Model of brain activation predicts the neural collective influence map of the brain
Abstract
Evidence suggests that the brain is arranged in functionally specialized modules to form a network of networks (NoN). Understanding how functionality emerges from the integration of such modular architectures is one of the greatest scientific challenges. We introduce a model of brain NoN, which is robust against random node failures, captures the integration of functionally specialized modules in the brain, and provides falsifiable predictions about the locations of the most influential nodes, called neural collective influencers, in the brain network—predictions that are impossible in existing but fragile models of interdependent NoN. If confirmed by experiment, our results may pave the way for applications of clinical interest.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 28, 2017
- Source ID
- 10.1073/pnas.1620808114
Entities
People
- Byungjoon Min
- Flaviano Morone
- H. Eugene Stanley
- Hernán A Makse
- Kevin A. Roth
Organizations
- Boston University
- City College of New York
- Defense Threat Reduction Agency
- Division of Civil, Mechanical & Manufacturing Innovation
- ETH Zurich
- National Science Foundation Directorate for Biological Sciences
- United States Department of Energy