@leonardobonetti.bsky.social
Associate Professor Center for Music in the Brain, Aarhus University Centre for Eudaimonia and Human Flourishing, University of Oxford
@musicinthebrain.bsky.social @au.dk @ox.ac.uk
22.07.2025 11:07 — 👍 0 🔁 0 💬 0 📌 0Read it here: www.biorxiv.org/content/10.1...
#Neuroscience #PredictiveCoding #Multisensory #MEG #Preprint #OpenScience
🧠 New preprint!
How does the brain predict complex patterns in sound vs. vision?
Using MEG & matched auditory/visual sequences, we reveal distinct and shared brain networks for recognising temporally structured stimuli.
Congratulations 🙌 Leonardo!
28.06.2025 18:04 — 👍 2 🔁 1 💬 0 📌 0We are very proud of our Associate Professor Leonardo Bonetti @leonardobonetti.bsky.social who just received a Sapere Aude grant :-) Congrats! @dg.dk @au.dk
dff.dk/hvad-har-vi-...
@au.dk @musicinthebrain.bsky.social @ox.ac.uk @oxfordpsychiatry.bsky.social
28.06.2025 17:43 — 👍 0 🔁 0 💬 0 📌 0Honored to receive the Sapere Aude: DFF Research Leader grant (~830.000EUR) 🙏
The project will explore how the brain supports memory and sequence prediction using multi-scale neurophysiology and advanced analytics like our Network Estimation via Source Separation (NESS) 🧠
@au.dk @musicinthebrain.bsky.social @ox.ac.uk @oxfordpsychiatry.bsky.social
28.06.2025 17:30 — 👍 0 🔁 0 💬 0 📌 0@musicinthebrain.bsky.social @au.dk @lundbeckfonden.bsky.social @carlsbergfondet.dk @dg.dk @ox.ac.uk @oxfordpsychiatry.bsky.social
22.06.2025 10:16 — 👍 2 🔁 0 💬 0 📌 0How does aging affect how we remember and compare sounds? Our new study reveals key EEG markers linked to auditory short-term memory and dissimilarity perception across age groups. Read in Eur J Neurosci: doi.org/10.1111/ejn....
22.06.2025 10:16 — 👍 6 🔁 2 💬 1 📌 0@oxfordmathematics.bsky.social
@leonardobonetti.bsky.social
@musicinthebrain.bsky.social
@ox.ac.uk
@au.dk
A big thank you to Dr. Mattia Rosso @mattiarosso.bsky.social, who first-authored the paper!
29.05.2025 12:44 — 👍 1 🔁 0 💬 0 📌 0The study was published in Advanced Science and was led by Senior Research Fellow Dr Leonardo Bonetti @leonardobonetti.bsky.social from the Department of Psychiatry, Oxford, in collaboration with Aarhus University @au.dk
It's available here 👉 tinyurl.com/yc2huprn
MIB Associate Professor @leonardobonetti.bsky.social in a conversation with DPhil candidate Ramón Nartallo-Kaluarachchi from Oxford University.
26.05.2025 12:09 — 👍 3 🔁 1 💬 0 📌 0@musicinthebrain.bsky.social @lundbeckfonden.bsky.social @au.dk @ox.ac.uk @dg.dk @oxfordpsychiatry.bsky.social
23.05.2025 09:57 — 👍 0 🔁 0 💬 0 📌 0🎶 New paper on how working and long-term auditory memory interact—and how aging and musical training shape this relationship 🚫🎻🧠
onlinelibrary.wiley.com/doi/10.1111/...
#NeuroScience #Cognition #Memory #AuditoryPrediction #MusicPerception
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
Thanks to my collaborators @clararastelli.bsky.social, @leonardobonetti.bsky.social, C. Braun and A. Caria
for all the details check out the preprint! 👇
www.biorxiv.org/content/10.1...
Honoured to receive the BCC Award for Arts & Culture 2025!
Grateful to ShruthiUK and the Birmingham Thyagaraja Festival for this recognition.
Special thanks to Chithra Ramakrishnan for presenting this award.
#BCCAwards #ArtsAndCulture #BirminghamThyagarajaFestival
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
23.04.2025 10:00 — 👍 1 🔁 1 💬 0 📌 02/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.
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
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.
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
🚀 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 🧵 👇
🧠 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
🚨 NEW PAPER ALERT!
After such a long journey, I am so glad to see this published in
@PNASNews:
pnas.org/doi/10.1073/...
Big thanks to @leonardobonetti.bsky.social, Gemma Fernandez-Rubio, Peter Vuust, Gustavo Deco, Morten Kringelbach, Renaud Lambiotte and @alaingoriely.bsky.social
A thread...