Very glad to have our research featured on the FIFA Training Centre website! We explored how psychological profiles can help identify elite football talent.

🧠 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!

We 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-...

Honored 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) 🧠

How 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....

@oxfordmathematics.bsky.social‬ @leonardobonetti.bsky.social‬ @musicinthebrain.bsky.social‬ @ox.ac.uk‬ ‪@au.dk‬

The 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.

🎶 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

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.

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...

🔊 NEW RESEARCH: Why do some memories last a lifetime while others fade away? A groundbreaking new study sheds light on this mystery by uncovering hidden patterns of brain activity that support long-term memory 👇 tinyurl.com/2hhjv7rj @leonardobonetti.bsky.social

🚨 New paper out in PNAS! 🚨 We introduce a method to pinpoint which neural interactions are far from equilibrium by mapping time-irreversible dynamics onto directed multilayer graphs.

⚽️Dygtige fodboldspillere er ikke bare fysisk overlegne, men overgår gennemsnittet på en lang række parametre. F.eks. kognitiv fleksibilitet, evne til planlægning og arbejdshukommelse. Ny #dkforsk 👉 bit.ly/41lN4KY @leonardobonetti.bsky.social @au.dk @musicinthebrain.bsky.social

Just had the chance to discuss music, aging, and the brain on RAI 3 and RAI TG Leonardo. Grateful for the opportunity—stay tuned! 🎵🧠 #MusicAndTheBrain #RAI3 #RAITGLeonardo www.rainews.it/tgr/piemonte...

Excited to share my latest interview with TV2, realised by Lene Ravn, where we explore the deep connections between music, neuroscience, aging, and dementia 🎶🧠

🚨 New Research Alert! 🚨 What sets elite soccer players apart? 🌟⚽️ Our study dives into the psychology of 204 top players from Brazil & Sweden using AI-powered analysis.