Title |
The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack
|
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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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% |