title: Cooperative and Competitive Spreading Dynamics on the Human Connectome.
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.
authors.affiliation: Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN 47405-7007, USA.
authors.forename: Bratislav
authors.initials: B
authors.lastname: Mišić
authors.affiliation: Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN 47405-7007, USA.
authors.forename: Richard F
authors.initials: RF
authors.lastname: Betzel
authors.affiliation: School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
authors.forename: Azadeh
authors.initials: A
authors.lastname: Nematzadeh
authors.affiliation: Indiana University Network Science Institute, Indiana University, 1022 E. 3(rd) Street, Bloomington, IN 47405, USA.
authors.forename: Joaquin
authors.initials: J
authors.lastname: Goñi
authors.affiliation: Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Route Cantonale, 1015 Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 21, 1011 Lausanne, Switzerland.
authors.forename: Alessandra
authors.initials: A
authors.lastname: Griffa
authors.affiliation: Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Route Cantonale, 1015 Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 21, 1011 Lausanne, Switzerland.
authors.forename: Patric
authors.initials: P
authors.lastname: Hagmann
authors.affiliation: School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Flammini
authors.affiliation: School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
authors.forename: Yong-Yeol
authors.initials: YY
authors.lastname: Ahn
authors.affiliation: Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN 47405-7007, USA; Indiana University Network Science Institute, Indiana University, 1022 E. 3(rd) Street, Bloomington, IN 47405, USA. Electronic address: osporns@indiana.edu.
authors.forename: Olaf
authors.initials: O
authors.lastname: Sporns
mesh_terms: D000328:Adult; D001921:Brain / Q000033:anatomy & histology / Q000098:blood supply / Q000502:physiology*; D003163:Competitive Behavior; D063132:Connectome; D003299:Cooperative Behavior; D056324:Diffusion Tensor Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008959:Models, Neurological; D009434:Neural Pathways; D017711:Nonlinear Dynamics; D010100:Oxygen / Q000097:blood; D055815:Young Adult
chemical_list: D010100:Oxygen