Trust is a precious commodity, but it is essential in science, notably when people from different fields are collaborating. Neuroscientist Leo and mathematician Ramon are trying to understand brain function and long-term memory.

Read the case study: www.maths.ox.ac.uk/node/70955

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

🎶🧠 Join the Aarhus Summer School in Music Neuroscience!
From July 2–18, 2025, we’ll welcome 24 master’s students to dive into cutting-edge research at the intersection of music and the brain. Hosted by @musicinthebrain.bsky.social.

🔗 musicinthebrain.au.dk/summer-schoo...
📢 Spread the word!

8/n - These results offer a window into how our brains support social interaction by integrating the other in one's own sensorimotor schema via frequency-specific dynamics.

Looking forward to presenting this work at #JointActionMeeting2025 in my hometown (Turin, IT)!

7/n - This suggests a functional dissociation:

Neural entrainment tracks a partner’s rhythm more generally

Beta modulation underlies deeper self–other integration, supporting a shared body schema for action

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.

2/n - Previous studies show that adopting a first-person (1P) perspective of your partner, namely seeing from their point of view, improves coordination. But what does this mean for the brain? Can we measure the neural dynamics that support this integration?

1/n - Temporal coordination is crucial to everything from conversation to music-making — yet the brain mechanisms behind it remain surprisingly unclear. One key idea: we synchronize by integrating motor information from the other person into our own sensorimotor framework.

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 🧵

5/
🛠️ FREQ-NESS has been a long time in the making.
If you’re interested in exploring frequency-resolved brain networks in your own data — check out the toolbox and documentation here:
👉 shorturl.at/mOVKF

Feel free to reach out for clarification or collaborations #OpenScience #Toolbox

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 🧵 👇

This is the first application to #psychedelics research of our FREQ-NESS framework for brain network analysis.

The method was co-developed by me and Leonardo Bonetti at @musicinthebrain.bsky.social.

🔧 The FREQ-NESS Toolbox is #open-source on GitHub:
shorturl.at/JT6iO

🧠 New pre-print out!
"LSD reconfigures the frequency-specific network landscape of the human brain"
👇
www.biorxiv.org/content/10.1...

Honored to co-author this with Kenneth Shinozuka (1st author), @leonardobonetti.bsky.social, and our colleagues from @ox.ac.uk and @imperialcollegeldn.bsky.social

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

Do you like listening to and moving to music?
Help us out with our research on musical interactions onsite in Aarhus, Denmark!
sites.google.com/view/musical...

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!

For all the newcomers, here is a starter pack of people to follow on #musicscience, music cognition and related topics.

just comment below if you want to be added!

go.bsky.app/4oZbDpj

#musicskyence

Hi David! New here :)

I would love to be added to the list.
Thanks in advance.