Matteo Neri

1/ New preprint! Neuroscience uses advanced methods to study brain regions/neurons/genes (order 1), couples of them (order 2), triplets (order 3), etc. But haven't we lacked a clear conceptual map to organize these diverse methods and integrate findings? techrxiv.org/doi/full/10.22…

2/ Brain models often focus on pairs of regions, but real interactions might involve groups acting together HOI methods aim to capture this, from detecting synergy and redundancy using different information-theoretic approaches to mapping topological cycles in brain networks.

4/ First big insight: HOI metrics fall into 3 categories: 🔴 Redundant: capture overlapping info (e.g., within sensory networks) 🔵 Synergistic: capture integrative info (e.g., across systems) 🟣 Topological: bridge the two, identifying mesoscale structures

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This is Elon Musk's vision of the future. How many jobs do we lose when this transformation takes place? Do we really want to interact with robots instead of people? What do you think?

If you're here today at CNS*2025 🧠, we're at the workshop! Come say hi to our amazing speaers @lordgrilo @simonepoetto @BrovelliAndrea Demian Battaglia @FunSyCNRS @PatricioOrio Jesús Cortes .... OC: @jlizier

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/10.110… 🧵 1/n

🚨 Two new papers from us @NPLab_ offer a deep dive into the topological and higher-order structure of brain function. Together, they chart a unified view of how the brain encodes identity and computation beyond pairwise interactions.

Our preprint is out and I couldn’t be more excited! 🔥 Huge thanks to such an incredible team 🙌🏻 @andreasantor0 @matte_blacks, @simonepoetto , @DavideOrsenigo , Matteo Diano, @lordgrilo @NPLab_ 👇👇👇

Huge effort from all authors. What a great work linking information decomposion and topological analysis approaches to fMRI!

🧠 Want to understand how different higher-order methods compare in brain connectivity analysis? Check out our new preprint — a fantastic collab with past & present @NPLab_ members: 🔗 biorxiv.org/content/10.110…

🧵 1/ Over the past years, brain connectivity research has moved beyond simple pairwise interactions. A wide range of higher-order interaction (HOI) methods — from information theory to topological data analysis — have emerged. But the field is quite fragmented. Let's dive in🧠

3/ Yet with all these new tools — PhiID, O-information, PED, persistent homology, triangles, scaffolds — no one knew how they compared, what they captured, or when to use which. This paper tackles this directly with a comprehensive comparison across 10 HOI metrics.

5/ Despite different math, rank differences of all HOI metrics align with the brain's core hierarchy: from sensory (unimodal) to associative (transmodal) cortex. This “HOI axis” reflects fundamental computational principles embedded in the brain’s layout. 🧭

6/ But there’s more. These metrics also reflect the brain’s neurochemistry: •Redundant metrics correlate with metabolic maps •Synergistic & topological metrics align with receptor distributions

7/ When it comes to applications, HOIs show their power: 🎯 For brain fingerprinting (ID'ing individuals), HOI metrics outperform classical functional connectivity (FC)

Huge thanks for this fun collaboration to past and present members of the NPLab — @matte_blacks, @simonepoetto , @DavideOrsenigo , Matteo Diano, @GaticaMarilyn , @lordgrilo 🙌🧠

Beyond Pairwise Interactions: Charting Higher-Order Models of Brain Function biorxiv.org/content/10.110… (led by @andreasantor0 and @GaticaMarilyn, @matte_blacks, @DavideOrsenigo, Matteo Diano)

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📢 New preprint alert! With @carlosmig_12 @rherzoga @matte_blacks We propose a computational framework for diversity-sensitive brain health combining: • Brain clocks • High-order interactions • 🧠 Whole-brain modeling Curious to hear your thoughts! 👇 authorea.com/users/825533/a…