A really nice work, worth reading from top to bottom 👍
18.12.2025 08:51
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A really nice work, worth reading from top to bottom 👍
I am more than pleased to share our new work with you:
"Intra- and Interhemispheric Signatures of Criticality at the Onset of Synchronization"
biorxiv.org/content/10.6...
Short 🧵 1/9:
Big thanks to the solid team
@ldallap.bsky.social, @pierpasorre.bsky.social, @mnpompili.bsky.social, Pietro Bozzo, Bach Nguyen, Tomoki Fukai, Damien Depannemaecker, Leonardo Gollo
Also, check out our companion preprint led by @ldallap.bsky.social where we test criticality empirically across local and global scales in simultaneous bilateral prefrontal cortex spiking recordings in freely behaving rats www.biorxiv.org/content/10.6...
📄 Preprint: www.biorxiv.org/content/10.6...
💻 Code: github.com/grabuffo/Mul...
Takeaway: criticality in the brain is not simply scale-invariant, but emerges from interactions between local circuits and large-scale network structure. 6/n
We find that long-range connectivity tunes regions toward or away from criticality, and that the best match to empirical static and dynamic functional connectivity occurs when local and global criticality coemerge. 5/n
Directly testing this across scales experimentally is extremely challenging. We address this using a whole-brain connectome-based model that links local neuronal dynamics to global brain organization and is constrained by mouse fMRI data. 4/n
In physics, scale-free behavior often implies scale invariance. In the brain, however, different scales rely on distinct biological structures (cortical columns, connectome,..), so criticality at one level does not automatically imply criticality at another. 3/n
Evidence for scale-free dynamics has been reported at many levels — from spiking neurons to EEG and fMRI. But most experiments probe only one scale at a time, constrained by the recording modality. 2/n
The brain criticality hypothesis proposes that neural activity operates near a tipping point between order and disorder, a regime thought to optimize information processing. 1/n
New preprint out!
How does criticality propagate from local neuronal circuits to whole-brain dynamics?
We tackle this with a multiscale, connectome-based mouse model @ldallap.bsky.social . 🧵/n
👉 biorxiv.org/content/10.6...
With deep gratitude to my extraordinary co-authors @MariannaAngiolelli, @FukaiTomoki, @GustavoDeco, @pierpasorre.bsky.social, and @davemomi.bsky.social
—this work would not have been possible without them.
Supported by the MSCA grant @ec.europa.eu and @upf.edu—more to come!
Key message: variability is not just noise—it reflects structured brain dynamics that can be harnessed for more reliable, state-aware stimulation protocols.
Preprint: doi.org/10.1101/2025...
Code: github.com/grabuffo/Sta...
7/n
Not all networks behave the same. Sensorimotor regions showed stronger state-dependence than higher-order association areas, revealing a hierarchy—especially in SEEG analyses. 6/n
Conditioning stimulation on favorable pre-stimulus states reduced response variability by over 20%. This shows that brain-state monitoring can make interventions more reproducible, offering a concrete step toward refined closed-loop and precision neuromodulation. 5/n
Whole-brain context matters. When predictions are based only on activity close to the stimulation site, accuracy is limited. Expanding to include wider pre-stimulus dynamics across the whole brain consistently improves predictability of outcomes. 4/n
Across 125 candidate metrics, measures of synchronization, connectivity, and spatiotemporal signal diversity consistently predicted responses—sometimes explaining up to 80% of the variability within a session. 3/n
We analyzed a rare dataset: 36 patients, ~320 sessions, and more than >10,000 stimulations, combining intracranial and high-density EEG recordings. We asked: which pre-stimulus features are most reliable in predicting stimulation outcomes? 2/n
🧠⚡️Brain stimulation is powerful, yet its effects are notoriously variable: identical parameters can produce very different outcomes. In our new preprint, we show how the brain’s state before stimulation helps explain and reduce this variability. 🧵1/n
doi.org/10.1101/2025...
Comença la #MSCA CAERUS, finançada per @horizoneu.bsky.social.
Amb supervisió de Gustavo Deco (@cbc-upf.bsky.social), G. Rabuffo @grabuffo.bsky.social millorarà les teràpies d'estimulació cerebral per pacients en coma o d’altres trastorns de la consciència.
➡️ www.upf.edu/web/focus/w/...
#RecercaUPF
Thrilled to finally share a huge piece of my PhD project!
Our paper “The Topological Architecture of Brain Identity” is now out on bioRxiv: biorxiv.org/content/10.1... 🧵 1/n
Rise in higher frequency oscillations in brain of a person in a disorder of consciousness given magic mushrooms 🍄✨
Find the full research “Psilocybin for disorders of consciousness: A case-report study” with the link in my bio ☝️ #psychedelics #neuroscience #researchpaper
🙏 Armelle Lokossou, Zengmin Li, Abolfazl Ziaee-Mehr, Meysam Hashemi, Pascale Quilichini, A. Ghestem, O. Arab, M. Esclapez, Parul Verma, Ashish Raj, @gozziale.bsky.social , @pierpasorre.bsky.social , Kai-Hsiang Chuang, Adriana Perles-Barbacaru, Angèle Viola, Viktor Jirsa, Christophe Bernard 🔥
After a long journey, our paper is officially out in PNAS! 🚀 Huge thanks to the team — excited to finally share it with the world. Check it out: www.pnas.org/doi/10.1073/...
I'll never stop being in awe of the brain. Raster of a single neuron in medial geniculate body responding to auditory tones.