE-team,

I'm working on time-frequency analysis and have two questions. First, in many papers focusing on lower frequency ranges (e.g. theta) the time frequency plots are scaled so that more focus is giving to this lower ranges. Is this possible to do in MNE as well? Perhaps with certain power transformations?

Second, in the tutorial on cluster statistics on the website (https://mne.tools/stable/auto_tutorials/stats-sensor-space/plot_stats_cluster_1samp_test_time_frequency.html#sphx-glr-auto-tutorials-stats-sensor-space-plot-stats-cluster-1samp-test-time-frequency-py) two different color schemes are used to distinguish significant from not significant data points. Instead, would it be possible to depict them in the same color scheme but surround significant clusters with a line/border?

Thank you very much for your help,


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hi Sebastian,

regarding scaling it's a baseline correction for time-frequency data.
They are various options.

to do what you are asking for the plots it's basically a matplotlib
question. It's not specific to MNE (eg replace imshow by contour).