Implementation of the meanlogratio for TFR

[virvw]

A recent paper advocated an alternative baselining in time-frequency analysis.

Kinley, I., Roberts, R. P., Meltzer, J. A., & Addis, D. R. (2026). Spectral change or Jensen gap? Log-ratio baseline correction for time-frequency M/EEG is negatively biased. Journal of Neuroscience Methods, 110826.

Now, whenever baselining a TFR is needed, an additional option for the mode or baseline_mode is "meanlogratio" effectively computing

baseline = (baseline_tmin, baseline_tmax)
tfr = tfr.apply_baseline(baseline, mode="logratio")
tfr = tfr.apply_baseline(baseline, mode="mean")

This was verified and replicated against the original paper on simulated and MNE sample data.

KinleyEtAl2026_main-analysis_mne-ized_v1.py

• Implement the computations
• Updated the docstring
• Modify the tutorial to reflect this new option
• Add unit test for all baseline options
• Add a line to what's new page

[welcome]

Hello! 👋 Thanks for opening your first pull request here! ❤️ We will try to get back to you soon. 🚴

[larsoner]

Looks good other than pedantic stuff that the docstring renderers will be unhappy about. Will commit and hopefully they come back green! Thanks in advance @virvw !

Also needs a changelog update but I'll push that quickly

[larsoner]

... ahh I should have read more closely, this is draft and you're still adding stuff. Sorry about that! Feel free to git pull my changes or just force-push over them as needed

[larsoner]

Okay for some reason it won't let me push to your branch despite you having ticked the "allow maintainers to make edits" box, and it's difficult to iterate in the GitHub file editor. Let me know if you want me to open a quick PR to fix the autofix.ci and pytest mne/tests/test_docstring_parameters.py failures. Otherwise feel free to look and fix!

[virvw]

Just added text in "20_sensors_time_frequency"
explaining baseline correction for TFR, a paragraph for each baseline mode and a couple indicative references

[larsoner]

Marking for merge-when-green, thanks in advance @virvw !

[welcome]

🎉 Congrats on merging your first pull request! 🥳 Looking forward to seeing more from you in the future! 💪

[wmvanvliet]

Thanks, @virvw!