A huge thank you to all co-authors Franziska Pellegrini, Tin Jurhar, Tien D. Nguyen, Richard M. Köhler, and @sparsity.bsky.social, with special thanks to Toni M. Brotons and @timonmerk.bsky.social!

The PyBispectra toolbox provides robust implementations for all of these analyses and more, with detailed tutorials showing you how to apply these methods to your data!
🧑‍🏫 Tutorials: pybispectra.readthedocs.io/en/latest/examples.html

😕 Unfortunately, traditional methods for these analyses have serious limitations impacting their robustness and utility.

💡 However, recent work has shown the bispectrum, a frequency resolved measure of intra- and inter-signal properties, to overcome many of these limitations.

🔬 In it, we touch on how analysing phase-amplitude coupling, non-sinusoidal waveshape, and communication latencies can benefit our understanding of electrophysiology data.

See also my recent Nature Communications paper (doi.org/10.1038/s41467-025-58825-z) 😉

Huge thanks to all coauthors and my supervisors @julianneumann.bsky.social of the ICN Lab and @sparsity.bsky.social of @qailabs.bsky.social!

This has also been a wonderful opportunity to contribute some great data analysis tools to open source software, adding new features to MNE (mne.tools/dev/) and MNE-Connectivity (mne.tools/mne-connectivity/dev/), and writing my own package PyBispectra (pybispectra.readthedocs.io/en/main/)!

Using multisite invasive recordings and advanced multivariate analysis methods, it offers new insights into the mechanisms of neurostimulation which will be important to consider for the development of next-generation closed-loop therapies.

Read the preprint here: www.biorxiv.org/content/10.1...

Using multisite invasive recordings and advanced multivariate analysis methods, it offers new insights into the mechanisms of neurostimulation which will be important to consider for the development of next-generation closed-loop therapies.

Read the preprint here: www.biorxiv.org/content/10.1...