Cooperative and Competitive Spreading Dynamics on the Human Connectome.
- Mišić B Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN 47405-7007, USA.
- Betzel RF Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10(th) Street, Bloomington, IN 47405-7007, USA.
- Nematzadeh A School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
- Goñi J Indiana University Network Science Institute, Indiana University, 1022 E. 3(rd) Street, Bloomington, IN 47405, USA.
- Griffa A 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.
- Hagmann P 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.
- Flammini A School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
- Ahn YY School of Informatics and Computing, Indiana University, 919 E. 10(th) Street, Bloomington, IN 47408, USA.
- Sporns O 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.
- 2015-06-19
Published in:
- Neuron. - 2015
Adult
Brain
Competitive Behavior
Connectome
Cooperative Behavior
Diffusion Tensor Imaging
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Models, Neurological
Neural Pathways
Nonlinear Dynamics
Oxygen
Young Adult
English
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.
- Language
-
- English
- Open access status
- bronze
- Identifiers
-
- DOI 10.1016/j.neuron.2015.05.035
- PMID 26087168
- Persistent URL
- https://folia.unifr.ch/global/documents/106251
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