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Title: Model of brain activation predicts the neural collective influence map of the brain

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
 [1];  [2];  [3]; ORCiD logo [3];  [1]
  1. Levich Institute and Physics Department, City College of New York, New York, NY 10031,
  2. Levich Institute and Physics Department, City College of New York, New York, NY 10031,, Theoretical Physics, Eidgenössische Technische Hochschule Zürich, 8093 Zürich, Switzerland,
  3. Center for Polymer Studies and Physics Department, Boston University, Boston, MA 02215

Significance 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.

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC07-05Id14517
OSTI ID:
1351030
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Vol. 114 Journal Issue: 15; ISSN 0027-8424
Publisher:
Proceedings of the National Academy of SciencesCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 41 works
Citation information provided by
Web of Science

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