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The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002885
Pubmed ID
Authors

Karen E. Joyce, Satoru Hayasaka, Paul J. Laurienti

Abstract

In recent years, the field of network science has enabled researchers to represent the highly complex interactions in the brain in an approachable yet quantitative manner. One exciting finding since the advent of brain network research was that the brain network can withstand extensive damage, even to highly connected regions. However, these highly connected nodes may not be the most critical regions of the brain network, and it is unclear how the network dynamics are impacted by removal of these key nodes. This work seeks to further investigate the resilience of the human functional brain network. Network attack experiments were conducted on voxel-wise functional brain networks and region-of-interest (ROI) networks of 5 healthy volunteers. Networks were attacked at key nodes using several criteria for assessing node importance, and the impact on network structure and dynamics was evaluated. The findings presented here echo previous findings that the functional human brain network is highly resilient to targeted attacks, both in terms of network structure and dynamics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
Hungary 1 <1%
Mexico 1 <1%
Russia 1 <1%
Unknown 129 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 27%
Student > Ph. D. Student 34 25%
Student > Master 10 7%
Student > Doctoral Student 9 7%
Student > Bachelor 8 6%
Other 19 14%
Unknown 18 13%
Readers by discipline Count As %
Neuroscience 28 21%
Psychology 16 12%
Agricultural and Biological Sciences 15 11%
Physics and Astronomy 12 9%
Medicine and Dentistry 11 8%
Other 29 21%
Unknown 24 18%