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Cooperative and Competitive Spreading Dynamics on the Human Connectome

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Publication date 2015
Author Mišić Bratislav, Betzel Richard F., Nematzadeh Azadeh, Goñi Joaquin, Griffa Alessandra, Hagmann Patric, Flammini Alessandro, Ahn Yong-Yeol, Sporns Olaf,
Project Imaging the connectome in the early phase of psychosis
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Original article (peer-reviewed)

Journal Neuron
Volume (Issue) 86(6)
Page(s) 1518 - 1529
Title of proceedings Neuron
DOI 10.1016/j.neuron.2015.05.035

Open Access

Abstract

Increasingly detailed data on the network topology of neural circuits create a need for theoretical principles that explain how these networks shape neural communication. Here we use a model of cascade spreading to reveal architectural features of human brain networks that facilitate spreading. Using an anatomical brain network derived from high-resolution diffusion spectrum imaging (DSI), we investigate scenarios where perturbations initiated at seed nodes result in global cascades that interact either cooperatively or competitively. We find that hub regions and a backbone of pathways facilitate early spreading, while the shortest path structure of the connectome enables cooperative effects, accelerating the spread of cascades. Finally, competing cascades become integrated by converging on polysensory associative areas. These findings show that the organizational principles of brain networks shape global communication and facilitate integrative function.
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