We've been saying for a while now that beta bursts might be functionally heterogeneous. Check out @quentinmoreau.bsky.social's paper where we show that different types of bursts have different relationships to behavior in a sensorimotor adaptation task πππ
3/3 This might explain why the post-movement beta rebound has been so debated: it's not one thing. It's composed of functionally distinct bursts that cancel out when averaged.
Waveform morphology is a window into cortical computation! journals.sagepub.com/doi/full/10....
𧡠2/3 We recorded MEG while people adapted to a visuomotor rotation. Classic beta power & burst rate told part of the story, but sorting bursts by their waveform shape showed that distinct subtypes have opposing relationships with movement error !
π§΅1/3 New paper out! Beta bursts aren't all the same and their waveform shape are functionally meaningful ! @maciekszul.bsky.social & @danclab.bsky.socialπ
www.biorxiv.org/content/10.6...
π£ ESCAN 2026 β Symposium deadline
Good news!
The symposium submission deadline has been extended to January 17.
The poster and single-talk deadline remains February 16.
π escan2026.eu/important-da...
Our group has been looking at beta bursts for the last 5 years, but we do it a little differently than most - we group into types them based on their waveforms. In this open access article we lay out why and what we think this might mean
journals.sagepub.com/doi/10.1177/...
#neuroskyence
Beta band is not an oscillation. It's best seen as a set of diverse events, indexed by waveform shape.
An accessible overview on why beta band activity is best seen as a diverse set of events and not an oscillation, along with cortico-subcortical network responsible for specific waveform shape. @hollyrayson.bsky.social @quentinmoreau.bsky.social Solène Gailhard @danclab.bsky.social
8 snippets showing 5 seconds of intracranial oscillatory brain activity from an electrodes located in the temporal cortex. brain plot showing the location of the electrode + surrounding electrodes.
auditory tau-rhythm with a cool waveform, oscillating at 10 Hz, recorded with intracranial electrodes. π§ γ°οΈπ
New study led by @quentinmoreau.bsky.social & @vchamberland.bsky.social and @ppsp-team.bsky.social π We show how brain stim can shape social inference in humanβmachine interaction π§ π€β‘ New causal evidence linking rTPJ to Theory-of-Mind & SelfβOther distinction, & path towards social #neuromodulation!
7/ Big thanks to our supporting institutions:
@umontreal.ca, @cra-chusj.bsky.social, @mila-quebec.bsky.social, @braincanada.bsky.social, @simonsfoundation.org, @azrielifoundation.bsky.social, @ivado.bsky.social & @cifar.bsky.social π
6/ Grateful to all participants and to the dedicated @ppsp-team.bsky.social.
Special thanks to @introspection.bsky.social for his guidance.
Proud to share first authorship with @quentinmoreau.bsky.social and collaborate with Lisane Moses and Gabriela Milanova.
5/ Results:
β No effect of rTPJ stimulation on motor coordination (Experiment 1 and 2).
β
Repeated HD-tRNS sharpened detection of competitive intent and reduced humanness attribution during competitive interactions (Experiment 1 only).
4/ Two complementary experiments:
Exp1 (n=39): HD-tRNSβ‘ or sham π« randomized blocks
Exp2 (n=40): HD-tRNSβ‘ and sham π« randomized trials
During trials, participants synchronized finger movements with a covert virtual partner, then rated perceived cooperativeness & humanness.
3/ We applied high-definition transcranial random noise stimulation (HD-tRNS) over the right temporoparietal junction (rTPJ) of participants interacting with the virtual partner of the HDC, aiming to probe the rTPJβs causal role in real-time social interaction.
2/ Our work directly builds on Dumas et al. (2020), who combined high-density EEG with the Human Dynamic Clamp (HDC) paradigm to reveal the rTPJ as a key cortical hub for integrating selfβother representations.
1/ TL;DR:
High-definition transcranial random noise stimulation (β‘) over the right temporoparietal junction (π§ ) sharpened detection of competitive intent during interaction with a covert virtual partner (π€)βwithout affecting motor coordination.
π’ Our latest work at @ppsp-team.bsky.social is now available on eNeuro!
Our study explores how noninvasive brain stimulation can shape social inference during humanβmachine interaction π§ β‘π€
π Read it here β www.eneuro.org/content/12/1...
Thread 𧢠‡οΈ
It's been a while since our last laminar MEG paper, but we're back! This time we push beyond deep versus superficial distinctions and go whole hog. Check it out- lots more exciting stuff to come! π§ π
Great thanks to coauthors and collaborators: Ishita Agarwal, Quentin Moreau (@quentinmoreau.bsky.social), Bassem Hiba, Sven Bestmann (@armlabucl.bsky.social), Gareth Barnes, and James Bonaiuto (@danclab.bsky.social). It was a huge amount of work and cluster time, but itβs out now!
Overview of the simulation strategy and analysis. a) Pial and white matter boundaries surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D) respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors). d) The thickness of cortical laminae varies across the cortical depth (70β72), which is evenly sampled by the equidistant source surface layers. e) Each colored line represents the model evidence (relative to the worst model, ΞF) over source layer models, for a signal simulated at a particular layer (the simulated layer is indicated by the line color). The source layer model with the maximal ΞF is indicated by βΛβ. f) Result matrix summarizing ΞF across simulated source locations, with peak relative model evidence marked with βΛβ. g) Error is calculated from the result matrix as the absolute distance in mm or layers from the simulated source (*) to the peak ΞF (Λ). h) Bias is calculated as the relative position of a peak ΞF(Λ) to a simulated source (*) in layers or mm.
π¨π¨π¨PREPRINT ALERTπ¨π¨π¨
Neural dynamics across cortical layers are key to brain computations - but non-invasively, weβve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!
PhD Call π’π’π’
Are you interested in a PhD in Cognitive and Social Neuroscience? Join us! We are booking for highly motivated and inspired future researchers! Waiting for you in Rome!
ποΈ Deadline 19th June
Useful linksππ»ππ»ππ»
phd.uniroma1.it/web/concorso...
phd.uniroma1.it/web/pagina.a...
EEG of the Dancing Brain - new paper out! π§ πΊ
Thrilled to share our latest work on disentangling the neural basis of real-time social dance!!
www.jneurosci.org/content/45/2...
A full @giacomonovembre.bsky.social NPA Lab production π¬
#dance #socialinteraction #hyperscanning #motioncapture
Amazing work, @felixbigand.bsky.social ! And thanks to all our lab collaborators: Sara Abalde, @robertabianco.bsky.social and @trinhnguyen.bsky.social !
You wouldnβt drink from a glass if a fish is IN the glass, or would not grab a chair if one is already sitting ON it.
How do we represent relations between things? And how does it relate to object and action recognition?
New paper out osf.io/preprints/ps...
@mmellon.bsky.social
DANClab is at #NeuroFrance2025 in full force! @quentinmoreau.bsky.social @hollyrayson.bsky.social
Tomorrow at 9h30 I'll give a talk about the cool methods we've developed to analyze beta bursts
Kick off of #Cortico2025 with @dngman.bsky.social who came to Lyon by bike from Basel !! π²
Our latest work at @ppsp_team is now available on @biorxivpreprint.bsky.social
β‘π§ ~π€ We tested whether online non-invasive brain stimulation could modulate real-time human~machine social interactions.
π Read the preprint: www.biorxiv.org/content/10.1...
Thread 𧢠‡οΈ
New in #eNeuro from Pesci, Moreau, Era, and Candidi: How people interact with and process the movements of avatars differs depending on whether avatars look like people. eneuro.org/lookup/DOI/10.1523/ENEURO.0390-24.2025
