Glad to announce that our paper investigating the effect of action-outcome uncertainty on pain modulation is now out in @painthejournal.bsky.social 🧠💻! Super briefly: Learned certainty in what action lead to pain relief exagerates perception of pain relief. journals.lww.com/pain/fulltex...

It’s out! 📝🧠🎧 Our manuscript investigating auditory processing of Parkinson’s disease is online! Its results suggest a pathological effect of Parkinson’s disease on brain auditory processing which, in turn, is modulated by deep brain stimulation. Check it out: doi.org/10.1142/S012....

Out now as a preprint! We investigated the effect of outcome-uncertainty on learning and endogenous pain modulation in a probabilistic gambling task. Results show that pain inhibition from winning pain relief increases as a function of certainty in what action lead to the relief of pain.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 9mo ago

Reward-induced endogenous pain inhibition scales with action-outcome certainty in humans https://www.biorxiv.org/content/10.1101/2025.10.31.685818v1

Reward-induced endogenous pain inhibition scales with action-outcome certainty in humans https://www.biorxiv.org/content/10.1101/2025.10.31.685818v1

New paper out in npj Digital Medicine! Fayed Rassoulou demonstrates how electrophysiology + machine learning can help identify the optimal contact for deep brain stimulation. rdcu.be/eNgG1

Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts

npj Digital Medicine - Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts

rdcu.be

Hurrah! New paper out doi.org/10.1093/brai...! We show that sensorimotor network dynamics are altered in Parkinson’s disease and highlight the importance of looking at motor cortical activity within the broader brain network context to better understand pathophysiological changes underlying PD.

Changes in sensorimotor network dynamics in resting-state recordings in Parkinson’s disease

Kohl et al. report that sensorimotor network dynamics extracted from magnetoencephalogram recordings can distinguish patients with Parkinson’s disease from

doi.org

Really glad that my first paper is now out in @painthejournal.bsky.social 😁🧠!

PAIN@painthejournal.bsky.social · last yr.

Hubschmid et al. find that monetary rewards increase sensory signal strength leading to enhanced pain discrimination. Mechanistically, this process seems to be driven by learning from positive prediction errors. Learn more in #PAIN bit.ly/4lWzNjb

Just arrived at @meguki2025.bsky.social excited to present results on head movement reduction in people with Parkinson‘s using individual head casts. Additionally we can replicate prior findings on laminar source reconstruction! If you want to find out more, do not hesitate to find me at poster 45!

I’m sure you’ve always wondered how reliable Granger causality of source reconstructed MEG really is. Better yet, you surely wonder how to improve it. You’re in luck, I’ve just arrived at @meguki2025.bsky.social to discuss it. All jokes aside, meet me at poster 38 if you’re interested. 👋🏼🧠