🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Next generation Dynamic Network Modes; Using deep learning to go beyond the HMM... I hope everyone is ready for this! Massive congrats to @ChetanG83095127 , Evan Roberts, @blobsonthebrain Mark Woolrich and co-authors. @OxfordWIN Oxford Psychiatry biorxiv.org/content/10.110…

We are very happy to present our symposium on “Functional connectivity dynamics: new approaches and applications” at #OHBM2024 tomorrow (Tuesday) at 4 pm in the Grand Ballroom 101-102. Let me already introduce the speakers:

Chetan Gohil will show how unsupervised methods enable us to capture fast phase locking networks in MEG

Jeroen Van Schependom Diego Vidaurre Juan (Helen) Zhou Our session on "Functional Connectivity Dynamics: New Approaches and Applications" was a great success! Thx everyone for attending!

Exciting times ahead!

How can we further the study of oscillatory responses in task ephys data? Adopt a dynamic network approach! Check out our paper illustrating the advantages of a dynamic network analysis compared to conventional time-frequency approaches: direct.mit.edu/imag/article/d…

🧠 Interested in brain resting-state networks (RSNs)? Check out our latest paper demonstrating that MEG and EEG offer comparable static and dynamic descriptions of RSNs: doi.org/10.1002/hbm.70… w/ my amazing mentors Mats van Es , Mark Woolrich , and Chetan Gohil !

Data analysis is hard. We tried to make it easier (for M/EEG)! We developed a toolbox based on MNE-Python to make preprocessing, source recon, and other analysis easier, and more efficient, transparent, and reproducible. It's called osl-ephys - check it out! (links below)