New findings on sensorimotor synchronization in cerebellar ataxia! 🎶🧠

Big kudos to Lousin on wrapping up the first part of her postdoc.

Grateful for the chance to contribute as senior author to a collaboration started long ago, but which is still dear to me.

🔗 shorturl.at/BjC4l

6/n - But here’s the key result: only beta modulation was selectively enhanced in the 1P condition! That is, when the participant experienced their partner’s hand as their own.

4/n - What did we find? In visually coupled conditions (1P and 2P), we observed both:

- Neural entrainment (low-frequency convergence across brains)

- Beta modulation (~20 Hz signals tied to perceiving partner movements)

3/n - In our study, we used immersive virtual reality to create a body-swap illusion. Participants saw either their own or their partner’s hand from a 1P or 2P (natural) perspective while tapping rhythmically in pairs.

Another collaborative work between
@musicinthebrain.bsky.social and IPEM (Ghent University) is finally out as a preprint!

We studied how the brain supports joint action using #EEG #hyperscanning + body-swap illusions in #VR.

Check it out 👉 shorturl.at/rMxbg

Details in the thread below 🧵

4/
Provided the network separation, we also tracked cross-frequency coupling (CFC) between networks.
During passive listening to the metronome, the phase of low-freq (2.4 Hz) auditory networks selectively modulates the gamma band amplitude in more distributed medial temporal networks.

3/n
🎧 Auditory stimulation reshapes the entire frequency-resolved network landscape:

• EMERGENCE: Attunement to the 2.4 Hz stimulation

• RE-ARRANGEMENT: Spatial shift of alpha from occipital to sensorimotor, spectral shift to high alpha activity

• INVARIANCE: Beta networks remain unchanged

2/n
🧘‍♂️ During rest, FREQ-NESS reliably separates well-known resting state brain networks — the Default Mode Network, alpha-band parieto-occipital, and motor-beta sensorimotor topographies. Textbook configurations emerge directly from the data and based on frequency, without predefining regions.

1/n 🔍 At the core of FREQ-NESS is Generalized Eigendecomposition (GED) - a powerful linear decomposition technique that allows us to separate overlapping neural processes based on their dominant frequency, by contrasting narrowband vs broadband activity. #Neuroscience #FREQNESS

🚀 Excited to share our new Advanced Science paper!

With @leonardobonetti.bsky.social, we present FREQ-NESS: a novel method to map the brain’s functional organisation as a landscape of frequency-specific networks. 🧠

#Neuroscience #MEG #BrainNetworks #AuditoryProcessing #FREQNESS

Thread below 🧵 👇

Excited to share a chapter I contributed to at IPEM! We explore how #ExtendedReality (XR) transforms musical art & science—reshaping embodied interaction & presence in digital spaces. 🎶✨

From 'research labs' to 'concert halls of the future,' discover how XR redefines music!

#MusicTech #XR #VR #AR

Hello #Bluesky from #Aarhus (DK)!

After a break from socials, I’m gonna start fresh here. I’ve recently joined @musicinthebrain.bsky.social and will soon share updates on my latest research into musical interactions and interpersonal coordination.

Looking forward to connecting with you all!