New paper in Nature Biomedical Engineering by @timonmerk.bsky.social !

We built a platform that unites AI-based brain signal decoding with connectomics across 123 hours of recordings from 73 patients. A step toward adaptive, network-level neurotechnology.

www.nature.com/articles/s41...

Happy to announce that our paper on the PyBispectra toolbox for robust analyses of cross-frequency coupling, waveshape, and communication latencies is available now in the Journal of Open Source Software!
📖 Paper: doi.org/10.21105/joss.08504
💻 Toolbox: pybispectra.readthedocs.io

🚨 New preprint out! 🚨
“Translating the Transcriptome: A Connectomics Approach for Gene-Network Mapping and Clinical Application”
🔗 doi.org/10.1101/2025... 

🧵 A short thread:

Very useful software not only for neuroscientists provided by @tsbinns.com . Bispectral analyses allow robust determination of transmission delays, phase-amplitude coupling and quantification of non-sinusoidality of oscillations. See also our methods preprints:

lnkd.in/gSsrqYpX
lnkd.in/gCaXDggK

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) 😉

Happy to announce that our paper on the PyBispectra toolbox for robust analyses of cross-frequency coupling, waveshape, and communication latencies is available now in the Journal of Open Source Software!
📖 Paper: doi.org/10.21105/joss.08504
💻 Toolbox: pybispectra.readthedocs.io

Ever used open-source (neuroscience MEG/EEG) software? Please take a moment to check out this report from within.

This paper is very close to my heart, because we are moving towards a crisis … 🧵

bsky.app/profile/imag...

Probably the most insightful and most important paper on physiomarkers of subthalamic DBS in a long while. Bravo @julianneumann.bsky.social @tsbinns.com and team!!

Out at @natcomms.nature.com:
www.nature.com/articles/s41...

Very helpful to see this comprehensive view of what dopamine and DBS are doing in the cortico-basal ganglia loops!

Understanding mechanisms of neuromodulation is a key to advancing Neurotechnology for the treatment of brain disorders!

Really thought-provoking talk by @julianneumann.bsky.social going over many things, including STN DBS but not Sinemet decreases cortical beta, and a super interesting theory about closed-loop timing of stimulation to beta phase

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...

Excited to have my PhD project paper exploring the network mechanisms of neuromodulation accepted for publication!

We show how deep brain stimulation and medication exert a shared modulation of motor network synchrony in Parkinson's disease.

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...