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Daniel Gutierrez-Barragan on Muck Rack

Daniel Gutierrez-Barragan

As seen in: Nature, PLOS, BioRxiv, Cell Press
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Articles

Competitive interactions shape mammalian brain network dynamics and computation

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By Andrea Luppi, Yonatan Sanz Perl, Jakub Vohryzek, Hana Ali, Pedro Mediano, Fernando Rosas, Filip Milisav, Laura E Suarez, Silvia Gini, Daniel Gutierrez-Barragan, Yohan Yee, Sean Froudist-Walsh, Alessandro Gozzi, Bratislav Misic, Gustavo Deco, Morten L. Kringelbach
| Nature Verified
Abstract How does brain network architecture balance cooperation and competition between distributed circuits? Here we use computational whole-brain modeling to examine the dynamical and computational relevance of cooperative and competitive interactions in the mammalian connectome. Across human, macaque and mouse, we show that to faithfully reproduce brain activity, model architecture consistently combines modular cooperative interactions with diffuse, long-range competitive interactions.
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Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain

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By Diego Fasoli, Ludovico Coletta, Daniel Gutierrez-Barragan
| PLOS
Citation: Fasoli D, Coletta L, Gutierrez-Barragan D, Gini S, Gozzi A, Panzeri S (2026) Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain. PLoS Comput Biol 22(2): e1013995. https://doi.org/10.1371/journal.pcbi.1013995 Editor: Samir Suweis, University of Padova: Universita degli Studi di Padova, ITALY Received: January 25, 2025; Accepted: February 6, 2026; Published: February 20, 2026 Copyright: © 2026 Fasoli et al.
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Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain

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By Ludovico Coletta, Daniel Gutierrez-Barragan, Alessandro Gozzi, Diego Fasoli
| BioRxiv
Abstract Resting state fMRI activity in mammals exhibits rich dynamics on a fast, frame-by-frame timescale of seconds, including the robust emergence of recurring fMRI co-activation patterns (CAPs). To understand how such dynamics emerges from the underlying anatomical cortico-cortical connectivity, we developed a whole-cortex model of resting-state fMRI activity in the mouse.
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